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29 results for “Semantic Web”
Figure 2 in Actionable, long-term stable and semantic web compatible identifiers for access to biological collection objects
Figure 2. Basic redirection mechanisms. Human users are redirected to a human-readable web-representation of the specimens. Software systems are re-directed to a machine-readable metadata record.
Figures - Semantic analysis of web archive historical data 1983 "Marche pour l'égalité et contre le racisme"
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Semantic Parameter Matching in Web APIs with Transformer-based Question Answering
<p>This repository contains the evaluation results of our study, as well as datasets and model checkpoints. <br> For a detailed overview regarding the provided materials, please refer to README.md.</p>
Graphical and Collaborative Annotation Support for Semantic Web Services
<p><strong>Graphical and Collaborative Annotation Support for Semantic Web Services presentation</strong></p>
Unprocessed data for the "Deriving Semantics-Aware Fuzzers from Web API Schemas" paper.
<p>Unprocessed data for the "Deriving Semantics-Aware Fuzzers from Web API Schemas" paper.</p>
Estimation on the Importance of Semantic Web Integration for Art and Culture Related Online Media Outlets
<p>This dataset includes the detailed measurements of all 3662 websites of Art and Culture related media outlets in search of the level of usage of semantic web technologies and contains information for each website and the plain data for the parameters used as key indicators of the semantic web integration level. The dataset is part of the core methodology and discussion sections of the research paper entitled "Estimation on the Importance of Semantic Web Integration for Art and Culture Related Online Media Outlets".</p>
Figure 1 in Actionable, long-term stable and semantic web compatible identifiers for access to biological collection objects
Figure 1. Example specimen. Example physical herbarium object and its stable HTTP URI identifier.
RESTBERTa: A Transformer-based Question Answering Approach for Semantic Search in Web API Documentation
<p>This repository contains the datasets and evaluation results of our study.<br> For a detailed overview regarding the provided materials, please refer to README.md.</p>
Ramakrishnan: Semantics on the Web
It is becoming increasingly clear that the next generation of web search and advertising will rely on a deeper understanding of user intent and task modeling, and a correspondingly richer interpretation of content on the web. How we get there, in particular, how we understand web content in richer terms than bags of words and links, is a wide open and fascinating question. I will discuss some of the options here, and look closely at the role that information extraction can play. **Speaker Bio** Raghu Ramakrishnan is Chief Scientist for Audience and Cloud Computing at Yahoo!, and is a Research Fellow, heading the Community Systems area in Yahoo! Research. He was Professor of Computer Sciences at the University of Wisconsin-Madison, and was founder and CTO of QUIQ, a company that pioneered question-answering communities, powering Ask Jeeves' AnswerPoint as well as customer-support for companies such as Compaq. His research has influenced query optimization in commercial database systems, and the design of window functions in SQL:1999. His paper on the Birch clustering algorithm received the SIGMOD 10-Year Test-of-Time award, and he has written the widely-used text "Database Management Systems" (with Johannes Gehrke). He is Chair of ACM SIGMOD, on the Board of Directors of ACM SIGKDD and the Board of Trustees of the VLDB Endowment, and has served as editor-in-chief of the Journal of Data Mining and Knowledge Discovery, associate editor of ACM Transactions on Database Systems, and the Database area editor of the Journal of Logic Programming. Ramakrishnan is a Fellow of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), and has received several awards, including a Distinguished Alumnus Award from IIT Madras, a Packard Foundation Fellowship in Science and Engineering, an NSF Presidential Young Investigator Award, and an ACM SIGMOD Contributions Award.
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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.