Paper Info
Title
Innovation detection based on user-interest ontology of blog community
Abstract
Recently, the use of blogs has been a remarkable means to publish user interests. In order to find suitable information resources from a large amount of blog entries which are published every day, we need an information filtering technique to automatically transcribe user interests to a user profile in detail. In this paper, we first classify user blog entries into service domain ontologies and extract interest ontologies that express a user’s interests semantically as a hierarchy of classes according to interest weight by a top-down approach. Next, with a bottom-up approach, users modify their interest ontologies to update their interests in more detail. Furthermore, we propose a similarity measurement between ontologies considering the interest weight assigned to each class and instance. Then, we detect innovative blog entries that include concepts that the user has not thought about in the past based on the analysis of approximated ontologies of a user’s interests. We present experimental results that demonstrate the performance of our proposed methods using a large-scale blog entries and music domain ontologies.
Year
DOI
Venue
2006
10.1007/11926078_37
International Semantic Web Conference
Keywords
Field
DocType
interest weight,innovative blog entry,user profile,user-interest ontology,interest ontology,innovation detection,blog community,large-scale blog entry,user interest,user blog entry,interests semantically,bottom-up approach,blog entry,bottom up,top down
Ontology (information science),Data mining,Ontology,World Wide Web,User profile,Computer science,Semantic Web,Class hierarchy,Information extraction,Web community,Semantics,Database
Conference
Volume
ISSN
ISBN
4273
0302-9743
3-540-49029-9
Citations 
PageRank 
References 
11
0.60
6
Authors
3
Name
Order
Citations
PageRank
Makoto Nakatsuji122513.16
Yu Miyoshi2152.68
Yoshihiro Otsuka3111.61