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483 results for “SEMANTICS”
Figure 14 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 14 Gryonoides mexicali Masner & Mikó, sp. nov. A habitus of female, dorsal view (CNCHymen_132006) B head and proximal antenna of male anteroventral view C habitus of female, lateral view (CNCHymen_132006) D head, anterior view (CNCHymen_132026).
Figure 25 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 25 Distribution of Gryonoides fuscoclavatus Masner & Mikó, sp. nov. and Gryonoides flaviclavatus Masner & Mikó, sp. nov.
Figure 23 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 23 Gryonoides mirabilicornis Masner & Mikó, sp. nov. A head, anterior view B head and mesosoma, lateral view.
Figure 17 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 17 Gryonoides obtusus Masner & Mikó, sp. nov. A male antenna B female antenna, lateral view (CNCHymen_132957) C head, anterior view (CNCHymen_132957).
Figure 20 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 20 Gryonoides rugosus Masner & Mikó, sp. nov. A head, anterior view, female B mesosoma, posterior view, female (CNCHymen_132851), arrow pointing anterior propodeal pit C metasoma, dorsal view, female (CNCHymen_132851) D habitus, female, lateral view (CNCHymen_132851) E habitus, male, dorsal view (CNCHYmen_132687) F habitus, female, dorsal view (CNCHymen_132851).
Figure 19 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 19 Gryonoides pulchellus var. pulchricornis Dodd, 1920, female (CNCHymen_132681) A habitus, dorsal vies B head, anterior view C habitus, lateral view.
Figure 2 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 2 Ovipositor assembly of Gryonoides Dodd, 1920 AGryonoides glabriceps, T7+8, (CNCHymen_132935) BGryonoides pulchellus var. doddi Dodd, 1920, ovipositor assembly, (CNCHymen_132961). Sclerotised and resilin rich bridge is present in the ovipositor assembly of Gryonoides (crc = cercus, pac = proximal projections on cercal plate, la = lateral apodemes).
Figure 13 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 13 Gryonoides mexicali Masner & Mikó, sp. nov., female A habitus, lateral view B head and mesosoma, dorsal view C head and mesosoma, lateral view D metasoma, dorsal view E head, anterior view F mesosoma, posterior view (CNCHymen_132003), arrow pointing to anterior propodeal pit.
Figure 12 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 12 Gryonoides glabriceps Dodd, 1920 A antenna, male (CNCHymen_131929) B head, anterior view, female (CNCHymen_131948) C head, mesosoma, lateral view, female (CNCHymen_131948) D head, mesosoma, dorsal view, male (CNCHymen_131959).
Figure 16 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 16 Gryonides obtusus Masner & Mikó, sp. nov., female ((CNCHymen_132957) A habitus, dorsal view B habitus, lateral view.
Figure 18 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 18 Gryonoides sp. AGryonoides obtusus Masner & Mikó, sp. nov., mesosoma, posterolateral view (CNCHymen_132942) B male antenna of unidentified specimen of the Gryonoides pulchellus group (CNCHymen_132878) CGryonoides pulchellus Dodd, 1920, female, habitus, dorsal view (CNCHymen_132834).
Figure 10 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 10 Gryonoides glabriceps Dodd, 1920, habitus A female, dorsal view (CNCHymen_132135) B male, dorsal view (CNCHymen_132133) C male, lateral view (CNCHymen_132133).
Figure 1 from: Mikó I, Masner L, Ulmer JM, Raymond M, Hobbie J, Tarasov S, Margaría CB, Seltmann KC, Talamas EJ (2021) A semantically enriched taxonomic revision of Gryonoides Dodd, 1920 (Hymenoptera, Scelionidae), with a review of the hosts of Teleasinae. In: Lahey Z, Talamas E (Eds) Advances in the Systematics of Platygastroidea III. Journal of Hymenoptera Research 87: 523-573. https://doi.org/10.3897/jhr.87.72931
Figure 1 GryonoidesDodd 1920, habitus AGryonoides pulchellus var. pulchellus Dodd, 1920, female, lateral view (CNCHymen_132834) BGryonoides glabriceps Dodd, 1920, male, dorsal view (CNCHymen_132133).
Semantics Conflicts for Edge (JSON)
<p>Semantics Conflicts for Edge (JSON)</p>
Dataset - Clustering Semantic Predicates in the Open Research Knowledge Graph
<p>This dataset has been created for implementing a content-based recommender system in the context of the Open Research Knowledge Graph (ORKG). The recommender system accepts research paper's title and abstracts as input and recommends existing predicates in the ORKG semantically relevant to the given paper.</p> <p> </p> <p>The paper instances in the dataset are grouped by ORKG comparisons and therefore the <strong><em>data.json</em></strong> file is more comprehensive than <strong><em>training_set.json</em></strong> and <strong><em>test_set.json.</em></strong></p> <p> </p> <p><strong><em>data.json</em></strong></p> <p>The main JSON object consists of a list of comparisons. Each comparisons object has an ID, label, list of papers and list of predicates, whereas each paper object has ID, label, DOI, research field, research problems and abstract. Each predicate object has an ID and a label. See an example instance below.</p> <pre><code class="language-json">{ "comparisons": [ { "id": "R108331", "label": "Analysis of approaches based on required elements in way of modeling", "papers": [ { "id": "R108312", "label": "Rapid knowledge work visualization for organizations", "doi": "10.1108/13673270710762747", "research_field": { "id": "R134", "label": "Computer and Systems Architecture" }, "research_problems": [ { "id": "R108294", "label": "Enterprise engineering" } ], "abstract": "Purpose \u2013 The purpose of this contribution is to motivate a new, rapid approach to modeling knowledge work in organizational settings and to introduce a software tool that demonstrates the viability of the envisioned concept.Design/methodology/approach \u2013 Based on existing modeling structures, the KnowFlow toolset that aids knowledge analysts in rapidly conducting interviews and in conducting multi\u2010perspective analysis of organizational knowledge work is introduced.Findings \u2013 This article demonstrates how rapid knowledge work visualization can be conducted largely without human modelers by developing an interview structure that allows for self\u2010service interviews. Two application scenarios illustrate the pressing need for and the potentials of rapid knowledge work visualizations in organizational settings.Research limitations/implications \u2013 The efforts necessary for traditional modeling approaches in the area of knowledge management are often prohibitive. This contribution argues that future research needs ..." }, .... ], "predicates": [ { "id": "P37126", "label": "activities, behaviours, means [for knowledge development and/or for knowledge conveyance and transformation" }, { "id": "P36081", "label": "approach name" }, .... ] }, .... ] }</code></pre> <p> </p> <p><strong><em>training_set.json </em></strong>and<strong><em> test_set.json</em></strong></p> <p>The main JSON object consists of a list of training/test instances. Each instance has an instance_id with the format (comparison_id X paper_id) and a text. The text is a concatenation of the paper's label (title) and abstract. See an example instance below.</p> <p>Note that test instances are not duplicated and do not occur in the training set. Training instances are also not duplicated, BUT training papers can be duplicated in a concatenation with different comparisons.</p> <pre><code class="language-json">{ "instances": [ { "instance_id": "R108331xR108301", "comparison_id": "R108331", "paper_id": "R108301", "text": "A notation for Knowledge-Intensive Processes Business process modeling has become essential for managing organizational knowledge artifacts. However, this is not an easy task, especially when it comes to the so-called Knowledge-Intensive Processes (KIPs). A KIP comprises activities based on acquisition, sharing, storage, and (re)use of knowledge, as well as collaboration among participants, so that the amount of value added to the organization depends on process agents' knowledge. The previously developed Knowledge Intensive Process Ontology (KIPO) structures all the concepts (and relationships among them) to make a KIP explicit. Nevertheless, KIPO does not include a graphical notation, which is crucial for KIP stakeholders to reach a common understanding about it. This paper proposes the Knowledge Intensive Process Notation (KIPN), a notation for building knowledge-intensive processes graphical models." }, ... ] }</code></pre> <p> </p> <p><strong>Dataset Statistics:</strong></p> <table align="center"> <thead> <tr> <th scope="col">-</th> <th scope="col">Papers</th> <th scope="col">Predicates</th> <th scope="col">Research Fields</th> <th scope="col">Research Problems</th> </tr> </thead> <tbody> <tr> <td>Min/Comparison</td> <td>2</td> <td>2</td> <td>1</td> <td>0</td> </tr> <tr> <td>Max/Comparison</td> <td>202</td> <td>112</td> <td>5</td> <td>23</td> </tr> <tr> <td>Avg./Comparison</td> <td>21,54</td> <td>12,79</td> <td>1,20</td> <td>1,09</td> </tr> <tr> <td>Total</td> <td>4060</td> <td>1816</td> <td>46</td> <td>178</td> </tr> </tbody> </table> <p><strong>Dataset Splits:</strong></p> <table align="center"> <thead> <tr> <th scope="col">-</th> <th scope="col">Papers</th> <th scope="col">Comparisons</th> </tr> </thead> <tbody> <tr> <td>Training Set</td> <td>2857</td> <td>214</td> </tr> <tr> <td>Test Set</td> <td>1203</td> <td>180</td> </tr> </tbody> </table> <p> </p>
Open Science materials of the paper "Automatically Recognizing the Semantic Elements from UML Class Diagram Images"
<p>This submission contains such files:</p> <p>1. "questionnaire.docx": The questionnaire for the survey. The file contains all the questions and answers.<br> 2. "raw data collected from participants.xlsx": The raw data collected from participants. Each row in the file represents a participant's answers to all questions, including the date, source, IP, and answers.<br> 3. "raw data collected from open-source community.xlsx": The raw data collected from open-source community (the UML diagram usage). It contains the repositories and GitHub URLs, the UML diagrams and the corresponding links, and some statistics about the UML diagram usage.<br> 4. "an implementation of ReSECDI.zip", "utility source code.zip", "utility compiled JAR.zip", and ".m2.zip": An implementation of ReSECDI, and its dependencies. The implementation is in Java, and it requires JDK11 or higher. It depends on a project named "utility", in addition to other dependencies. The source code of "utility" is provided in "utility source code.zip", the compiled JAR file is in "utility compiled JAR.zip", and the maven dependency files are provided in ".m2.zip". The ways to add the "utility" to the implementation's dependencies are explained in the "readme.txt".<br> 5. "instructions for how to use the artifacts.docx": The instructions for how to use the implementation of ReSECDI. It mainly explains the key components of the implementation, and how to set the parameters.<br> 6. "diagrams used for its evaluation.zip": The diagrams used for the evaluation. There are 50 diagrams collected from the open-source community. Each diagram's name represents its belonging repository.<br> 7. "raw data collected during the evaluation.xlsx": The raw data collected during the evaluation. It contains the statistics of the classes and relationships for each diagram, and the recognition results.<br> 8. "Manuscript.pdf": The manuscript explaining our approach.<br> 9. "readme.txt": The readme file explaining details about each file.</p>
RailVID: A Dataset for Rail Environment Semantic
<p>At present, rail transit is becoming the main means of urban and intercity fast passenger and freight transportation. Its safe operation is of great significance to protect the life of people, security of property and maintain social stability. Though the degree of intelligent traffic has been improved , there are still many safety risks in the current system by using manual hazard monitoring in the railway. Limited by the particularity and complexity of railway scenes, there are few studies on the perception and understanding of rail transit environment. In this paper, we propose a new rail transit dataset – RailVID. We use the AT615X Infrared thermography from InfiRay to collect data and record different railway scenarios, including carport, depot, and straight. We then propose an improved BiSeNet realtime semantic segmentation network for evaluation. Based on this dataset, we carry out environment perception, environment understanding, and safety decisions on the track area in front of the train, and we propose a solution for fully automatic train operation of rail transit.The dataset we provide compensates for the infrared data that is not in the existing dataset, and our data covers special weather and various conditions. Experiments show that our method achieves a higher Mean Pixel Accuracy in the collected dataset, and the processing speed also meets the real-time requirement.</p>
EIAH data model: semantic interoperability between distributed digital repositories
<p>The authors described their information architecture project aimed at improving access to the Encyclopaedia of Iranian architectural history (EIAH) by signalling relationships between concepts and between concepts and documents. The outcome will be presented in a semantic portal or might be used for complex search queries by end users.</p>
Semantic targeting: past, present and future
<p>Keynote address day one of the ISKO UK <a href="https://www.iskouk.org/2009-Conference">2009 biennale conference </a>.</p> <p>This keynote address looked at the evolution of the linguistic approach to content analysis which Crystal has been developing over the past twenty years. It begins with the knowledge management taxonomy used for the Cambridge family of general encyclopedias, and follows its transformation into an Internet taxonomy, with applications in automatic document classification, search engine assistance, e-commerce, online advertising, and<br> Internet security. Recent developments have brought a focus on advertising, a field which has seen ideas develop from simple keyword analysis to contextual advertising and now to semantic targeting.<br> David Crystal explores the difference between these notions, and describes current issues in the way semantic targeting is evolving, including ways of handling site sensitivity, sentiment, intention, and cultural localization.</p> <p> </p>
Semantic metadata annotation: tagging medline abstracts for enhanced information access
<p>The object of this study is to develop methods for automatically annotating the argumentative role of sentences in scientific abstracts. Working from Medline abstracts, we classified sentences into four major argumentative roles: objective, method, result, conclusion. The idea is that if the role of each sentence can be marked up, then this metadata can be used during information retrieval to seek for particular types of information such as novelty, conclusions, methodologies, aims/goals of a scientific piece of work.</p> <p> </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.