Published February 24, 2015
| Version v1
Publication
Intelligent information processing in a digital library using semantic web
Contributors
Description
With the explosive growth of information, it is
becoming increasingly difficult to retrieve the relevant
documents with current search engine only. The
information is treated as an ordinary database that
manages the contents and positions. To the individual
user, there is a great deal of useless information in
addition to the substantial amount of useful information.
This begets new challenges to docent community
and motivates researchers to look for intelligent
information retrieval approach and ontologies that
search and/or filter information automatically based on
some higher level of understanding are required. We
study improving the efficiency of search methods and
classify the search patrons into several models based on
the profiles of agent based on ontology.
We have proposed a method to efficiently search for
the target information on a Digital Library network with
multiple independent information sources. This paper
outlines the development of an expert prototype system
based in an ontology for retrieval information of the
Digital Library University of Seville. The results of this
study demonstrate that by improving representation by
incorporating more metadata from within the
information and the ontology into the retrieval process,
the effectiveness of the information retrieval is enhanced.
We used Jcolibri and Prótége for developing the
ontology and creation the expert system respectively.
Additional details
Identifiers
- URL
- https://idus.us.es/handle/11441/22744
- URN
- urn:oai:idus.us.es:11441/22744