DocumentCode :
3510431
Title :
Ontology Extraction Considering Content Concordance from Tagging to Web Pages in Similar SBM Users
Author :
Harada, Fumiko ; Shimakawa, Hiromitsu
Author_Institution :
Dept. of Inf. Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan
fYear :
2013
fDate :
Aug. 31 2013-Sept. 4 2013
Firstpage :
289
Lastpage :
295
Abstract :
To realize web search engines with considering meaning of query phrases for each user, we have studied a method to extract hierarchical and synonymous relationships among tagged phrases on a social bookmark (SBM) for an individual SBM user. It detects the relationships from web page clusters with same tagged phrases derived from the bookmarks shared in the target and his similar SBM users. However, noisy tagging violating personal phrase meaning degrades its detection accuracy. This paper proposes a method to improve such drawback. The proposed method classifies web pages based on its content concordance as long as based on sameness of tagged phrases. Analyzing web pages belonging-ness to content-based and tag-based clusters, the relationships are detected more accurately. We compared the detection accuracies of the proposed and traditional methods through an experiment. For hierarchical relationships, the F-measure improves by 7.41% and the precision improves by 20.94% under guaranteeing more than 20% recall. For synonymous one, the F-measure does by 4.17% and the precision does by 21.80% under more than 10% recall.
Keywords :
ontologies (artificial intelligence); query processing; search engines; Web page clusters; Web search engines; content concordance; content-based clusters; noisy tagging; ontology extraction; query phrases; similar SBM users; social bookmark; tag-based clusters; tagged phrases; Accuracy; Data mining; Electronic mail; Noise measurement; Ontologies; Search engines; Tagging; personal phrase meaning; similar user; social bookmark; tagging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Applied Informatics (IIAIAAI), 2013 IIAI International Conference on
Conference_Location :
Los Alamitos, CA
Print_ISBN :
978-1-4799-2134-8
Type :
conf
DOI :
10.1109/IIAI-AAI.2013.45
Filename :
6630362
Link To Document :
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