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Semantic Stability in Wikipedia [chapter]

Darko Stanisavljevic, Ilire Hasani-Mavriqi, Elisabeth Lex, Markus Strohmaier, Denis Helic
2016 Studies in Computational Intelligence  
In this paper we assess the semantic stability of Wikipedia by investigating the dynamics of Wikipedia articles' revisions over time.  ...  However, there are differences on the velocity of the semantic stability process between small and large Wikipedia editions.  ...  In order to assess the semantic stability of Wikipedia, we turn to semantic similarity of consecutive revisions of Wikipedia articles.  ... 
doi:10.1007/978-3-319-50901-3_31 fatcat:556y4z5ha5fnbaltyfvrn3427q

Semantic Convergence of Wikipedia Articles

Christopher Thomas, Amit P. Sheth
2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)  
In particular, this paper aims at identifying semantic convergence of Wikipedia articles; the notion that the content of an article stays stable regardless of continuing edits.  ...  Wikipedia is a well established service that incorporates aspects of these three fields of research.  ...  Our hypothesis is, analogous to the one of the Wikipedia community, that good articles need to be semantically stable. Ideally, we want to extract only true knowledge.  ... 
doi:10.1109/wi.2007.108 dblp:conf/webi/ThomasS07 fatcat:72c5jej6vzaj3j3xmm34fn2jf4

Wikipedia Arborification and Stratified Explicit Semantic Analysis [article]

Yannis Haralambous, Vitaly Klyuev
2012 arXiv   pre-print
We present an extension of the Explicit Semantic Analysis method by Gabrilovich and Markovitch. Using their semantic relatedness measure, we weight the Wikipedia categories graph.  ...  We define a notion of stratified tfidf where the stratas, for a given Wikipedia page and a given term, are the classical tfidf and categorical tfidfs of the term in the ancestor categories of the page  ...  Introduction Explicit Semantic Analysis Unlike semantic similarity measures, which are limited to ontological relations such as synonymy, hyponymy, meronymy, etc., semantic relatedness measures detect  ... 
arXiv:1201.6224v2 fatcat:f5tnjxnivbcb3julzpopjwrsny

Uncovering the Semantics of Wikipedia Pagelinks [chapter]

Valentina Presutti, Sergio Consoli, Andrea Giovanni Nuzzolese, Diego Reforgiato Recupero, Aldo Gangemi, Ines Bannour, Haïfa Zargayouna
2014 Lecture Notes in Computer Science  
Wikipedia pagelinks, i.e. links between Wikipages, carry an intended semantics: they indicate the existence of a factual relation between the DBpedia entity referenced to by the source Wikipage, and the  ...  We designed and implemented a novel method for uncovering the intended semantics of pagelinks, and represent them as semantic relations.  ...  Introduction Wikipedia proved to be an extremely valuable resource for the Semantic Web.  ... 
doi:10.1007/978-3-319-13704-9_32 fatcat:me7yb3exknes7dfqjxi63egcqa

Hypergraph-based Wikipedia search with semantics

G. Sudha Sadasivam, K.G. Saranya, K.G. Karrthik
2013 International Journal of Web Science  
This paper addresses the knowledge integration issue by computing semantic relatedness over a graph derived from Wikipedia by treating the articles as nodes and the links between the articles as the edges  ...  Wikipedia is a free, web-based encyclopaedia.  ...  This helps to maintain the semantic relatedness between the articles. Hypernyms are used to cluster the articles and thus represent the Wikipedia graph as a hyper graph.  ... 
doi:10.1504/ijws.2013.056576 fatcat:7jxwxcf2zfhbljombepeiiwpfy

Extracting Semantic Concept Relations from Wikipedia

Patrick Arnold, Erhard Rahm
2014 Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14) - WIMS '14  
Our approach uses a comprehensive set of semantic patterns, finite state machines and NLPtechniques to process Wikipedia definitions and to identify semantic relations between concepts.  ...  relations) from Wikipedia articles.  ...  Figure 1 : 1 Sample sentence containing two semantic relation patterns. Figure 2 : 2 Workflow to extract semantic relations from Wikipedia.  ... 
doi:10.1145/2611040.2611079 dblp:conf/wims/ArnoldR14 fatcat:fzh2v2gqerbfrg3wv7ivtuvzr4

Enacting Social Argumentative Machines in Semantic Wikipedia [article]

Adrian Groza, Sergiu Indrie
2013 arXiv   pre-print
The proposed framework allows mass-collaborative editing of structured arguments in the style of semantic wikipedia.  ...  The ARGNET system was developed based on ther Semantic MediaWiki framework and on the Argument Interchange Format (AIF) ontology.  ...  Wikipedia.  ... 
arXiv:1304.5554v1 fatcat:me4l3ajxlzgerlojozu5xq2eei

Semantic Data Extraction from Infobox Wikipedia Template

Amira AbdEl-atey, Sherif El-etriby, Arabi S. kishk
2012 International Journal of Computer Applications  
Keywords Wikipedia ; semantic web ; DBpedia; data extraction framework; structured knowledge; wikipedia templates; media wiki software; infobox template.  ...  DBpedia project focus on creating semantically enriched structured information of Wikipedia. In this article, we describe and clarify the DBpedia project.  ...  DBpedia concentrates in transforming all Wikipedia pages to semantic web pages. SMW concentrates in adding semantics to newer pages.  ... 
doi:10.5120/5072-7464 fatcat:oduwsuusune6fgvdi3xxwiqrdi

Semantic Content Filtering with Wikipedia and Ontologies [article]

Pekka Malo and Pyry Siitari and Oskar Ahlgren and Jyrki Wallenius and Pekka Korhonen
2010 arXiv   pre-print
semantic concept-similarities.  ...  As a potential remedy, recent studies on Wikipedia suggest that this large body of socially constructed knowledge can be effectively harnessed to provide not only facts but also accurate information about  ...  The second component, Wikipedia-based semantic rule, is described in Figure 2 .  ... 
arXiv:1012.0854v1 fatcat:oo5omt7izrgd5dfz52q7lpsirq

''Askwiki'''': Shallow Semantic Processing To Query Wikipedia

Felix Burkhardt, Jianshen Zhou
2012 Zenodo  
Virtually all approaches to add semantics to the Wikipedia content use RDF, the Resource Description Framework, as an underlying syntax to express semantic triples of subject, predicate and object.  ...  In [1] , categories, typed links and attributes are used to model a semantic structure between the Wikipedia articles.  ... 
doi:10.5281/zenodo.52340 fatcat:dbxdqxw55jg53pk4wnehpyuicq

Semantic Information Retrieval based on Wikipedia Taxonomy

May Sabai Han
2012 International Journal of Computer Applications Technology and Research  
The proposed method uses Wikipedia as an ontology and spreading activation strategy to compute semantic similarity.  ...  Recently many techniques have introduced measuring semantic similarity using Wikipedia, a free online encyclopedia. In this paper, a new technique of measuring semantic similarity is proposed.  ...  ., "Computing semantic relatedness using wikipedia-based explicit semantic analysis," Proc.  ... 
doi:10.7753/ijcatr0201.1016 fatcat:tbteoangtfgrphg4pmdvz6rdbq

Extracting semantic knowledge from Wikipedia category names

Priya Radhakrishnan, Vasudeva Varma
2013 Proceedings of the 2013 workshop on Automated knowledge base construction - AKBC '13  
This paper proposes a method to extract useful information from Wikipedia, using Semantic Features derived from Wikipedia categories.  ...  The Semantic Features derived by this method gave good correlation with human rankings in a web search query completion application.  ...  In this paper we derive semantically related word pairs from Wikipedia Category names.  ... 
doi:10.1145/2509558.2509577 dblp:conf/cikm/RadhakrishnanV13 fatcat:5vs3aoiir5ewhbvm3ko4tqn2qa

Enhancing text clustering by leveraging Wikipedia semantics

Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua Li, Qiang Yang, Zheng Chen
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
In this paper, to overcome these deficiencies, we first propose a way to build a concept thesaurus based on the semantic relations (synonym, hypernym, and associative relation) extracted from Wikipedia  ...  BOW, however, ignores the important information on the semantic relationships between key terms.  ...  We then propose a novel framework to leverage the hierarchical, synonymy and associative semantic relations from a Wikipedia thesaurus that we generated, where we treat the different relations in the thesaurus  ... 
doi:10.1145/1390334.1390367 dblp:conf/sigir/HuFCZLYC08 fatcat:fdtcfrunzbb57jfmkhmjzugerq

Discovering Semantics in Multimedia Content Using Wikipedia [chapter]

Angela Fogarolli, Marco Ronchetti
2008 Lecture Notes in Business Information Processing  
doi:10.1007/978-3-540-79396-0_5 fatcat:vgvnl5b65nalhlgw57c5qrqasa

Measuring Semantic Relatedness Between Two Wikipedia Articles

Dhanya Raghu
2016 International journal of Web & Semantic Technology  
We hypothesize that by using some kind of properties of the Wikipedia articles, which can be internal or external, we can estimate the relatedness between Wikipedia articles.  ...  Other techniques which are relevant when comparing the Wikipedia articles are cosine similarity, Jaccard similarity measure etc.  ...  The relationship between the wiki articles plays an important role in a further analysis of Wikipedia, it leads to semantic analysis and ultimately building a recommendation engine.  ... 
doi:10.5121/ijwest.2016.7103 fatcat:bxtsunhoxrg77busikm22u3cru
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