Fast Algorithms for Extended Regular Expression Matching and Searching
STACS '03 Proceedings of the 20th Annual Symposium on Theoretical Aspects of Computer Science
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Automatically collecting, monitoring, and mining japanese weblogs
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Annotating information structures in Chinese texts using HowNet
CLPW '00 Proceedings of the second workshop on Chinese language processing: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 12
HHMM-based Chinese lexical analyzer ICTCLAS
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
Innovation detection based on user-interest ontology of blog community
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Mining and visualizing local experiences from blog entries
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Extracting structured subject information from digital document archives
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Counting suffix arrays and strings
SPIRE'05 Proceedings of the 12th international conference on String Processing and Information Retrieval
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Weblogs (blogs) becomes a very popular medium for exchanging information, opinions and experiences nowadays. However, since new blog pages are constantly issued, finding out helpful information from them becomes a tedious and time consuming work. This paper proposes a system for extracting knowledge hidden in blog pages in Chinese. Before extraction, blog pages are clustered into categories. Then for each category, the knowledge can be extracted based on domain ontologies. Using restrained natural language processing, user can query the KB and the helpful knowledge will be returned based on reasoning about the individuals. KEROB, a prototype of our system, is designed and implemented to fulfill the above functions. The experimental results indicate the superiority of our system.