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An Ontology-based Context Aware System for Selective Dissemination of Information in a Digital Library
Journal of Computing
s of Institutional Repositories and Digital Libraries are known by their needs for very specific information about one
or more subjects. To characterize s profiles and offer them new documents and resources is one of the main challenges of
today's libraries. In this paper, a Selective Dissemination of Information service is described, which proposes an Ontology-based
Context Aware system for identifying 's context (research subjects, work team, areas of interest). This…s of Institutional Repositories and Digital Libraries are known by their needs for very specific information about one
or more subjects. To characterize s profiles and offer them new documents and resources is one of the main challenges of
today's libraries. In this paper, a Selective Dissemination of Information service is described, which proposes an Ontology-based
Context Aware system for identifying 's context (research subjects, work team, areas of interest). This system enables librarians
to broaden s profiles beyond the information that s have introduced by hand (such as institution, age and language). The
system requires a context retrieval layer to capture information and behavior, and an inference engine to context
inference from many information sources (selected documents and s' queries).Otros autoresVer publicación -
Platform for collection from heterogeneous web sources and its application to a semantic repository organization at SeDiCI: Preliminaries
Journal of Computer Science & Technology
Presentation of a web collection platform designed to
relate and unify information available on different
standard web sources with a view to creating a browseable
thematic repository. The platform will be used
at the Intellectual Creation Diffusion Service combined
with ontologies and thesaurus to provide improved data
sorting.
Data is currently spread on web resources and traditional
search engines return ranked lists with no semantic
relation among documents…Presentation of a web collection platform designed to
relate and unify information available on different
standard web sources with a view to creating a browseable
thematic repository. The platform will be used
at the Intellectual Creation Diffusion Service combined
with ontologies and thesaurus to provide improved data
sorting.
Data is currently spread on web resources and traditional
search engines return ranked lists with no semantic
relation among documents. s have to spend a great
deal of time relating documents and trying to figure out
which ones fully address the issue domain. It is only after
locating similarities and differences that information
fragments are applied to the 's work, enabling
knowledge creation.
The proposed platform sorts out the different theme
domain functioning modules to allow their use in various
knowledge areas. Development includes two agents that
searches data base stored URLs, one is capable of
identifying bookmarked pages, interpreting labels and
providing rules for extracting information and storing it in
a RDF data file; on the other hand, the other agent is in
charge of getting related URLs from the given one. After
this stage, homogenization is applied and transformed
information is sorted out according to domain ontologies.
The platform allows for more efficient automatic
extraction processes and information search among
heterogeneous sources that represent the same concepts
using different standards.Otros autoresVer publicación
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