SIOC Post profile for "AI3:::Adaptive Information"
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primary topic: 99 Wikipedia Sources Aiding the Semantic Web
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99 Wikipedia Sources Aiding the Semantic Web
type: Post
has container: weblog
has creator: Mike Bergman
maker: Mike Bergman
created: 2008-02-18T17:46:43Z
content: Most Comprehensive Reference List Available Shows Impressive Depth, BreadthSince about 2005 -- and at an accelerating pace -- Wikipedia has emerged as the leading online knowledge base for conducting semantic Web and related research. The system is being tapped for both data and structure. Wikipedia has arguably replaced WordNet as the leading lexicon for concepts and relations. Because of its scope and popularity, many argue that Wikipedia is emerging as the de facto structure for classifying and organizing knowledge in the 21st century.Our work on the UMBEL lightweight reference subject concept structure has stated since the project's announcement in July 2007 that Wikipedia is a key intended resource for identifying subject concepts and entities. For the past few months I have been scouring the globe attempting to find every drop of research I could find on the use of Wikipedia for semantic Web, information extraction, categorization and related issues.Thus, I'm pleased to offer up herein the most comprehensive such listing available anywhere: more than 99 resources and counting! (I say "more than" because some entries below have multiple resources; I just liked the sound of 99 as a round number!)Wikipedia itself maintains a listing of academic studies using Wikipedia as a resource; fewer than one-third of the listings below are on that list (which itself may be an indication of the current state of completeness within Wikipedia). Some bloggers and other sources around the Web also maintain listings in lesser degrees of completeness.It is well documented the tremendous growth of content and topics within Wikipedia (see, as examples, the W1, W2, W3, W4, W5, W6 and W7 internal Wikipedia sources for gory details), with as of early 2008 about 2.25 million articles in English and versions in 256 languages and variants.Download access to the full knowledge base has enabled the development of notable core references to the Linked Data aspects of the semantic Web such as…
encoded: Most Comprehensive Reference List Available Shows Impressive Depth, Breadth Since about 2005 — and at an accelerating pace — Wikipedia has emerged as the leading online knowledge base for conducting semantic Web and related research. The system is being tapped for both data and structure. Wikipedia has arguably replaced WordNet as the leading lexicon for concepts and relations. Because of its scope and popularity, many argue that Wikipedia is emerging as the de facto structure for classifying and organizing knowledge in the 21st century. Our work on the UMBEL lightweight reference subject concept structure has stated since the project’s announcement in July 2007 that Wikipedia is a key intended resource for identifying subject concepts and entities. For the past few months I have been scouring the globe attempting to find every drop of research I could find on the use of Wikipedia for semantic Web, information extraction, categorization and related issues. Thus, I’m pleased to offer up herein the most comprehensive such listing available anywhere: more than 99 resources and counting! (I say “more than” because some entries below have multiple resources; I just liked the sound of 99 as a round number!) Wikipedia itself maintains a listing of academic studies using Wikipedia as a resource; fewer than one-third of the listings below are on that list (which itself may be an indication of the current state of completeness within Wikipedia). Some bloggers and other sources around the Web also maintain listings in lesser degrees of completeness. It is well documented the tremendous growth of content and topics within Wikipedia (see, as examples, the W1, W2, W3, W4, W5, W6 and W7 internal Wikipedia sources for gory details), with as of early 2008 about 2.25 million articles in English and versions in 256 languages and variants. Download access to the full knowledge base has enabled the development of notable core references to the Linked Data aspects of the semantic Web suc…
topic: Adaptive Information
topic: Open Source
topic: Semantic Web
topic: Semantic Web Tools
topic: Structured Web
topic: UMBEL
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links to: sw
links to: Wikipedia
links to: WordNet
links to: UMBEL
links to: project's announcement
links to: listing of academic studies
links to: W1
links to: W2
links to: W3
links to: W4
links to: W5
links to: W6
links to: W7
links to: Download access
links to: Linked Data
links to: DBpedia
links to: YAGO
links to: eacl2006-similarsentences.pdf
links to: wi2007.pdf
links to: linkkdd05-13.pdf
links to: Using Wikipedia at the TREC QA Track
links to: ISWC2007 IU Auer.pdf
links to: eswc07-auer.pdf
links to: http://portal.acm.org/citation.cfm
links to: wikimania bellomi bonato.pdf
links to: SiKDD2007ExtractingWikipedia.pdf
links to: Using Encyclopedic Knowledge for Named Entity Disambiguation
links to: thesis-white.pdf
links to: Temporal Analysis of the Wikigraph
links to: BuscaldiRosso GIR07.pdf
links to: awic05.pdf
links to: From Wikipedia to Semantic Relationships: a Semi-automated Annotation Approach
links to: dke07.pdf
links to: Extracting Semantic Relationships between Wikipedia Categories
links to: culotta06integrating.pdf
links to: D07-1074.pdf
links to: np-ijcnlp08.pdf
links to: wikinet.stern.nyu.edu
links to: 9.pdf
links to: EachWiki
links to: ISWC2007 RT Fu.pdf
links to: Overcoming the Brittleness Bottleneck using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge
links to: Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis
links to: phd-thesis.pdf
links to: http://www.researchchannel.org/prog/displayevent.aspx
links to: WikiPrep
links to: W06-1710.pdf
links to: 06 1028.pdf
links to: 20050805a.pdf
links to: SemWiki2006-Harvesting Wiki Consensus-LNCS-final.pdf
links to: hepp-siorpaes-bachlechner-harvesting wikipedia w5054.pdf
links to: harvesting-wikipedia
links to: 12.pdf
links to: P07-2.pdf

Mike Bergman
type: User

Mike Bergman
type: Person

listing of academic studies
label: http://en.wikipedia.org/wiki/Wikipedia:Wikipedia_in_academic_studies.

Download access
label: http://download.wikimedia.org.

YAGO
label: http://www.mpi-inf.mpg.de/~suchanek/downloads/yago/

Computing Semantic Relatedness using Wikipedia Link Structure

Mining Domain-Specific Thesauri from Wikipedia: A Case Study

A Knowledge-Based Search Engine Powered by Wikipedia

Relation Extraction from Wikipedia Using Subtree Mining

Deriving a Large Scale Taxonomy from Wikipedia

Knowledge Derived From Wikipedia For Computing Semantic Relatedness

Part I

Part II

References

YAWN: A Semantically Annotated Wikipedia XML Corpus

WikiRelate! Computing Semantic Relatedness Using Wikipedia

Yago – A Core of Semantic Knowledge

Utilizing Wikipedia Categories for Document Classification

Semantic Web

RDF

RDF Schema

OWL

SPARQL

GRDDL

W3C

ontologies

controlled vocabularies

FOAF

SKOS

SIOC

Dublin Core

description logic

FOL

Autonomously Semantifying Wikipedia

Analyzing and Accessing Wikipedia as a Lexical Semantic Resource

technical report

Analysis of the Wikipedia Category Graph for NLP Applications