Extracting Relevant Information for a Domain-specific Search Service using Knowledge-based Mining Techniques

Bruder, Ilvio and Dethloff, Christian (2002) Extracting Relevant Information for a Domain-specific Search Service using Knowledge-based Mining Techniques. In: Proceedings of the 3rd International Conference on Web Information Systems Engineering (Workshops).

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Abstract

Opposite to general search engines specialized search engines have the advantage to exploit specified properties of a special domain in order to allow a better search. For that, special methods are developed for the analysis of web sites and the retrieval is adapted. The example of a weather search service in Germany should illustrate a knowledge-based, specialized search engine. There are a couple of WWW portals with weather information, climate, country sayings and health weather in Germany. The weather information providers present their data in a special way. These specialties are used for a knowledge-based data analysis of these web sites. Therefore an ontology and special analysis tools were developed. The goal is to present the most relevant information to the user in a web search service. To that a three-stage process will be presented. In the first stage a traditional search process is started. In the second stage an expansion, an arrangement, and a classification of the document set is done using link tracing and ranking algorithms. And in the final stage the ontology concepts and relations are searched. The data for the relevant information of an inquiry are aggregated from different resources using knowledge-based techniques.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Ontologie, Suchmaschine, Web Mining
Subjects: Autorenart > DBIS-Publikationen
Depositing User: Dbis Admin
Date Deposited: 24 Mar 2016 10:12
Last Modified: 24 Mar 2016 10:12
URI: http://eprints.dbis.informatik.uni-rostock.de/id/eprint/269

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