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Darwin Core RDF guide Title Darwin Core RDF guide Date version issued 2021-07-15 Date created 2015-03-27 Part of TDWG Standard http://www.tdwg.org/standards/450 This version http://rs.tdwg.org/dwc/terms/guides/rdf/2021-07-15 Latest version http://rs.tdwg.org/dwc/terms/guides/rdf/ Previous version http://rs.tdwg.org/dwc/terms/guides/rdf/2016-04-25 Abstract This guide is intended to facilitate the u
In a previous post, I've shown that the XALAN XSLT engine can be extended with custom function returning a DOM Document that will be used by the xslt-stylesheet. Here, I'll create an extension for XALAN getting some RDF statements from a Jena/RDF model. The RDF model will be loaded in memory but one can imagine to use a persistent model ( TDB or SDB). I'll download a record from NCBI-gene, transfo
Mapping relational databases to RDF is a fundamental problem for the development of the Semantic Web. We present a solution, inspired by draft methods defined by the W3C where relational databases are directly mapped to RDF and OWL. Given a relational database schema and its integrity constraints, this direct mapping produces an OWL ontology, which, provides the basis for generating RDF instances.
WebPIE (Web-scale Parallel Inference Engine) is a MapReduce distributed RDFS/OWL inference engine written using the Hadoop framework. This engine applies the RDFS and OWL ter Horst rules and it materializes all the derived statements. WebPIE encodes Semantic Web reasoning as a set of Map and Reduce operations, tapping on the power of the MapReduce programming model for performance, fault-tolerance
VMF matrix The VMF matrix is a tool which can be used to automatically compute the "best fit" mappings between terms in controlled vocabularies in difference metadata schemes and messages of interest to the educational, bibliographic and content publishing sectors. The current, "alpha" release of the VMF matrix is available as a single ontology in RDF triples in the TTL format. Two versions are av
Conversational Data for the Enterprise Change your relationship with enterprise data: ask any question and get an accurate, trusted, and timely answer immediately. Streamline data analytics With ready access to the richest flexible semantic layer, explainable AI, and reusable data modeling, data engineers and scientists can be 95% more productive — create and expand semantic data models, understa
メタデータの相互運用性の高度化を目的として、メタデータに関する規則の ”共有”と”再利用”を促進するメタデータ情報基盤です。 共有する MetaBridgeでは、さまざまな機関・業界で利用されているメタデータの記述に関する情報を、蓄積、管理、公開しています。データは、W3C標準規格に基づく機械可読可能な形式で提供し、インターネット上でのメタデータ規則の共有、再利用が簡単です。
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