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Web Information Extraction Algorithm Based on Ontology and DOM Tree

Li Liu, Junfan Shi, Xinrui Liu

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Abstract

Due to the information on the Web being tremendous, dynamic and irregular, it is difficult to search and integrate information from the Web. This paper proposes a Web information extraction algorithm based on Ontology and DOM tree. The areas are accurately found out and the interested information is extracted exactly by information extraction rules generated by ontology. Furthermore this algorithm implements information extraction through traveling DOM tree. Finally, we implement information extraction system and test its performance on news site. Testing result shows that this algorithm doesn't rely on the page structure and it can increase the recall and precision of information extraction.

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What this paper is about

Due to the information on the Web being tremendous, dynamic and irregular, it is difficult to search and integrate information from the Web. This paper proposes a Web information extraction algorithm based on Ontology and DOM tree. The areas are accurately found out and the interested information is extracted exactly by information extraction rules generated by ontology. Furthermore this algorithm implements information extraction through traveling DOM tree. Finally, we implement information extraction system and test its performance on news site. Testing result shows that this algorithm doesn't rely on the page structure and it can increase the recall and precision of information extraction.

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Available abstract

Due to the information on the Web being tremendous, dynamic and irregular, it is difficult to search and integrate information from the Web. This paper proposes a Web information extraction algorithm based on Ontology and DOM tree. The areas are accurately found out and the interested information is extracted exactly by information extraction rules generated by ontology. Furthermore this algorithm implements information extraction through traveling DOM tree. Finally, we implement information extraction system and test its performance on news site. Testing result shows that this algorithm doesn't rely on the page structure and it can increase the recall and precision of information extraction.

Key concepts: Computer science, Information extraction, Document Object Model, Ontology, Information retrieval, Precision and recall, Tree (set theory), Data mining

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