Beschreibung
The volume and heterogeneity of information available online via Web sites or databases makes it difficult to find relevant information. Search engines, subject directories and social network search engines are insufficient to meet the requirements of users. Traditional search tools do not provide comprehensive coverage of the Web and suffer from low recall and precision, because the meaning of searched artifacts is unknown to them. To overcome these problems, we propose a new configurable meta-search engine. We apply automatic schema/data matching and integration for meta-search engines to resolve the semantic heterogeneity between multiple information sources. The meta-search engine uses a domain ontology and multiple matchers that help to understand the search results too. Flexible and re-useable design patterns have also been introduced for the meta-search engine. The techniques have been verified in a prototype for the human resource domain, i.e. for a job search. The book is useful to professionals or companies involved in the integration of search-engines, ontologies and databases.
Autorenporträt
Tabbasum Naz, Ph.D: Studied Computer Science at Vienna Universityof Technology, Austria in 2009. She has also worked as visitingresearcher at London Knowledge Lab,UK. Juergen Dorn, Ph.D:Studied Computer Science and Economics from TechnischeUniversität Berlin, Germany in 1989. He is now professor atVienna University of Technology, Austria.
Herstellerkennzeichnung:
BoD - Books on Demand
In de Tarpen 42
22848 Norderstedt
DE
E-Mail: info@bod.de
