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Buzzword.org.uk Draft: RDF Extracted Attributes from Styled Elements
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RDF Extracted Attributes from Styled Elements (RDF-EASE)
Eyeball
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Eyeball is a Jena contrib for checking RDF models (including OWL) for
common problems. It is user-extensible using plugins.
rdfQuery: Progressive Enhancement with RDFa | Jeni's Musings
Earlier this week I presented at SWIG-UK about rdfQuery. rdfQuery is a set of plugins that I’ve developed for jQuery in order to support RDFa parsing, querying and generation. There are a bunch of other Javascript libraries for RDFa around, such as Mark Birbeck’s Ubiquity RDFa and Ben Adida’s RDFa library. What I’ve really tried to do with rdfQuery is tie it in with the “Write Less, Do More” philosophy of jQuery and provide a neat, elegant API. At least that’s the aim!
So what does it do? Well, I’ve just added the demo that I used on Tuesday into the repository, so if you grab hold of that you can take a look.
"duri" and "tdb" URN namespaces based on dated URIs
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This document defines two namespaces of URNs, based on using a
timestamp with an (encoded) URI. The results are namespaces in which names
are readily assigned, offer the persistence of reference that is
required by URNs, but do not require a stable authority to assign
the name. The first namespace ("duri") is used to refer to
URI-identified resources as they appeared at a particular time. The
second namespace ("tdb") is useful as a way of creating URNs that
refer to physical objects or even abstractions that are not
themselves networked resources.
The definition of these namespaces may reduce the need to define new
URN namespaces merely for the purpose of creating stable
identifiers.
RDFWeb and Friend of a Friend (FOAF): Identifying things in FOAF
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There is growing interest in FOAF and its relationship to various approaches to "identity management" on the Internet. The FOAF approach to all this is distinctly pluralistic, to the extent that you might not even notice that there is a FOAF way of dealing with identity. There aren't, for example, 'FOAF identifiers' as such, although there is certainly a FOAF approach to identifying things. So this is a first cut at writing up some of the as-yet-unarticulated design assumptions behind FOAF. A more user-friendly version would have examples, those will have to come later.
RDF Vocabulary Description Language 1.0: RDF Schema
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This specification describes how to use
RDF to describe RDF vocabularies. This specification defines a vocabulary for
this purpose and defines other built-in RDF vocabulary initially specified in
the RDF Model and Syntax Specification.
Exhibit - SIMILE
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Exhibit enables web site authors to create dynamic exhibits of their collections without resorting to complex database and server-side technologies. The collections can be searched and browsed using faceted browsing. Assorted views are provided including tiles, maps, etc.
Where to Find Open Data on the Web - ReadWriteWeb
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A lot of data sources are already freely available on the net, as it turns out, if you just know where to look. Here's a summary,
alphaWorks : Scalable Highly Expressive Reasoner : Overview
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Scalable Highly Expressive Reasoner
A technology that provides ontology analytics (OWL-DL without nominals) over highly expressive ontologies.
index [MOAT]
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MOAT (Meaning Of A Tag) provides a Semantic Web framework to publish semantically-annotated content from free-tagging.
OWL restrictions
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This document is intended for people starting to use OWL, the W3C
Web Ontology language [OWL Overview] and
who are puzzled about how OWL constructs work, in particular OWL
restrictions. In the
course of this note we also discuss some basic ontology-engineering
principles.
The Linking Open Data dataset cloud
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This image shows some of the datasets published in the
Linking Open Data community project. Clicking any of the
datasets will take you to its project homepage.
Main Page - Neurocommons
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The Neurocommons project seeks to make all scientific research
materials - research articles, annotations, data, physical materials - as available and as useable as they can be.
We do this by both fostering practices that render information in a form that promotes uniform access by computational agents - sometimes called "interoperability". We want knowledge sources to combine meaningfully, enabling semantically precise queries that span multiple information sources.Our work covers general data and knowledge sources used in computational biology as well as sources
specific to neuroscience and neuromedicine.
The practices that we develop and promote are designed to play well on the Semantic Web. We view our technical work not as creating a new service or content library, although we do both, but rather as helping to promote the growth of semantically linked scientific information.
URI documentation protocol - Neurocommons
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How should one go about finding documentation that will explain what a URI names, in cases where this is needed and it is not already at hand? HTTP was not designed to help out here, so the following is not as elegant as would be a protocol designed with this in mind.
If you're doing bulk processing of URI documentation, you may be better off doing bulk downloads or SPARQL queries on an appropriate SPARQL endpoint, as large numbers of probes will be inefficient and will load servers, usually unnecessarily.
The following protocol is designed to be forgiving enough to grandfather many URIs already in use on the Semantic Web, such as those in the RDF Schema vocabulary and Dublin Core, while strict enough to support our URI requirements. It coincides with HTTP in the absence of overrides, responses containing a Location: header, and 200 responses.
OAI-PMH RDFizer - SIMILE
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This is an utility tool to convert the metadata contained in an OAI-PMH-capable
repository to RDF.
The Self-Describing Web
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The Web is designed to support flexible exploration of information by human users and by automated agents.
For such exploration to be productive,
information published by many different sources and for a variety of
purposes must be comprehensible to a wide range of Web client software.
HTTP and other Web technologies can be used to deploy resources that are
self-describing, in the sense that only widely available information is necessary for understanding them.
Starting with a URI, there is a standard algorithm that a user agent
can apply to retrieve and interpret a representation of such resources.
Furthermore, when such self-describing resources are linked together, the Web as a whole can support reliable,
ad hoc discovery of information.
This finding describes how document formats, markup conventions, attribute values, and other data formats can be designed to facilitate the deployment of self-describing Web content. -
The Web is designed to support flexible exploration of information, by human users and by automated agents.
For such exploration to be productive,
information published by many different sources and for a wide variety of
purposes must be comprehensible to a wide variety of Web client software.
This finding suggests that there are three strategies that, used in combination, can ensure
such flexible interoperability: 1) where practical, resource representations should be encoded using widely deployed standards; 2) where such widely deployed standards are not sufficient, the encodings used should themselves be described in machine readable form on the Web, using RDF, RDDL, or other standard description systems; and 3) in all cases, each representation should carry information such as media-types, character encoding labels, RDFa, links to specifications, etc. sufficient to support automatic determination of the standards and other specifications necessary for correct interpretation.
To the extent that these guidelines are observed, individual documents become self-describing, in the sense that only widely available information is necessary for understanding them.
Furthermore, when such documents are linked together, the Web as a whole can support reliable,
ad hoc discovery of information.
This finding discusses in more detail the techniques needed to create such a self-describing Web.
Practical-web-semantics - DBWiki
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A practical introduction to The Semantic Web and the technologies that enable web developers and bloggers to embed meaning, such as marking up people, places, events, music and locations, into websites. Areas covered will include Resource Description Framework (RDF) basics including CURIEs and N3 notation, implementation approaches such as Microformats and RDFa, and authoring tools such as Operator and Fuzzbot.
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