Title :
Unstructured information organization based on ontology
Author :
Ji, Zhigang ; Liu, Gang ; Sun, Qingyu
Author_Institution :
Dept. of the Libr., Hebei Univ. of Eng., Handan, China
Abstract :
This paper proposes the method to develop domain ontology´s DB, based on the ontology´s DB, utilizes ontology´s to annotate unstructured information and translate unstructured information into structured information, so that facilitates the retrieval of unstructured information. The experiment results show that rule-based retrieval has better recall and shorter retrieval time than fact-based retrieval and relationship -based retrieval.
Keywords :
information retrieval; ontologies (artificial intelligence); domain ontology DB; fact-based retrieval; information retrieval; relationship based retrieval; rule-based retrieval; unstructured information organization; Databases; Ecosystems; Information management; Information resources; Information retrieval; Internet; Ontologies; Paper technology; Software libraries; Web server; Information annotation; Information retrieval; Metadata; Ontology; Unstructured information;
Conference_Titel :
E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-5514-0
DOI :
10.1109/EDT.2010.5496544