2 research outputs found
Challenges in distributed information search in a semantic digital library
Nowadays an enormous quantity of heterogeneous and distributed information is stored in the current digital
libraries. Access to these collections poses a serious challenge, however, because present search techniques
based on manually annotated metadata and linear replay of material selected by the user do not scale
effectively or efficiently to large collections. The artificial intelligent and semantic Web provides a common
framework that allows knowledge to be shared and reused. In this paper we propose a comprehensive
approach for discovering information objects in large digital collections based on analysis of recorded
semantic metadata in those objects and the application of expert system technologies. We suggest a
conceptual architecture for a semantic and intelligent search engine. OntoFAMA is a collaborative effort
that proposes a new form of interaction between people and Digital Library, where the latter is adapted to
individuals and their surroundings. We have used Case Based-Reasoning methodology to develop a
prototype for supporting efficient retrieval knowledge from digital library of Seville University
Expert knowledge management based on ontology in a digital library
The architecture of the future Digital Libraries should be able to allow any users to access available
knowledge resources from anywhere and at any time and efficient manner. Moreover to the individual user,
there is a great deal of useless information in addition to the substantial amount of useful information. The
goal is to investigate how to best combine Artificial Intelligent and Semantic Web technologies for semantic
searching across largely distributed and heterogeneous digital libraries. The Artificial Intelligent and
Semantic Web have provided both new possibilities and challenges to automatic information processing in
search engine process. The major research tasks involved are to apply appropriate infrastructure for specific
digital library system construction, to enrich metadata records with ontologies and enable semantic
searching upon such intelligent system infrastructure. We study improving the efficiency of search methods
to search a distributed data space like a Digital Library. This paper outlines the development of a CaseBased
Reasoning prototype system based in an ontology for retrieval information of the Digital Library
University of Seville. The results demonstrate that the used of expert system and the ontology into the
retrieval process, the effectiveness of the information retrieval is enhanced