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2016•Unpublished venueOpen access

A refined model of ontology-driven information extraction

Chunyu Cong, Shan Huo, Meng Xiao, Rui Gao, Zhongying Wang

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Abstract

An ontology is a formal and normalized explanation of a shared conceptualization while information extraction (IE) is a form of natural language processing in which certain types of information must be recognized and extracted from text.The methods of ontology-based IE fall in two broad categories: document-driven IE and ontology-driven IE.Document-driven IE is known as semantic annotation which annotates and manages the knowledge in semantic web with the semantic information in domain ontologies.Ontology-driven IE can extract information from unstructured documents based on a domain ontology.In this paper, we use ontology-driven IE to extract hazard information from Chinese food complaint documents and the results are delightful.

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What this paper is about

An ontology is a formal and normalized explanation of a shared conceptualization while information extraction (IE) is a form of natural language processing in which certain types of information must be recognized and extracted from text.The methods of ontology-based IE fall in two broad categories: document-driven IE and ontology-driven IE.Document-driven IE is known as semantic annotation which annotates and manages the knowledge in semantic web with the semantic information in domain ontologies.Ontology-driven IE can extract information from unstructured documents based on a domain ontology.In this paper, we use ontology-driven IE to extract hazard information from Chinese food complaint documents and the results are delightful.

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Available abstract

An ontology is a formal and normalized explanation of a shared conceptualization while information extraction (IE) is a form of natural language processing in which certain types of information must be recognized and extracted from text.The methods of ontology-based IE fall in two broad categories: document-driven IE and ontology-driven IE.Document-driven IE is known as semantic annotation which annotates and manages the knowledge in semantic web with the semantic information in domain ontologies.Ontology-driven IE can extract information from unstructured documents based on a domain ontology.In this paper, we use ontology-driven IE to extract hazard information from Chinese food complaint documents and the results are delightful.

Key concepts: Computer science, Ontology, Information extraction, Information retrieval, Extraction (chemistry), Data mining, Epistemology, Chemistry

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