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Chapter and Conference Paper
A Quantitative Analysis of Semantic Information Retrieval Research Progress in China
The main goal of this paper is to mine the research progress and fu ture trends in semantic information retrieval in China. Totally 550 papers about the semantic information retrieval papers were collected fro...
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Chapter and Conference Paper
Using an Integrated Ontology Database to Categorize Web Pages
As we know, current classification methods are mostly based on the VSM (Vector Space Model), which only accounts for term frequency in the documents, and ignores important semantic relationships between key te...
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Chapter and Conference Paper
Extract Semantic Information from WordNet to Improve Text Classification Performance
Since a decade, text categorization has become an active field of research in the machine learning community. Most of the approaches are based on the term occurrence frequency. The performance of such surface-...
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Chapter and Conference Paper
Combination of Rough Sets and Genetic Algorithms for Text Classification
Automatic categorization of documents into pre-defined taxonomies is a crucial step in data mining and knowledge discovery. Standard machine learning techniques like support vector machines(SVM) and related la...
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Chapter and Conference Paper
Chinese Weblog Pages Classification Based on Folksonomy and Support Vector Machines
For centuries, classification has been used to provide context and direction in any aspect of human knowledge. Standard machine learning techniques like support vector machines and related large margin methods...