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|Title=Kuphi - An Investigation Tool for Searching for and via Semantic Relations | |Title=Kuphi - An Investigation Tool for Searching for and via Semantic Relations | ||
|Year=2014 | |Year=2014 | ||
|Month=Mai | |Month=Mai | ||
|Booktitle=The Semantic Web: ESWC 2014 Satellite Events | |Booktitle=The Semantic Web: ESWC 2014 Satellite Events | ||
| + | |Pages=349–354 | ||
|Publisher=Springer | |Publisher=Springer | ||
|Address=Heidelberg | |Address=Heidelberg | ||
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{{Publikation Details | {{Publikation Details | ||
| + | |Abstract=In this work, we present a new process-oriented approachfor information retrieval calledKuphi. It is intended for investigatingentities and their semantic relations to other entities in text documents.We extend the traditional search capabilities which are based on thebag-of-words model in the following way: Starting with a keyword searchfor a specific entity, the user can not only search for appearances ofthis entity in the text documents; she can also search via user-specifiedrelations of the queried entity to other entities for these associatedentitites in the text. The user has the possibility to search indirectlyfor manifestations of these relations. Due to cross-lingual annotation,we allow the query language to be different from the language of thedocuments. We demonstrate our approach with DBpedia as knowledgebase and news texts gathered from RSS feeds. | ||
| + | |Download=Kuphi_ESWC2014.pdf | ||
| + | |Link=https://link.springer.com/chapter/10.1007%2F978-3-319-11955-7_47 | ||
| + | |DOI Name=10.1007/978-3-319-11955-7_47 | ||
|Projekt=SyncTech, XLike | |Projekt=SyncTech, XLike | ||
| − | |Forschungsgruppe= | + | |Forschungsgruppe=Web Science |
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Version vom 17. November 2019, 17:28 Uhr
Kuphi - An Investigation Tool for Searching for and via Semantic Relations
Kuphi - An Investigation Tool for Searching for and via Semantic Relations
Published: 2014
Mai
Buchtitel: The Semantic Web: ESWC 2014 Satellite Events
Seiten: 349–354
Verlag: Springer
Erscheinungsort: Heidelberg
Referierte Veröffentlichung
BibTeX
Kurzfassung
In this work, we present a new process-oriented approachfor information retrieval calledKuphi. It is intended for investigatingentities and their semantic relations to other entities in text documents.We extend the traditional search capabilities which are based on thebag-of-words model in the following way: Starting with a keyword searchfor a specific entity, the user can not only search for appearances ofthis entity in the text documents; she can also search via user-specifiedrelations of the queried entity to other entities for these associatedentitites in the text. The user has the possibility to search indirectlyfor manifestations of these relations. Due to cross-lingual annotation,we allow the query language to be different from the language of thedocuments. We demonstrate our approach with DBpedia as knowledgebase and news texts gathered from RSS feeds.
Download: Media:Kuphi_ESWC2014.pdf
Weitere Informationen unter: Link
DOI Link: 10.1007/978-3-319-11955-7_47