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{{Inproceedings
 
{{Inproceedings
|Referiert=True
+
|Referiert=Ja
 
|Title=Exploiting Semantic Annotations for Entity-based Information Retrieval
 
|Title=Exploiting Semantic Annotations for Entity-based Information Retrieval
 
|Year=2014
 
|Year=2014
 
|Month=Oktober
 
|Month=Oktober
|Booktitle=Proceedings of the ISWC 2014 Posters & Demonstrations Track
+
|Booktitle=Proceedings of the ISWC 2014 Posters & Demonstrations Track within the 13th International Semantic Web Conference (ISWC 2014)
|Publisher=CEUR-WS
+
|Pages=429–432
 +
|Publisher=Springer
 
}}
 
}}
 
{{Publikation Details
 
{{Publikation Details
 
|Abstract=In this paper, we propose a new approach to entity-based information retrieval by exploiting semantic annotations of documents. With the increased availability of structured knowledge bases and semantic annotation techniques, we can capture documents and queries at their semantic level to avoid the high semantic ambiguity of terms and to bridge the language barrier between queries and documents. Based on various semantic interpretations, users can refine the queries to match their intents. By exploiting the semantics of entities and their relations in knowledge bases, we propose a novel ranking scheme to address the information needs of users.
 
|Abstract=In this paper, we propose a new approach to entity-based information retrieval by exploiting semantic annotations of documents. With the increased availability of structured knowledge bases and semantic annotation techniques, we can capture documents and queries at their semantic level to avoid the high semantic ambiguity of terms and to bridge the language barrier between queries and documents. Based on various semantic interpretations, users can refine the queries to match their intents. By exploiting the semantics of entities and their relations in knowledge bases, we propose a novel ranking scheme to address the information needs of users.
|Download=Retrieval.pdf,  
+
|Download=Retrieval.pdf,
 
|Projekt=Software Campus, SyncTech, XLiMe, XLike
 
|Projekt=Software Campus, SyncTech, XLiMe, XLike
|Forschungsgruppe=Wissensmanagement
+
|Forschungsgruppe=Web Science
 
}}
 
}}

Aktuelle Version vom 17. November 2019, 17:24 Uhr


Exploiting Semantic Annotations for Entity-based Information Retrieval


Exploiting Semantic Annotations for Entity-based Information Retrieval



Published: 2014 Oktober

Buchtitel: Proceedings of the ISWC 2014 Posters & Demonstrations Track within the 13th International Semantic Web Conference (ISWC 2014)
Seiten: 429–432
Verlag: Springer

Referierte Veröffentlichung

BibTeX

Kurzfassung
In this paper, we propose a new approach to entity-based information retrieval by exploiting semantic annotations of documents. With the increased availability of structured knowledge bases and semantic annotation techniques, we can capture documents and queries at their semantic level to avoid the high semantic ambiguity of terms and to bridge the language barrier between queries and documents. Based on various semantic interpretations, users can refine the queries to match their intents. By exploiting the semantics of entities and their relations in knowledge bases, we propose a novel ranking scheme to address the information needs of users.

Download: Media:Retrieval.pdf

Projekt

Software CampusSyncTechXLiMeXLike



Forschungsgruppe

Web Science


Forschungsgebiet