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BTW2007 web

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Published on October 15, 2007

Author: Christian

Source: authorstream.com

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Results for „Konferenz Aachen“:  Results for „Konferenz Aachen“ NRW KULTURsekretariat Relevanz: 5.9% - - Pfadfinderinnenschaft Sankt Georg Relevanz: 5.7% - - Konferenz der deutschsprachigen Mathematikfachschaften Relevanz: 5.2% - - Leonard Monheim Relevanz: 5.1% - - Andreas Kruse Relevanz: 4.9% - - Holzbau Relevanz: 4.9% - - Wolfgang Seifen Relevanz: 4.9% - - Feldpost der Belgier in Deutschland nach dem Ersten Weltkrieg 1918–1935 Relevanz: 4.1% - - Konferenz der Informatikfachschaften Relevanz: 4.0% - - UNESCO-Club Relevanz: 3.7% - - Kaiser/Riegraf-Gruppe (Heilbronn) Relevanz: 3.7% - - Niederländische Annexionspläne nach dem Zweiten Weltkrieg Relevanz: 3.6% - - Find a page of a conference that is related to Aachen. Limit query to certain classes of result pages Source for Classes: WordNet Thesaurus:  Source for Classes: WordNet Thesaurus ROOT entity group thing living_thing person entertainer scientist physicist biologist musician actor meeting conference congress minority More than 81000 concepts Mapping Pages to Concepts:  Mapping Pages to Concepts Automatic mapping with high quality Architecture:  Architecture Wikipedia Pages (Wiki Markup) Concept Mapping (1): Categories:  Concept Mapping (1): Categories Manually added category information in most pages Example: Albert Einstein Excellent_articles 1879_births Physics Swiss_physicists Technically: exclude admin categories, shallow parsing of category labels, stemming, mapping heuristics Concept Mapping (2): Regular Structure:  Concept Mapping (2): Regular Structure Regular structures (list, tables, …) often indicate similar concepts Example: List of people Albert Einstein Max Planck Nils Bohr Werner Heisenberg Technically: grouping of similar XPath expressions, find coherent annotations, frequency & confidence thresholds physicist Concept Mapping (2): Regular Structure:  Concept Mapping (2): Regular Structure Technically: grouping of similar XPath expressions, find coherent annotations, frequency & confidence thresholds /article[1]/…/list[3]/item[1]/link[1] /article[1]/…/list[3]/item[2]/link[1] /article[1]/…/list[3]/item[3]/link[1] /article[1]/…/list[3]/item[4]/link[1] Regular structures (list, tables, …) often indicate similar concepts Example: List of people Concept Mapping (3): Outlier Detection:  Concept Mapping (3): Outlier Detection Sometimes conflicting annotations of the same page: ROOT entity thing living_thing person ruler artifact instrument ruler Solution: Compatibility matrix for high-level concepts king Kings_of_Spain European_rulers ? YAWN: Annotated XML:  YAWN: Annotated XML Add concept tag(s) to articles <city source=„categories“ confidence=“1.0“> <article>…</article> </city> Add concept tag(s) to outgoing links …<city source=“lists“ confidence=“0.9“> <link target=„“…“>Saarbrücken</link> </city> Querying YAWN:  Querying YAWN Map concept queries to XPath expressions „conferences in Aachen“: //conference[contains(.,“Aachen“)] „scientists who won a nobel prize“: //scientist[contains(.,“Nobel prize“)] „musicians who performed a song where ‚space‘ occurs in the title“: //musician[contains(//song,“space“)] Not for end users! Needs good user interface Left Overs and Summary:  Left Overs and Summary XML Conversion Templates Preliminary evaluation See paper Automated detection and annotation of concepts is useful for retrieval. The Future: YAGO [WWW‘07]:  The Future: YAGO [WWW‘07] city area state Aachen NRW Querying the knowledge representation Slide14:  Thank you!

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