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Research on the Technology of the Corporate Relations Mining

Author: GuoKai
Tutor: LiuYuanChao
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: Information Extraction Ontology Corporate Relations Ontology Construction Semantic reasoning
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 17
Quote: 0
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Abstract


With the rise of Internet commerce , more and more companies the enterprise information published on the Web . This channel so the enterprise business market are no longer subject to the restrictions of time and space , and all enterprises , regardless of their size have the same information resources . But for businesses interested in the enterprise information obtained from the vastness of the Internet , how to find potential competitors and potential joint ventures , business decisions and the survival and development of enterprises are extremely important , Corporate Relations mining technology the study is in this environment . This research work includes two aspects : the enterprise information extraction and relationship mining . In this paper, the DOM - based extraction method to extract the enterprise information . Web crawler first enterprise web crawling from the enterprise portal , has a lot of similarities in structure from the pages of the same site . Parsing the DOM Tree -to-business website , first borrowed the HTML Tidy HTML format pages into XML format , and then according to the rules node localization , extraction needs of enterprise data information . Relational Mining tried two methods : text - based similarity methods and field Ontology - based method . The use of text - based similarity method to extract the part of the enterprise information as a text on behalf of the enterprise and the text similarity values ??between enterprises as determining the basis of enterprise competitive relationship . This article represents a corporate text vector space model for text similarity calculation and experimental verification is based on this method . Ontology of corporate relations based on the field of mining first analysis of product areas to build domain ontology , a detailed analysis of the domain ontology building process and with the Protégé ontology building tool developed at Stanford University to build one of Ontology computer field , and use of Jena parse Ontology files. By setting the rules of the relationship products inference queries , query associated products for enterprise products . Business relationship usually reflected in a business relationship , product relationship determination Corporate Relations With Ontology reasoning in this article . The experimental results show that this approach compared to the text-based approach to significantly improve the precision and recall rate .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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