Paper Info
Title
Extracting Relevant Information for a Domain-specific Search Service using Knowledge-based Mining Techniques
Abstract
Opposite to general search engines, specialized searchengines have the advantage to exploit specified propertiesof a special domain in order to allow a better search. Forthat, special methods are developed for the analysis of websites and the retrieval is adapted. The example of a weathersearch service in Germany illustrates a knowledge-based,specialized search engine in this paper.There are a couple of WWW portals about weather information,climate, country sayings and health weather inGermany. The weather information providers present theirdata in a special way. These specialties are used for aknowledge-based data analysis of the web sites. Thereforean ontology and special analysis tools were developed. Thegoal is to present the most relevant information to the userin a web search service. To that, a three-stage process willbe presented. In the first stage a traditional search processis started. In the second stage an expansion, an arrangement,and a classification of the document set is done usinglink tracing and ranking algorithms. And in the final stagethe ontology concepts and relations are searched. The documentscan be stored as URL-objects, HTML-sequences orjava access classes. The data for the relevant informationof an inquiry are aggregated from different resources usingknowledge-based techniques.
Year
DOI
Venue
2002
10.1109/WISEW.2002.1177871
WISE Workshops
Keywords
Field
DocType
extracting relevant information,general search engine,specialized search engine,traditional search processis,health weather ingermany,special method,special domain,web search service,knowledge-based mining techniques,better search,special analysis tool,aknowledge-based data analysis,domain-specific search service,ontologies,data mining,world wide web,search engine,knowledge base,data analysis,search engines,databases,java,computer science
Data mining,Ontology,Learning to rank,Computer science,Tracing,Ontology (information science),Analysis tools,World Wide Web,Search engine,Information retrieval,Exploit,Java,Database
Conference
ISBN
Citations 
PageRank 
0-7695-1813-3
0
0.34
References 
Authors
7
2
Name
Order
Citations
PageRank
Ilvio Bruder110324.38
Christian Dethloff200.68