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− | |Abstract=In this work, we present a new process-oriented | + | |Abstract=In this work, we present a new process-oriented approach for information retrieval called Kuphi. It is intended for investigating entities 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 of this entity in the text documents; she can also search via user-specified relations of the queried entity to other entities for these associated entitites in the text. The user has the possibility to search indirectly for manifestations of these relations. Due to cross-lingual annotation, we allow the query language to be different from the language of the documents. We demonstrate our approach with DBpedia as knowledgebase and news texts gathered from RSS feeds. |
|Download=Kuphi_ESWC2014.pdf | |Download=Kuphi_ESWC2014.pdf | ||
|Link=https://link.springer.com/chapter/10.1007%2F978-3-319-11955-7_47 | |Link=https://link.springer.com/chapter/10.1007%2F978-3-319-11955-7_47 |
Aktuelle Version vom 17. November 2019, 17:30 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 approach for information retrieval called Kuphi. It is intended for investigating entities 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 of this entity in the text documents; she can also search via user-specified relations of the queried entity to other entities for these associated entitites in the text. The user has the possibility to search indirectly for manifestations of these relations. Due to cross-lingual annotation, we allow the query language to be different from the language of the documents. 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