Time Ontology in OWL
Time Ontology in OWL W3C Candidate Recommendation Draft 15 November 2022 More details about this document This version: https://www.w3.org/TR/2022/CRD-owl-time-20221115/ Latest published version: https://www.w3.org/TR/owl-time/ Latest editor's draft:https://w3c.github.io/sdw/time/ History: https://www.w3.org/standards/history/owl-time Commit history Implementation report: https://www.w3.org/2015/s
Building a semantic graph in Neo4j
There are two key characteristics of RDF stores (aka triple stores): the first and by far the most relevant is that they represent, store and query data as a graph. The second is that they are semantic, which is a rather pompous way of saying that they can store not only data but also explicit descriptions of the meaning of that data. The RDF and linked data community often refer to these explicit
Fashionpedia
Fashionpedia Fashionpedia is a dataset which consists of two parts: (1) an ontology built by fashion experts containing 27 main apparel categories, 19 apparel parts, 294 fine-grained attributes and their relationships; (2) a dataset with 48k everyday and celebrity event fashion images annotated with segmentation masks and their associated per-mask fine-grained attributes, built upon the Fashionped
Building a knowledge graph with topic networks in Amazon Neptune | Amazon Web Services
AWS Database Blog Building a knowledge graph with topic networks in Amazon Neptune This is a guest blog post by By Edward Brown, Head of AI Projects, Eduardo Piairo, Architect, Marcia Oliveira, Lead Data Scientist, and Jack Hampson, CEO at Deeper Insights. We originally developed our Amazon Neptune-based knowledge graph to extract knowledge from a large textual dataset using high-level semantic qu
An Introduction to Knowledge Graphs
Knowledge Graphs (KGs) have emerged as a compelling abstraction for organizing the world’s structured knowledge, and as a way to integrate information extracted from multiple data sources. Knowledge graphs have started to play a central role in representing the information extracted using natural language processing and computer vision. Domain knowledge expressed in KGs is being input into machine
SPAR Ontologies - Home
Describing The SPAR Ontologies are a set of modular OWL 2 DL ontologies for for describing all the main aspects of publishing domain More details Using Use the SPAR Ontologies for creating and publishing machine-readable RDF metadata concerning the publishing domain See examples Referencing Discover what is the more appropriate paper to cite for referring to a particular SPAR Ontology Citing SPAR
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Ontology Modeling with SHACL: Getting Started
CODA: Computer Aided Ontology Development
Semantic Web for the Working Ontologist
Ontologies in Neo4j: Semantics and Knowledge Graphs - Graph Database & Analytics
Why I Use SHACL For Defining Ontology Models — TopQuadrant, Inc
Why I Don't Use OWL Anymore — TopQuadrant, Inc
GitHub - owlcs/ont-api: ONT-API (OWL-API over Apache Jena)
GitHub - owlcs/owlapi: OWL API main repository
SPAR Ontologies community guidelines
The Error Ontology
SPAR Ontologies - DoCO
https://databus.dbpedia.org/ontologies/purl.org/co
The SPAR Ontologies
PAV ontology: provenance, authoring and versioning - Journal of Biomedical Semantics