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Based On Ontology Chinese Information Extraction System

Posted on:2005-09-11Degree:MasterType:Thesis
Country:ChinaCandidate:L Q MengFull Text:PDF
GTID:2208360125464306Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
In this paper, we first introduce the Information Extraction technology and its developing background and history. We analyse the system architecture, the taxonomy of Information Extraction and the key technology and weighing measure of Information Extraction. And we also introduce the basic knowledge of ontology. Based on this, we present a new approach to extracting information from normal document based on an application ontology that describes a domain of interest. In our approach we combine the Information Extraction with ontology. We first use the concepts, relations and keywords of domain ontology to generate Information Extraction rule automatically and then do grammar parsing on the document. After that we use the result of grammar parsing and Information Extraction rule to do information extraction on document and at last output the result as a list of records.In this paper, according to the approach and engineering reality condition, we designed an Ontology based Information Extracton System and wrote some codes and implemented the system, so in this paper, we introduce the main frame and the designing method of main modals in detail. Because we use the rule to extract information, so we focus on introducing a kind of rule, Lex. We not only introduce the grammar of these rules but also bring out the arithmetic of generating rule automatically.We also introduce the way we implement the system which includes data structure, flow chart etc. Then, we show the user interface of this extraction system and the result which we got from the processing of this system using some test documents. At last we analyse the extraction result.
Keywords/Search Tags:ontology, Grammar parse, Matching, Rule, Information Extraction
PDF Full Text Request
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