DocumentCode :
496356
Title :
Ontology-Based Categorization of Web Search Results Using YAGO
Author :
Ren, Anjian ; Du, Xiaoyong ; Wang, Puwei
Volume :
1
fYear :
2009
fDate :
24-26 April 2009
Firstpage :
800
Lastpage :
804
Abstract :
One of the major limitations of current search engines is that users could not quickly locate what they want if the input query is too general. Some existing techniques try to cluster Web search results into groups so as to userpsilas quick browsing. In this paper, we present a new approach to categorize the Web search results by using YAGO ontology. It utilizes the YAGO ontology to automatically generate categories for the user´s specific query and classify the search results into appropriate categories. Our experimental results indicate that our method is feasible and effectiveness.
Keywords :
ontologies (artificial intelligence); pattern classification; query processing; search engines; Web search result classification; Web search result clustering; YAGO ontology; ontology-based categorization; search engine; user quick browsing; user specific query; Feedback; Humans; Image databases; Image retrieval; Information retrieval; Information systems; Ontologies; Radio frequency; Set theory; Web search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.179
Filename :
5193813
Link To Document :
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