BibSonomy publications for /concept/user/brightbyte/wikiThu Jun 12 16:29:56 CEST 2008Beijing, China17th International World Wide Web ConferenceAprilAutomatically Refining the {Wikipedia} Infobox Ontology2008knowledge-extraction wikipedia ontology Thu Jun 12 16:29:56 CEST 2008New York, NY, USAJCDL ‘06: Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries358–358Quantifying the accuracy of relational statements in {Wikipedia}: a methodology2006text-mining knowledge-extraction wikipedia Thu Jun 12 16:29:56 CEST 2008Borovets, BulgariaRANLP 2007, CALP workshopUsing Wikipedia and supersense tagging for semi-automatic complex taxonomy construction2007wikipedia taxonomy tagging Thu Jun 12 16:29:56 CEST 2008Timisoara, RomaniaInternational Symposium on Symbolic and Numeric Algorithms for Scientific Computing157–164Wikipedia-Based Kernels for Text Categorization2007categorization wikipedia Tue Jun 10 02:07:08 CEST 2008Arxiv preprint cs/0701072{Tagging, Folksonomy \& Co-Renaissance of Manual Indexing?}2007tagging wikipedia folksonomy indexing Fri May 30 21:34:41 CEST 2008International Symposium on Wikis: Proceedings of the 2005 international symposium on Wikis183--15{Are wikis usable?}162005education usability wikipedia Fri May 30 21:34:41 CEST 2008International Symposium on Wikis: Proceedings of the 2006 international symposium on Wikis2319--32{Translation the Wiki way}212006translation wikipedia Fri May 30 11:59:35 CEST 2008also avialable at http://lips.informatik.uni-leipzig.de/pub/2008-4Automatischer Aufbau eines multilingualen Thesaurus durch Extraktion semantischer und lexikalischer Relationen aus der Wikipedia2008thesis thesaurus translation wikipedia relatedness named-entities Thu May 29 09:57:30 CEST 2008Santa Cruz, CA, USAUCSC-CRL-07-09Assigning Trust To Wikipedia Content2007reputation annotation wikipedia quality The Wikipedia is a collaborative encyclopedia: anyone can contribute to its articles simply by clicking on an ``edit'' button. The open nature of the Wikipedia has been key to its success, but has also created a challenge: how can readers form an informed opinion on its reliability? We propose a system that computes quantitative values of trust for the text in Wikipedia articles; these trust values provide an indication of text reliability. The system uses as input the revision history of each article, as well as information about the reputation of the contributing authors, as provided by a reputation system. The trust of a word in an article is computed on the basis of the reputation of the original author of the word, as well as the reputation of all authors who edited the text in proximity of the word. The algorithm computes word trust values that vary smoothly across the text; the trust values can be visualized using varying text-background colors. The algorithm ensures that all changes to an article text are reflected in the trust values, preventing surreptitious content changes. We have implemented the proposed system, and we have used it to compute and display the trust of the text of thousands of articles of the English Wikipedia. To validate our trust-computation algorithms, we show that text labeled as low-trust has a significantly higher probability of being edited in the future than text labeled as high-trust. Anecdotal evidence seems to corroborate this validation: in practice, readers find the trust information valuable. Thu May 29 09:57:18 CEST 2008Santa Cruz, CA, USAUCSC-SOE-08-09Robust Content-Driven Reputation2008wikipedia quality reputation annotation In content-driven reputation systems for collaborative content, users gain or lose reputation according to how their contributions fare: authors of long-lived contributions gain reputation, while authors of reverted contributions lose reputation. Existing content-driven systems are prone to Sybil attacks, in which multiple identities, controlled by the same person, perform coordinated actions to increase their reputation. We show that content-driven reputation systems can be made resistent to such attacks by taking advantage of the fact that the reputation increments and decrements depend on content modifications, which are visible to all. We present an algorithm for content-driven reputation that prevents a set of identities from increasing their maximum reputation without doing any useful work. A variation of the algorithm ensures that the reputation of each identity which performs only non-useful work decreases. Here, work is considered useful if it causes content to evolve in a direction that is consistent with the actions of high-reputation users. We argue that the content modifications that require no effort, such as the insertion or deletion of arbitrary text, are invariably non-useful. We prove a truthfullness result for the resulting system, stating that users who wish to perform a contribution do not gain by employing complex contribution schemes, compared to simply performing the contribution at once. In particular, splitting the contribution in multiple portions, or employing the coordinated actions of multiple identities, do not yield additional reputation. Taken together, these results indicate that content-driven systems can be made robust with respect to Sybil attacks. Thu May 29 09:56:22 CEST 2008Santa Cruz, CA, USAUCSC-SOE-08-08Measuring Author Contributions to the Wikipedia2008reputation annotation wikipedia quality We consider the problem of measuring user contributions to versioned, collaborative bodies of information, such as wikis. Measuring the contributions of individual authors can be used to divide revenue, to recognize merit, to award status promotions, and to choose the order of authors when citing the content. In the context of the Wikipedia, previous works on author contribution estimation have focused on two criteria: the total text created, and the total number of edits performed. We show that neither of these criteria work well: both techniques are vulnerable to manipulation, and the total-text criterion fails to reward people who polish or re-arrange the content. We consider and compare various alternative criteria that take into account the quality of a contribution, in addition to the quantity, and we analyze how the criteria differ in the way they rank authors according to their contributions. As an outcome of this study, we propose to adopt total edit longevity as a measure of author contribution. Edit longevity is resistant to simple attacks, since edits are counted towards an author's contribution only if other authors accept the contribution. Edit longevity equally rewards people who create content, and people who rearrange or polish the content. Finally, edit longevity distinguishes the people who contribute little (who have contribution close to zero) from spammers or vandals, whose contribution quickly grows negative. Fri May 16 14:40:23 CEST 2008Proceedings of Knowledge Representation in Medicine (KR-MED) 2006 {An Online Ontology: WiktionaryZ}2006omegawiki wikidata hesaurus wiki dictionary Wed May 14 18:07:06 CEST 2008Extracting corpus specific knowledge bases from Wikipedia2007wikipedia thesaurus Thesauri are useful knowledge structures for assisting information retrieval. Yet their production is labor-intensive, and few domains have comprehensive thesauri that cover domain-specific concepts and contemporary usage. One approach, which has been attempted without much success for decades, is to seek statistical natural language processing algorithms that work on free text. Instead, we propose to replace costly professional indexers with thousands of dedicated amateur volunteers—namely, those that are producing Wikipedia. This vast, open encyclopedia represents a rich tapestry of topics and semantics and a huge investment of human effort and judgment. We show how this can be directly exploited to provide WikiSauri: manually-defined yet inexpensive thesaurus structures that are specifically tailored to expose the topics, terminology and semantics of individual document collections. We also offer concrete evidence of the effectiveness of WikiSauri for assisting information retrieval.Wed May 14 16:06:07 CEST 2008Proceedings of the International Conference on Information Quality442--454Assessing information quality of a community-based encyclopedia2005quality wikipedia Wed May 14 14:10:43 CEST 2008Nature900-901Internet encyclopaedias go head to head4382005wikipedia quality WW-SHOULD Wed May 14 13:52:28 CEST 2008Proceedings of the International Conference on Information Society352--357The Wiki Way of Knowledge Management with Topic Maps.2007wikipedia WW-MUST topic-maps Wed May 14 13:41:14 CEST 2008 Feature Generation for Textual Information Using World Knowledge 2006 WW-MUST knowledge wikipedia annotation Wed May 14 13:34:38 CEST 20086th Int’l Semantic Web Conference, Busan, Korea, Nov{DBpedia: A Nucleus for a Web of Open Data}2007WW-MUST semantic wikipedia Wed May 14 13:30:38 CEST 2008AINAconf/aina/2007932-939A Thesaurus Construction Method from Large Scale Web Dictionaries.2007thesaurus wikipedia dictionary WW-MUST Wed May 14 13:20:30 CEST 2008 A Knowledge-Based Search Engine Powered by Wikipedia 2007 knowledge-extraction search wikipedia