Rule-Based Agricultural Knowledge Fusion in Web Information Integration
In traditional Web information integration systems, answers are provided as a large relevant information entity set stratifying a user' question, which make a user to browsing the set for the final answer that may not exits. Deeper information integration, called knowledge fusion (KF), which provides a more integrated answer, involves not only delivering the answer information available via the links to user, but also analyzing, and merging the information results coming from agricultural information sources by solving the result consistencies, removing duplicates, etc based on agricultural domain ontology. In the paper, we give a detail about the knowledge fusion Method, and a KF-based information access interface. Many experiments prove that the method is effective.
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Document Type: Research Article
Publication date: 2012-01-01
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