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Local search engine with global content based on domain specific knowledge
Sandi Pohorec, Mateja Verlič, Milan Zorman, 2009, original scientific article

Abstract: In the growing need for information we have come to rely on search engines. The use of large scale search engines, such as Google, is as common as surfingthe World Wide Web. We are impressed with the capabilities of these search engines but still there is a need for improvment. A common problem withsearching is the ambiguity of words. Their meaning often depends on the context in which they are used or varies across specific domains. To resolve this we propose a domain specific search engine that is globally oriented. We intend to provide content classification according to the target domain concepts, access to privileged information, personalization and custom rankingfunctions. Domain specific concepts have been formalized in the form ofontology. The paper describes our approach to a centralized search service for domain specific content. The approach uses automated indexing for various content sources that can be found in the form of a relational database, we! b service, web portal or page, various document formats and other structured or unstructured data. The gathered data is tagged with various approaches and classified against the domain classification. The indexed data is accessible through a highly optimized and personalized search service.
Keywords: information search, personalization, indexes, crawling, domain specific crawling, natural language processing, content tagging, distributed data sources, ranking functions
Published: 31.05.2012; Views: 1050; Downloads: 22
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