This page summarizes the relationships among specifications, whether they are finished standards or drafts. Below, each title
links to the most recent version of a document.
For related introductory information, see: Vertical Applications.
Completed Work
W3C Recommendations have
been reviewed by W3C Members, by software developers, and by other
W3C groups and interested parties, and are endorsed by the
Director as Web Standards. Learn more about the W3C Recommendation
Track.
Group Notes are not standards and do not
have the same level of W3C endorsement.
Group Notes
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2011-10-20
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The Ontology of Rhetorical Blocks is a formalization capturing the coarse-grained rhetorical structure of scientific publications. This note is designed to provide a general overview of the motivation and use-cases supporting ORB, in addition to the actual conceptual elements, as well as, practical examples of how to use it in conjunction with different representation languages.
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2009-10-20
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This is a sample short description for this specification;
over time we will replace this description with a real one.
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2009-10-20
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This is a sample short description for this specification;
over time we will replace this description with a real one.
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2009-10-20
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This is a sample short description for this specification;
over time we will replace this description with a real one.
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2008-06-04
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One of the challenges facing Semantic Web for Health Care and Life
Sciences is that of converting relational databases into Semantic Web format.
The issues and the steps involved in such a conversion have not been well
documented. To this end, we have created this document to describe the
process of converting SenseLab databases into OWL. SenseLab is a collection
of relational (Oracle) databases for neuroscientific research. The conversion
of these databases into RDF/OWL format is an important step towards realizing
the benefits of Semantic Web in integrative neuroscience research. This
document describes how we represented some of the SenseLab databases in
Resource Description Framework (RDF) and Web Ontology Language (OWL), and
discusses the advantages and disadvantages of these representations. Our OWL
representation is based on the reuse and extension of existing standard OWL
ontologies developed in the biomedical ontology communities. The purpose of
this document is to share our implementation experience with the
community.
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2008-06-04
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The prototype we describe is a biomedical knowledge base, constructed for a demonstration at Banff WWW2007 , that integrates 15 distinct data sources using currently available Semantic Web technologies such as the W3C standard Web Ontology Language [OWL] and Resource Description Framework [RDF]. This report outlines which resources were integrated, how the knowledge base was constructed using free and open source triple store technology, how it can be queried using the W3C Recommended RDF query language SPARQL [SPARQL], and what resources and inferences are involved in answering complex queries. While the utility of the knowledge base is illustrated by identifying a set of genes involved in Alzheimer's Disease, the approach described here can be applied to any use case that integrates data from multiple domains.
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W3C
