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219 results for “Knowledge Graph”
Multilingual Knowledge Graph Completion With Joint Relation and Entity Alignment
<p>Code and data accompanying AlignKGC.</p>
CityGML Virtual Knowledge Graph
<p>This resource contains files for building a Virtual Knowledge Graph from CityGML data. It also includes data from the Bavaria area for demoing purposes.</p>
AI4PROFHEALTH - Profession-health status knowledge graph
<p>This dataset comprises a profession-clinical knowledge graph, derived from the co-occurrence of normalised concepts identified in two distinct corpora: the Mesinesp2 corpus, a manually annotated corpus in which domain experts have labelled a set of scientific literature, clinical trials, and patent abstracts, as well as clinical case reports. The application of different NER systems to each corpus has enabled the extraction of clinical mentions related to diseases, drugs, locations, procedures, species, species-human, and symptoms.</p> <p>The repository contains a .zip file for each of the corpus, each containing the following columns order:</p> <ul> <li><code><strong>span_mention_1</strong></code>: Mention string (original): profession</li> <li><code><strong>normalized_entity_1</strong></code>: Controlled vocabulary entry for this term</li> <li><code><strong>code_mention_1</strong></code>: ID terminology for normalization</li> <li><code><strong>mention_controlled_vocab</strong></code>: Terminology used for normalization</li> <li><code><strong>mention1_category</strong></code>: Semantic class (i.e., NER label)</li> <li><code><strong>mention1_freq</strong></code>: Absolute frequency of this mention entity 1</li> <li><code><strong>span_mention_2</strong></code>:<strong> </strong>Mention string (original): entity 2 (disease, symptom, species, etc.)</li> <li><code><strong>normalized_entity_2</strong></code>: Controlled vocabulary entry for this term</li> <li><code><strong>code_mention_2</strong></code>: ID terminology for normalization</li> <li><code><strong>mention_controlled_vocab</strong></code>:<strong> </strong>Terminology used for normalization</li> <li><code><strong>mention2_category</strong></code>:<strong> </strong>Semantic class (i.e., NER label)</li> <li><code><strong>mention1_freq</strong></code>:<strong> </strong>Absolute frequency of this mention entity 2</li> <li><code><strong>co-occurrence</strong></code>: Number of co-occurrences</li> </ul> <p><strong>Notes</strong></p> <p>This resource been funded by the Spanish National Proyectos I+D+i 2020 AI4ProfHealth project PID2020-119266RA-I00 (PID2020-119266RA-I0/AEI/10.13039/501100011033).</p> <p><strong>Contact</strong></p> <p>If you have any questions or suggestions, please contact us at:</p> <p>- Miguel Rodríguez Ortega (<miguel [dot] rod [at] bsc [dot] com>)<br>- Martin Krallinger (<krallinger [dot] martin [at] gmail [dot] com>)</p> <p><strong>Additional resources and corpora</strong></p> <p>If you are interested, you might want to check out these corpora and resources:</p> <ul> <li><a href="../records/7116201">MEDDOPROF</a> (Corpus of mentions of professions, occupations and working status and normalization, different document collection with some overlapping documents)</li> <li><a href="https://zenodo.org/records/5602914">MESINESP-2</a> (Corpus of manually indexed records with DeCS /MeSH terms comprising scientific literature abstracts, clinical trials, and patent abstracts, different document collection)</li> </ul> <p> </p>
Women Writing around the Camera Knowledge Graph
<p>The Women Writing around the Camera Knowledge Graph maps the personal and professional networks about Italian cinema divas' lives, focusing on the dynamics between actresses' writings and films in which they performed, along with a comprehensive taxonomy of concepts and keywords that encapsulate the key themes for studying the lives of Italian actresses.</p>
EncycNet: A Knowledge Graph of Historical German Encyclopedias
<p><strong>EncycNet</strong> is an automatically constructed knowledge graph that uses historical German encyclopedias as a data source. You can read more about the project here: <a href="https://encycnet.github.io/">https://encycnet.github.io/</a></p> <p>The first version of the graph (0.1) contains <em>Meyers Großes Konversations-Lexikon </em>(1905), with 5 more encyclopedias to be added in 2024. Formatted in RDF Turtle.</p> <p>The second version of the graph (0.2) contains 3 encyclopedias in total, meaning triples were changed to quads (see code example at <a href="https://github.com/EncycNet/Encyc-Relations">https://github.com/EncycNet/Encyc-Relations</a>):</p> <ul> <li><em>Meyers Großes Konversations-Lexikon </em>(1905)</li> <li><em>Herders Conversations-Lexikon</em> (1854)</li> <li><em>Brockhaus Bilder-Conversations-Lexikon</em> (1837)</li> </ul> <p>The second version also handled some bug fixes concerning wrongly matched Wikidata entries.</p> <p>The third version (0.3) now additionally contains</p> <ul> <li><em>Brockhaus Conversations-Lexikon oder kurzgefaßtes Handwörterbuch</em> (1809)</li> </ul> <p>It also impoved some namespace issues and introduced <a href="https://www.wikidata.org/wiki/Property:P8371">P8371</a> as encyclopedic refeferences in this case.</p>
AMiner-534K: Knowledge Graph of AMiner benchmark for Author Name Disambiguation
<p>This dataset is a knowledge graph extracted from a <a href="https://static.aminer.cn/misc/na-data-kdd18.zip">AMiner benchmark</a> for a research project on knowledge graph embeddings (KGEs) for author disambiguation. Structural triples of the knowledge graph are split into training, testing and validation for applying representation learning methods. Textual literals and numeric literals were stored separately in order to implement multimodal approaches for KGEs (see <a href="https://arxiv.org/abs/1802.00934">arXiv:1802.00934</a>). For the same reason, textual literals and numeric literals are already stored into sentence embeddings and a numeric matrix respectively in the files <em>textual_literals.npy </em>and <em>numeric_literals.npy</em>. The file <em>and_eval</em><em>.json </em>contains the evaluation dataset used for evaluating our AND architecture. For the script used to gather this dataset see the GitHub repository: <a href="https://github.com/sntcristian/and-kge/tree/main/aminer">https://github.com/sntcristian/and-kge/tree/main/aminer</a>.</p>
Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery
<p>This contains data described in detail in our paper, "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery", where we develop a novel algorithm called RPath that prioritizes drugs for a given disease by reasoning over causal paths in a knowledge graph (KG), guided by both drug-perturbed as well as disease-specific transcriptomic signatures.</p>
Dataset for "Personalised Learning Environments Based on Knowledge Graphs and the Zone of Proximal Development"
<p>The dataset accompanying our paper "Personalised Learning Environments Based on Knowledge Graphs and<br> the Zone of Proximal Development" published in proceedings of CSEDU 2022.</p> <p>In the dataset you will find the raw csv results from both the explorative survey and the evaluation survey.<br> <br> The surveys were made in Google Forms and the results have also been exported as pdf files that are included as well.<br> <br> Finally, screenshots of the application, grouped by module can be found inside the screenshots.zip archive.</p>
Dataset for paper: " Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals"
<p>This dataset consists in two distinct scholarly knowledge graph created from two publicly available bibliographic datasets: 1) a triplestore covering information about the journal <em>Scientometrics</em> provided by <em>OpenCitations</em> (available <a href="https://doi.org/10.5281/zenodo.5151264">here</a>), and 2) the <em>AMiner </em>AND benchmark from 2018 available <a href="https://static.aminer.cn/misc/na-data-kdd18.zip">here</a>. This KG was extracted for a research project on knowledge graph embeddings (KGEs) for author disambiguation. Structural triples of the knowledge graphs are split into training, testing and validation for applying representation learning methods. Textual literals and numeric literals were stored separately in order to implement multimodal approaches for KGEs (see <a href="https://arxiv.org/abs/1802.00934">arXiv:1802.00934</a>). For the same reason, textual literals and numeric literals are already stored into sentence embeddings and a numeric matrix respectively in the files <em>textual_literals.npy </em>and <em>numeric_literals.npy </em>in order to simplify the representation learning task. The file <em>and_eval.json</em> of each KG contains the evaluation dataset used for evaluating our AND architecture. For the script used to gather this dataset see <a href="https://github.com/sntcristian/and-kge/tree/main/src/AMiner-534K">https://github.com/sntcristian/and-kge/tree/main/src/AMiner-534K</a> and <a href="https://github.com/sntcristian/and-kge/tree/main/src/OC-782K">https://github.com/sntcristian/and-kge/tree/main/src/OC-782K</a>.</p>
Ensembles of knowledge graph embedding models improve predictions for drug discovery
<p>This contains data described in detail in our paper, "Ensembles of knowledge graph embedding models improve predictions for drug discovery". The metadata involves the different trained models that were used for prediction analysis as well as all the predictions from the trained models.</p>
VHAKG: Multi-modal Knowledge Graphs with Multi-view Videos of Daily Activities
<h2>Outline</h2> <ul> <li>This dataset is a multimodal knowledge graph (MMKG) of daily activity videos.</li> <li>This dataset integrates a KG with embedded multi-view videos created by <a href="https://github.com/aistairc/virtualhome_aist">VirtualHome-AIST</a>, an extended version of the VirtualHome simulator, and an event-centric KG generated by <a href="https://github.com/aistairc/virtualhome2kg">VirtualHome2KG</a>.</li> <li>We named this dataset <strong>VHAKG</strong> (VirtualHome-AIST-KG).</li> </ul> <h2>Details</h2> <ul> <li>VHAKG describes 2D bounding boxes of objects every five frames, compositional activities, primitive actions, target objects, object states, 3D bounding boxes, and their time-series changes.</li> <li>The videos are encoded in base64 and embedded as a literal value.</li> <li>VHAKG consists of 706 daily activity scenarios (e.g., clean desk, cook fried bread, and relax on sofa) and 3,530 videos captured by five synchronized cameras per scenario.</li> <li>The file format is <a href="https://www.w3.org/RDF/">RDF</a> (<a href="https://en.wikipedia.org/wiki/Turtle_(syntax)">Turtle</a>), which can be loaded into various <a href="https://en.wikipedia.org/wiki/Triplestore">Triplestores</a>.</li> <li>VHAKG's vocabularies are defined as an ontology and can be found in vh2kg_schema_v2.0.0.ttl.</li> </ul> <h2>Contents</h2> <ul> <li>vh2kg_video_base64.tar.gz <ul> <li><strong>{activity name}{scene}_{camera}_2dbbox.ttl</strong>: KG with video embedded in base64 format, including 2D bounding box data every 5 frames. <ul> <li>To learn more about {scene}, check <a href="https://github.com/xavierpuigf/virtualhome/tree/v2.2.0/simulation#environment">here</a>.</li> <li>To learn more about {camera}, check <a href="https://github.com/aistairc/virtualhome_unity_aist?tab=readme-ov-file#addition-of-new-four-cameras">here</a>.</li> </ul> </li> </ul> </li> <li>vh2kg_event.tar.gz <ul> <li><strong>{activity name}_{scene}.ttl</strong>: Event-centric KGs representing video content as sequences of events.</li> <li><strong>vh2kg_schema_v2.0.0.ttl</strong>: The ontology file of this dataset.</li> <li><strong>affordance.ttl</strong>: The affordance data of objects that were created by crowdsourcing. <ul> <li>Please see Section III.B of <a href="https://doi.org/10.1109/ACCESS.2023.3253807" target="_blank" rel="noopener">this paper</a> for more information.</li> </ul> </li> <li><strong>add_places.ttl</strong>: Events in which agents moved from one room to another.</li> </ul> </li> </ul> <h2>Tools</h2> <ul> <li><a href="https://github.com/aistairc/vhakg-tools">A set of tools</a> for searching and extracting videos from VHAKG is available.</li> </ul>
FLIP-KG: Enriching Automated Knowledge Graph Extraction with Tacit Knowledge. The Case of Lyrical Implicatures within Poems
<p>FLIP-KG: Enriching Automated Knowledge Graph Extraction with Tacit Knowledge. The Case of Lyrical Implicatures within Poems. Dataset for the task force "Vulcan" from ISWS 2024 led by Aldo Gangemi and Andrea Poltronieri</p>
ClaimsKG - A Knowledge Graph of Fact-Checked Claims
<blockquote> <p><strong>The latest release of ClaimsKG is available in <a href="https://data.gesis.org/sharing/#!Detail/10.7802/2469">Datorium</a>.</strong></p> </blockquote> <p><strong>ClaimsKG</strong> is a <em>knowledge graph</em> of metadata information for thousands of fact-checked claims which facilitates structured queries about their truth values, authors, dates, and other kinds of metadata. <strong>ClaimsKG </strong>is generated through a (semi-)automated pipeline, which harvests claim-related data from popular fact-checking web sites, annotates them with related entities from DBpedia, and lifts all data to RDF using an RDF/S model that makes use of established vocabularies (such as schema.org). </p> <p><strong>ClaimsKG </strong>does NOT contain the text of the reviews from the fact-checking web sites; it only contains structured metadata information and links to the reviews.</p> <p>More information, such as statistics, query examples and a user friendly interface to explore the knowledge graph, is available at: <a href="https://data.gesis.org/claimskg/site">https://data.gesis.org/claimskg/site</a></p> <p>If you use <strong>ClaimsKG</strong>, please cite the below paper:</p> <p>Tchechmedjiev, Andon, Pavlos Fafalios, Katarina Boland, Malo Gasquet, Matthäus Zloch, Benjamin Zapilko, Stefan Dietze, and Konstantin Todorov. "ClaimsKG: a Knowledge Graph of Fact-Checked Claims." In <em>International Semantic Web Conference</em>, pp. 309-324. Springer, Cham, 2019. <a href="https://doi.org/10.1007/978-3-030-30796-7_20">https://doi.org/10.1007/978-3-030-30796-7_20</a><br> [<a href="http://users.ics.forth.gr/~fafalios/files/pubs/ISWC2019_ClaimsKG.pdf">pdf</a>, <a href="http://users.ics.forth.gr/~fafalios/files/bibs/ISWC2019_ClaimsKG.bib">bib</a>] </p>
LLM-Based Knowledge Graph Construction from Materials Research Scientific Literature
<p>This dataset was constructed by creating a benchmark of 349 manually annotated triples, which were extracted from four different research articles in the field of materials science.</p>
SPARQL-Queries: Patterns in modeling and querying a knowledge graph for literary history
<p>All SPARQL queries documented here refer to the SPARQL endpoint: <u><a href="https://query.mimotext.uni-trier.de/">https://query.mimotext.uni-trier.de</a></u>. The queries are supplement to the following preprint: <span><a href="https://doi.org/10.5281/zenodo.12080340">https://doi.org/10.5281/zenodo.12080340</a></span>.</p> <ul> <li>Query 0, Fig 3: <u><a href="https://query.mimotext.uni-trier.de/#PREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0A%23defaultView%3AGraph%0ASELECT%20%3Fitem1%20%3Fitem1Label%20%3Fitem2%20%3Fitem2Label%20%3FedgeLabel%20%0AWITH%20%7B%0A%20%20SELECT%20%3Fitem1%20WHERE%20%7B%0A%20%20%20%20VALUES%20%3Fitem1%20%7B%20mmd%3AQ1011%20mmd%3AQ981%20mmd%3AQ2%20mmd%3AQ3039%20mmd%3AQ38%20mmd%3AQ3126%20mmd%3AQ3335%20mmd%3AQ3259%20mmd%3AQ3906%7D%0A%20%20%7D%0A%7D%20AS%20%25item1%0AWITH%20%7B%0A%20%20SELECT%20%28%3Fitem1%20AS%20%3Fitem2%29%20WHERE%20%7B%0A%20%20%20%20INCLUDE%20%25item1.%0A%20%20%7D%0A%7D%20AS%20%25item2%0AWHERE%20%7B%0A%20%20INCLUDE%20%25item1.%0A%20%20INCLUDE%20%25item2.%0A%20%20%3Fitem1%20%3Fwdt%20%3Fitem2.%0A%20%20%3Fedge%20wikibase%3AdirectClaim%20%3Fwdt%3B%0A%20%20%20%20%20%20%20%20a%20wikibase%3AProperty.%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%20%7D%0A%7D" target="_blank" rel="noopener">Authors (here: ‘Voltaire’) and works (here: ‘Le Micromégas’) in subject position shown as Graph</a></u></li> <li>Query 1: <u><a href="https://query.mimotext.uni-trier.de/#PREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIx%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0ASELECT%20%3Fsubject%20%28COUNT%28%3Fo%29%20as%20%3Fcounts%29%0AWHERE%20%7B%0A%20%20VALUES%20%28%3Fp%20%3Fo%29%20%7B%20%28mmdt%3AP2%20mmd%3AQ2%29%20%28mmdt%3AP11%20mmd%3AQ11%29%20%28mmdt%3AP2%20mmd%3AQ20%29%20%28mmdt%3AP2%20mmd%3AQ26%29%20%7D%0A%20%20%3Fitem%20%3Fp%20%3Fo.%0A%20%20BIND%28IF%28%3Fo%20%3D%20mmd%3AQ2%2C%20%22novels%22%2C%20%0A%20%20%20%20%20%20%20%20%20%20IF%28%3Fo%20%3D%20mmd%3AQ11%2C%20%22authors%22%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%20IF%28%3Fo%20%3D%20mmd%3AQ20%2C%20%22thematic%20concepts%22%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20IF%28%3Fo%20%3D%20mmd%3AQ26%2C%20%22spatial%20concepts%22%2C%20%22none%22%29%0A%20%20%20%20%20%20%20%20%20%20%20%29%0A%20%20%20%20%20%20%20%20%20%20%29%0A%20%20%20%20%20%20%20%20%20%29%20as%20%3Fsubject%29%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%7DGROUP%20BY%20%3Fo%20%3Fsubject" target="_blank" rel="noopener">Count of novels, authors, thematic concepts and spatial concepts</a></u></li> <li>Query 2: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3A%20Narrative%20locations%20of%20literary%20works%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%3FnarrativeLoc%20%3FnarrativeLocLabel%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP32%20%3FnarrativeLoc.%20%23item%20has%20narrative%20location%28s%29%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%20%20%7D" target="_blank" rel="noopener">Narrative locations of literary works</a></u></li> <li>Query 3: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3A%20Novels%20set%20in%20%27imaginary%20place%27%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Fitem%20%3FitemLabel%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP32%20mmd%3AQ3371.%20%23%20item%20has%20narrative%20location%20%27imaginary%20place%27%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%20%20%0A%0A%7D" target="_blank" rel="noopener">Novels set in ‘imaginary place’</a></u></li> <li>Query 4: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ANovels%20that%20have%20theme%20%27miracle%27%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Fitem%20%3FitemLabel%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP36%20mmd%3AQ2990.%20%23%20item%20is%20about%20miracle%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%20%20%0A%0A%7D" target="_blank" rel="noopener">Novels that have theme ‘miracle’</a></u></li> <li>Query 5: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ANovels%20published%20in%20Paris%20between%201780%20and%201790%20that%20have%20theme%20%27philosophy%27%20%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%3Fyear%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP10%20mmd%3AQ3521%3B%20%23item%20was%20published%20in%20Paris%0A%20%20%20%20%20%20%20%20mmdt%3AP36%20mmd%3AQ3039%3B%20%23item%20is%20about%20philosophy%0A%20%20%20%20%20%20%20%20mmdt%3AP9%20%3Fdate.%20%23item%20has%20publication%20date.%0A%0A%20%20FILTER%28%3Fdate%20%3E%3D%20%221780%22%5E%5Exsd%3AdateTime%20%26%26%20%3Fdate%20%3C%3D%20%221790%22%5E%5Exsd%3AdateTime%29.%0A%20%20BIND%28YEAR%28%3Fdate%29%20as%20%3Fyear%29.%0A%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%20%20%0A%0A%7D" target="_blank" rel="noopener">Novels published in Paris between 1780 and 1790 that have theme ‘philosophy’</a></u></li> <li>Query 6: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AQuery%20to%20retrieve%20some%20data%20about%20the%20MiMoTextBase%20such%20as%20Authors%2C%20Novels%2C%20publicationyears%2C%20tonality%20etc.%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%3Fbgrf%20%3Fitem%20%3FitemLabel%20%3FauthorLabel%20%3Fyear%20%3Fnarrpers%20%3Ftonality%20%3Fpages%20%3Fdist_format%20WHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2.%20%23item%20is%20instance%20of%20literary%20work%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP5%20%3Fauthor%7D%20%23item%20has%20author%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP4%20%3Ftitle%7D%20%23item%20has%20title%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP22%20%3Fbgrf%7D%20%20%23item%20has%20identifier%20in%20the%20bibliographic%20metadata%3F%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP9%20%3Fdate%7D%20%23item%20has%20publication%20date%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP27%20%3Fnarrpers%7D%20%23item%20has%20narrative%20form%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP31%20%3Ftonality%7D%20%23item%20has%20tonality%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP25%20%3Fpages%7D%20%23item%20has%20page%20information%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP26%20%3Fdist_format%7D%20%23item%20has%20distribution%20format%20%28optionally%29%0A%20%20BIND%28YEAR%28%3Fdate%29%20as%20%3Fyear%29%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2C%20fr%22.%20%7D%0A%7D%20ORDER%20BY%20%3Fyear" target="_blank" rel="noopener">Query to retrieve some data about the MiMoTextBase such as Authors, Novels, publicationyears, tonality etc.</a></u></li> <li>Query 7, Fig. 5: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AThemes%20occuring%20in%20novels%20of%20intention%20satire%0A%23defaultView%3ABubbleChart%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0ASELECT%20%3Ftheme%20%28SAMPLE%28%3FthemeLabel%29%20as%20%3Fname%29%20%20%28count%28%2A%29%20as%20%3Fcount%29%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23%20item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP39%20mmd%3AQ3906%3B%20%23novel%20has%20intention%20satire%0A%20%20%20%20%20%20%20%20mmdt%3AP36%20%3Ftheme.%20%23novel%20has%20theme%0A%20%20%20%20%20%20%3Ftheme%20rdfs%3Alabel%20%3FthemeLabel%20.%0A%20%20%20%20%20%20FILTER%20%28LANG%28%3FthemeLabel%29%20%3D%20%22en%22%29%20.%0A%7D%0AGROUP%20BY%20%3Ftheme%0AORDER%20BY%20DESC%28%3Fcount%29" target="_blank" rel="noopener">Themes occuring in novels of intention satire</a></u></li> <li>Query 8: <u><a href="https://query.mimotext.uni-trier.de/#%23defaultView%3ABarChart%0A%23title%3ARatio%20of%20the%20theme%20%27nature%27%20over%20time%0A%23count%20of%20%27nature%27%20%28countNature%29%20as%20a%20novel%20theme%20in%20relation%20to%20the%20number%20of%20novels%20published%20per%20year%20%28countAll%29%3B%20ratio%2C%20as%20novel%20production%20is%20rising%20strongly%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0ASELECT%20%3Fdate%20%28%3FcountNature%20%2F%20%3FcountAll%20AS%20%3Frel%29%20%20%3FcountNature%20%3FcountAll%20%20WHERE%20%7B%0A%20%20%7B%0A%20%20%20%20%20%20%20%20SELECT%20%3Fdate%20%28COUNT%28%2A%29%20AS%20%3FcountNature%29%20WHERE%20%7B%0A%20%20%20%20%20%20%20%20%3Fitem%20mmdt%3AP9%20%3Fdate%3B%0A%20%20%20%20%20%20%20%20%20%20mmdt%3AP36%20mmd%3AQ3005.%0A%20%20%20%20BIND%28YEAR%28%3Fdate%29%20as%20%3Fyear%29%0A%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%20%20GROUP%20BY%20%3Fdate%0A%20%20%7D%0A%20%20%7B%0A%20%20%20%20%20%20%20%20SELECT%20%3Fdate%20%28COUNT%28%2A%29%20AS%20%3FcountAll%29%20WHERE%20%7B%0A%20%20%20%20%20%20%20%20%3Fitem%20mmdt%3AP9%20%3Fdate%3B%0A%20%20%20%20%20%20%20%20%20%20mmdt%3AP36%20%3Ftopic.%0A%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%20%20GROUP%20BY%20%3Fdate%0A%20%20%7D%0A%7D" target="_blank" rel="noopener">Ratio of the theme ‘nature’ over time</a></u></li> <li>Query 9: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AThematic%20concepts%20of%20novels%20referenced%20by%20%E2%80%98Topic%20Modeling%E2%80%99%0A%23defaultView%3ABubbleChart%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0APREFIX%20mmpr%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Freference%2F%3E%0APREFIX%20mmps%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fstatement%2F%3E%0APREFIX%20prov%3A%20%3Chttp%3A%2F%2Fwww.w3.org%2Fns%2Fprov%23%3E%0A%0ASELECT%20%3FthemeLabel%20%28COUNT%28%2A%29%20AS%20%3Fcount%29%20WHERE%20%7B%0A%20%20%3Fstatement%20mmps%3AP36%20%3Ftheme%3B%0A%20%20%20%20%20%20%20%20prov%3AwasDerivedFrom%20%3Frefnode.%0A%20%20%3Frefnode%20mmpr%3AP18%20mmd%3AQ21.%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%20%7D%0A%7D%0AGROUP%20BY%20%3FthemeLabel" target="_blank" rel="noopener">Thematic concepts of novels referenced by ‘Topic Modeling’</a></u></li> <li>Query 10, Fig. 6: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AThematic%20statements%20derived%20from%20%E2%80%98topic%20modeling%E2%80%99%20and%20the%20bibliography%0A%23Statements%20on%20consistent%20topics%20in%20novels%20from%20both%20sources%3A%20Topic%20Modeling%20%26%20bibliographic%20metadata%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%20%0APREFIX%20mmps%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fstatement%2F%3E%0APREFIX%20mmpr%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Freference%2F%3E%0APREFIX%20mmp%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2F%3E%0A%0ASELECT%20%3Fnovel%20%3FnovelLabel%20%3FtopicLabel%20%3FBGRF_plot_theme%20WHERE%0A%7B%20%20%20%0A%20%20%20%20%3Fnovel%20mmp%3AP36%20%3Fstatement.%0A%20%20%20%20%3Fstatement%20mmps%3AP36%20%3Ftopic.%0A%20%20%20%20%3Fstatement%20prov%3AwasDerivedFrom%2Fmmpr%3AP18%20mmd%3AQ21.%20%23reference%20statement%20uses%20%27P18%27%3D%27stated%20in%27%20topic%20modeling%0A%20%20%20%20%3Fstatement%20prov%3AwasDerivedFrom%2Fmmpr%3AP18%20mmd%3AQ1.%20%23reference%20statement%20uses%20%27P18%27%3D%27stated%20in%27%20bibliographie%20%20%0A%20%20%20%20%3Fnovel%20mmdt%3AP30%20%3FBGRF_plot_theme.%20%23statement%20in%20the%20BGRF%20about%20the%20plot%20theme.%0A%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%20%7D%0A%7D" target="_blank" rel="noopener">Thematic statements referenced by ‘topic modeling’ and the bibliography</a></u></li> <li>Query 11: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AOverview%20over%20controlled%20vocabularies%0A%23%20Query%20to%20retrieve%20the%20different%20controlled%20vocabularies%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%3Fvoc%20%3FvocLabel%20%28COUNT%28%3FvocLabel%29%20as%20%3Fcount%29%20%28COUNT%28%3Fwikimatch%29%20as%20%3Fwikimatch%29%0AWHERE%20%7B%0A%20%20%20%3Fitem%20mmdt%3AP37%20%3Fvoc.%0A%20%20%20%3Fvoc%20mmdt%3AP2%2Fmmdt%3AP1%20mmd%3AQ17.%0A%20%20%20OPTIONAL%7B%0A%20%20%20%20%20values%20%3Fwiki%20%7Bmmdt%3AP13%20mmdt%3AP16%7D%0A%20%20%20%20%20%3Fitem%20%3Fwiki%20%3Fwikimatch%7D%0A%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%20%20%7D%0AGROUP%20BY%20%3Fvoc%20%3FvocLabel%0AORDER%20BY%20DESC%28%3Fcount%29" target="_blank" rel="noopener">Overview over controlled vocabularies</a></u></li> <li>Query 12: <u><a href="https://query.mimotext.uni-trier.de/#%23%20get%20combinations%20of%20narrative%20Form%20and%20intention%20per%20year%0A%23defaultView%3ABarChart%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%20%0A%0ASELECT%20%3Fyear%20%28COUNT%28%2A%29%20as%20%3Fcount%29%20%3FnarrFormTone%0A%20%20WHERE%7B%0A%20%20%20%20%3Fitem%20mmdt%3AP9%20%3Fpublicationdate.%20%23%20get%20publication%20date%0A%20%20%20%20%3Fitem%20mmdt%3AP38%20%3Ftone.%20%23%20get%20intention%0A%20%20%20%20BIND%28str%28YEAR%28%3Fpublicationdate%29%29%20as%20%3Fyear%29.%20%23%20extract%20year%20from%20pubdate%0A%20%20%20%20%3Fitem%20mmdt%3AP33%20%3FnarrForm.%20%23%20get%20narrative%20form%20%20%20%0A%20%20%20%20%3Ftone%20rdfs%3Alabel%20%3FtoneLabel.%0A%20%20%20%20FILTER%28LANG%28%3FtoneLabel%29%20%3D%20%22en%22%29.%0A%20%20%20%20%3FnarrForm%20rdfs%3Alabel%20%3FnarrFormLabel.%0A%20%20%20%20FILTER%28LANG%28%3FnarrFormLabel%29%20%3D%20%22en%22%29.%20%0A%20%20%20%20BIND%28CONCAT%28STR%28%3FnarrFormLabel%29%2C%20%22%20--%20%22%20%2C%20STR%28%3FtoneLabel%29%29%20as%20%3FnarrFormTone%29.%0A%20%20%7D%0AGROUP%20BY%20%3Fyear%20%3FnarrFormTone%0AHAVING%20%28%3Fcount%20%3E%201%29%0AORDER%20BY%20%3Fyear" target="_blank" rel="noopener">Combinations of narrative Form and intention per year</a></u></li> <li>Query 13: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ATopic%20labels%20in%20English%2C%20French%20and%20German%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0A%0ASELECT%20DISTINCT%20%3Ftopic%20%3FtopicLabel_EN%20%3FtopicLabel_FR%20%3FtopicLabel_DE%20WHERE%20%7B%0A%20%20%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%0A%20%20%20%20%20%20%20%20mmdt%3AP36%20%3Ftopic.%0A%20%0A%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_EN.%0A%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_FR.%0A%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_DE.%0A%20%20%0A%20%20FILTER%28LANG%28%3FtopicLabel_EN%29%20%3D%20%22en%22%29.%0A%20%20FILTER%28LANG%28%3FtopicLabel_FR%29%20%3D%20%22fr%22%29.%0A%20%20FILTER%28LANG%28%3FtopicLabel_DE%29%20%3D%20%22de%22%29.%0A%0A%7D" target="_blank" rel="noopener">Topic labels in English, French and German using rdfs:label and Filter</a></u></li> <li>Query 14: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3A%20Topic%20labels%20in%20English%2C%20French%20and%20German%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Ftopic%20%3FtopicLabel_EN%20%3FtopicLabel_FR%20%3FtopicLabel_DE%0A%20%20%20WHERE%20%7B%0A%20%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%0A%20%20%20%20%20%20%20%20%20mmdt%3AP36%20%3Ftopic.%20%20%0A%20%20%20%20%20%0A%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%0A%20%20%20%20%20%20%20%20%20%20%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_EN.%0A%20%20%20%20%20%7D%0A%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22de%22.%0A%20%20%20%20%20%20%20%20%20%20%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_DE.%0A%20%20%20%20%20%7D%20%0A%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22fr%22.%0A%20%20%20%20%20%20%20%20%20%20%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_FR.%0A%20%20%20%20%20%7D%20%0A%20%20%20%0A%20%20%20%7D" target="_blank" rel="noopener">Topic labels in English, French and German using Wikibase Label Service</a></u></li> <li>Query 15: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ALabels%20entered%20on%20wikidata-entry%20%27Voltaire%27%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%28LANG%28%3FVoltaireLabels%29%20as%20%3Flang%29%20%3FVoltaireLabels%20%0AWHERE%20%7B%20%0A%20%20%0A%20%20mmd%3AQ981%20mmdt%3AP13%20%3FwikiDataEntity.%20%23%20Voltaire%20has%20a%20wikidata%20match.%0A%0A%20%20%23Federated%20Query%20-%3E%20Wikidata%0A%20%20SERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%3FwikiDataEntity%20rdfs%3Alabel%20%3FVoltaireLabels.%0A%20%20%7D%20%20%20%20%20%20%20%20%20%20%20%20%20%20%0A%7D%0AORDER%20BY%20%3Flang" target="_blank" rel="noopener">Labels entered on wikidata-entry ‘Voltaire’</a></u></li> <li>Query 16, Fig. 9: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ANarrative%20locations%20of%20the%20novels%20on%20a%20map%0A%23defaultView%3AMap%7B%22markercluster%22%3A%22true%22%7D%0APREFIX%20wd%3A%20%3Chttp%3A%2F%2Fwww.wikidata.org%2Fentity%2F%3E%20%23wikidata%20wd%0APREFIX%20wdt%3A%20%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fdirect%2F%3E%20%23wikidata%20wdt%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0ASELECT%20DISTINCT%20%3Fitem%20%3FitemLabel%20%3Fnarr_loc%20%3Fnarr_locLabel%20%3FWikiDataEntity%20%3FcoordinateLocation%0AWHERE%20%7B%20%3Fitem%20mmdt%3AP32%20%3Fnarr_loc.%0A%20%20%3Fnarr_loc%20mmdt%3AP13%20%3FWikiDataEntity.%0A%20%20%23Federated%20Query%20-%3E%20Wikidata%0A%20%20SERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%20%20%20%20%20%20%3FWikiDataEntity%20wdt%3AP625%20%3FcoordinateLocation%0A%20%20%7D%20%20%20%20%20%20%20%20%20%20%20%20%20%20%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%20%7D%0A%7D" target="_blank" rel="noopener">Narrative location with geo coordinate locations via federated query</a></u></li> <li>Query 17: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AAlternative%20Labels%20of%20author%20names%20via%20%E2%80%98federated%E2%80%99%20queries%E2%80%99%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Fauthor%20%3FauthorLabel%20%3FwikidataEntity%20%3Faltname%0AWHERE%20%7B%0A%20%20%20%20%20%20%20%20%20%3Fitem%20mmdt%3AP5%20%3Fauthor.%0A%20%20%20%20%20%20%3Fauthor%20mmdt%3AP13%20%3FwikidataEntity.%20%20%23exact%20match%0A%20%0A%20%20%20%20%20%20%23Federated%20Query%20-%3E%20Wikidata%0ASERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%20%20%20%20%20%20%20%3FwikidataEntity%20skos%3AaltLabel%20%3Faltname%0A%20%20%20%20%20%20%7D%20%20%20%20%20%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%0A%20%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%0A%20%20%20%20%20%20%20%20%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%0A%20%20%20%20%20%20%7D%0A%7D%0ALIMIT%201000" target="_blank" rel="noopener">Alternative Labels of author names via ‘federated’ queries’</a></u></li> <li>Query 18, Fig. 10: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AMiMoText%20novels%20with%20URL%20to%20Biblioth%C3%A8que%20nationale%20de%20France%20%0A%23defaultView%3AImageGrid%0APREFIX%20wd%3A%20%3Chttp%3A%2F%2Fwww.wikidata.org%2Fentity%2F%3E%20%23wikidata%20prefix%20definition%20for%20entity%0APREFIX%20wdt%3A%20%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fdirect%2F%3E%20%23wikidata%20prefix%20definition%20for%20property%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%20%23mimotext%20prefix%20for%20entity%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%20%23mimotext%20prefix%20for%20property%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%3Fwikidata%20%3Fbnfurl%20%3Fimage%20%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2.%0A%20%20%3Fitem%20mmdt%3AP13%20%3Fwikidata.%0A%20%20%3Fitem%20rdfs%3Alabel%20%3FitemLabel%20.%0A%20%20FILTER%28lang%28%3FitemLabel%29%20%3D%20%22en%22%29%0A%20%20SERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%20%20%3Fwikidata%20wdt%3AP268%20%3Fbnfid.%0A%20%20%20%20OPTIONAL%7B%20%3Fwikidata%20wdt%3AP18%20%3Fimage.%7D%0A%20%20%20OPTIONAL%7B%20wd%3AP268%20wdt%3AP1630%20%3Fformatterurl.%7D%0A%20%20%20BIND%28IRI%28REPLACE%28%3Fbnfid%2C%20%27%5E%28.%2B%29%24%27%2C%20%3Fformatterurl%29%29%20AS%20%3Fbnfurl%29.%0A%20%20%7D%20%20%20%20%20%20%20%20%20%0A%7D" target="_blank" rel="noopener">Finding Identifiers on other Knowledge Graphs, for example Bibliothèque nationale de France ID</a></u></li> <li>Query 19, Fig. 11: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AInfluence%20networks%20of%20authors%20via%20%27federated%20query%27%0A%23defaultView%3AGraph%0APREFIX%20wd%3A%3Chttp%3A%2F%2Fwww.wikidata.org%2Fentity%2F%3E%20%23wikidata%20entity%0APREFIX%20wdt%3A%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fdirect%2F%3E%20%23wikidata%20property%0A%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Fitem%20%3FitemLabel%20%3FauthorLabel%20%3Finfluencedby%20%3Fimage%20%3Fname%0AWHERE%20%7B%0A%20%20%20%20%20%20%3Fitem%20mmdt%3AP5%20%3Fauthor.%0A%20%20%20%20%20%20%3Fauthor%20mmdt%3AP13%20%3FWikidataEntity.%20%20%23exact%20match%0A%20%20%20%20%20%20%0A%23Federated%20Query%20-%3E%20Wikidata%0A%20%20%20%20%20%20SERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%20%20%20%20%20%20%20%3FWikidataEntity%20wdt%3AP737%2Fwdt%3AP737%20%3Finfluencedby.%0A%20%20%20%20%20%20%20%20%20%23%20%3Finfluencedby%20widt%3AP734%20%3Fname.%20%20%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20OPTIONAL%20%7B%20%20%3Finfluencedby%20wdt%3AP18%20%3Fimage.%7D%0A%20%20%20%20%20%20%7D%20%20%20%20%20%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%0A%20%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%0A%20%20%20%20%20%20%20%20%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%0A%20%20%20%20%20%20%7D%0A%7D" target="_blank" rel="noopener">Influence networks of authors via ‘federated query’</a></u></li> </ul>
BOCK: Biological networks and Oligogenic Combinations as a Knowledge graph 2.0
<p>BOCK is a knowledge graph integrating oligogenic disease information (originally from the Oligogenic Disease Database (Natchtegael et al. 2022)) together with multiple biological networks and ontologies.</p> <p>Compared to more generic knowledge graphs, we selected specifically networks relevant to understand the molecular mechanisms of epistasis, placing genes as the central entities, and focused on trusted resources describing a large set of human genes and their interactions.</p> <p>All entities in the KG are linked to their source database entry via an URI (Uniform Resource Identifier) to facilitate integrations within larger bioinformatics linked data repositories.</p> <p>BOCK 2.0 integrates recent versions of the used ontologies and databases, as well as additional pathway-specific (The Reactome Pathway Knowledgebase 2024, Milacic et al.) and tissue-specific information (COXPRESdb v8, Obayashi et al.). Additionally the database used for the coexpression relation between genes, has been replaced by COXPRESdb v8.</p> <p>We provide BOCK 2.0 in three formats:</p> <ol> <li><strong>GraphML (Graph Markup Language)</strong>: a network format enabling the fast import of the KG by multiple libraries (e.g networkx) and tools (e.g Cytoscape).</li> <li><strong>XML (Extensible Markup</strong> <strong>Language)</strong>: a text-encoding system that is human-readable and compatible with many systems.</li> <li><strong>Neo4J import files</strong>: tab-separated files that can be easily imported into Neo4J using the neo4j-admin utils.</li> </ol>
Gazetteer_HTO: A Knowledge Graph for representing the Gazetteers of Scotland (1803-1901) following Heritage Textual Ontology
<p>This Knowlege Graph represents the information of the "Gazeteers of Scotland<strong>"</strong> (years: 1803 - 1901) collection in RDF (ttl format). This collection comprises twenty volumes of the most popular descriptive gazetteers of Scotland in the 19th century. Principal places in Scotland, including towns, counties, castles, glens, antiquities and parishes, are listed alphabetically. Each entry includes detailed historical and geographical information about each place. The raw dataset is provided by the NLS in this <a href="https://data.nls.uk/data/digitised-collections/gazetteers-of-scotland/">link</a>. As other NLS data collections, they are originally provided using two XMLs schemas: METS for descriptive, structural, technical and administrative metadata (Title, Author, Publisher, etc); and ALTO for encoding the OCR text of a page.</p> <p>In this work, we have extracted the information from METS and ALTO XMLS using <a href="https://github.com/francesNLP/defoe">defoe</a> tool. The KG uses the <a href="https://w3id.org/hto">HTO</a> to represent the information extracted. Furthermore, during the information extraction phase, we have employed several techniques to mitigate two common OCR errors: long-S and the line-break hyphenation.</p>
Chapbooks_HTO: A Knowledge Graph for representing the "Chapbooks Printed In Scotland" (1671 - 1893) following the Heritage Textual Ontology
<p>This Knowlege Graph represents the information of the "<strong>Chapbooks Printed In Scotland"</strong> (years: 1671 - 1893) collection in RDF (ttl format). This dataset comprises more than 3,000 chapbooks printed in Scotland from the 17th to 19th century. They form part of the Lauriston Castle Collection, which was bequeathed to the Library in 1926. It includes some 500 chapbook volumes containing around 5,500 individual items, more than half of which were printed in Scotland. The raw dataset is provided by the NLS in this <a href="https://data.nls.uk/data/digitised-collections/chapbooks-printed-in-scotland/">link</a>. As other NLS data collections, they are originally provided using two XMLs schemas: METS for descriptive, structural, technical and administrative metadata (Title, Author, Publisher, etc); and ALTO for encoding the OCR text of a page.</p> <p> The KG uses the <a href="https://w3id.org/hto">HTO</a> to represent the information extracted. Furthermore, during the information extraction phase, we have employed several techniques to mitigate two common OCR errors: long-S and the line-break hyphenation.</p>
Object Detection meets Knowledge Graphs Raw Data
<p>Raw data used to reproduce the results of 'Object Detection meets Knowledge Graphs'. Combination of VOC 2007 images, MS COCO 2014 images and ConceptNet knowledge graph. Also the checkpoints of the two trained models for the VOC dataset and COCO dataset.</p>
Wikidata5m - knowledge graph (inductive)
<p>Wikidata5m is a million-scale knowledge graph dataset with aligned corpus.This dataset integrates the <a href="https://www.wikidata.org/">Wikidata</a> knowledge graph and <a href="https://www.wikipedia.org/">Wikipedia</a> pages. Each entity in Wikidata5m is described by a corresponding Wikipedia page, which enables the evaluation of link prediction over unseen entities.</p> <p>This file contains the inductive split of Wikidata5m knowledge graph.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.