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An Infrastructure for Scalable, Reliable Semantic Portals


An Infrastructure for Scalable, Reliable Semantic Portals



Veröffentlicht: 2004 Mai

Journal: IEEE Intelligent Systems
Nummer: 3
Seiten: 58-65
Verlag: IEEE
Volume: 19


Referierte Veröffentlichung

BibTeX




Kurzfassung
Identifying and presenting useful information for a given context is an important challenge for research and development of Web technologies.Providing access to information for humans and machines is one of the main motivations for the Semantic Web. Our contribution to the 2003 Semantic Web Grand Challenge realizes semantic-based search and access facilities to information represented by semantic portals. Such portals typically provide knowledge about a specific domain and rely on ontologies to structure and exchange this knowledge. Computer science exploits ontologies to enhance knowledge sharing and reuse. First, ontologies provide a common, shared understanding of knowledge in an interest domain. Second, they capture and formalize knowledge by connecting human understanding of symbols with their machine processability. As such, ontologies play a key role for realizing the Semantic Web. Our contribution extends and implements the basic conceptual framework SEAL (SEmantic portAL) with the aim of using semantic technologies in real-world scenarios through a reliable, scalable infrastructure. We also show how multiple semantic portals can interact with one another to exchange knowledge, thus fostering reuse. The building blocks of our extension include knowledge integration, processing, representation, organization, and access. Our approach has these benefits: (i) Significant reduction of content maintenance overhead, (ii) knowledge accessibility for both human and machine agents, atop existing information sources, and (iii) suitability for productive environments.

ISSN: 1541-1672
VG Wort-Seiten: 8
Download: Media:2004_444_Hartmann_An_Infrastructu_1.pdf

Projekt

AIFB SEALOntoWeb



Forschungsgruppe

Web Science und Wissensmanagement


Forschungsgebiet