Configurable Meta-search in the Human Resource Domain
A Hybrid Approach to Schema and Data Integration for Meta-search Engines
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The volume and heterogeneity of information availableonline via Web sites or databases makes it difficultto find relevant information. Search engines, subjectdirectories and social network search engines areinsufficient to meet the requirements of users.Traditional search tools do not provide comprehensivecoverage of the Web and suffer from low recall andprecision, because the meaning of searched artifactsis unknown to them. To overcome these problems, wepropose a new configurable meta-search engine. Weapply automatic schema/data matching and integrationfor meta-search engines to resolve the s...
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.
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.
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