A Novel Information Organization Method Based on Ontology for Unstructured Information

Abstract:

The paper analyzes the mode and method for unstructured information, compares the similarities and differences between ontology and vocabulary and taxonomy, and discusses the position and the function of ontology for unstructured information from the two aspects of standard system of semantic net and the concept characteristic of ontology. Based on the ontologies DB, the annotation of unstructured information is obtained. Information retrieval which consists of concept-matched retrieval and rule-based reasoning retrieval is proposed with the help of information annotation. The experiment results show that rule-based retrieval has better recall and shorter retrieval time than fact-based retrieval and relationship-based retrieval.

• Periodical: Key Engineering Materials (Volumes 439-440)
• Pages: 1042-1047
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.439-440.1042
• Online since: June 2010
• Authors: Zhi Gang Ji
• Keywords: Information Annotation, Information Retrieval, Metadata, Ontology, Unstructured Information

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