SEmantic portAL: The SEAL Approach

The core idea of the Semantic Web is to make information accessible to human and software agents on a semantic basis. Hence, web sites may feed directly from the Semantic Web exploiting the underlying structures for human and machine access. We have developed a generic approach for developing semantic portals, viz. SEAL (SEmantic portAL), that exploits semantics for providing and accessing information at a portal as well as constructing and maintaining the portal. In this paper, we discuss the role that semantic structures make for establishing communication between different agents in general. We elaborate on a number of intelligent means that make semantic web sites accessible from the outside, viz. semantics-based browsing, semantic querying and querying with semantic similarity, semantic personalization, and machine access to semantic information at a semantic portal. As a case study we refer to the AIFB web site — a place that is increasingly driven by Semantic Web technologies.

[1]  John F. Sowa,et al.  Conceptual Structures: Information Processing in Mind and Machine , 1983 .

[2]  Jaideep Srivastava,et al.  Web usage mining: discovery and applications of usage patterns from Web data , 2000, SKDD.

[3]  John Murphy,et al.  Using WordNet as a Knowledge Base for Measuring Semantic Similarity between Words , 1994 .

[4]  Dieter Fensel,et al.  Ontobroker: Ontology Based Access to Distributed and Semi-Structured Information , 1999, DS-8.

[5]  E Davio,et al.  The times they are a'changin'. , 1970, The Journal of practical nursing.

[6]  Steffen Staab,et al.  Knowledge Processes and Ontologies , 2001, IEEE Intell. Syst..

[7]  Tim Menzies,et al.  Knowledge maintenance: the state of the art , 1999, The Knowledge Engineering Review.

[8]  Asunción Gómez-Pérez A framework to verify knowledge sharing technology , 1996 .

[9]  Steffen Staab,et al.  Knowledge Portals: Ontologies at Work , 2001, AI Mag..

[10]  Oren Etzioni,et al.  Adaptive Web Sites: an AI Challenge , 1997, IJCAI.

[11]  Dieter Fensel,et al.  Community is knowledge! in (KA)2 , 1998 .

[12]  I. A. Richards,et al.  The Meaning of Meaning: a Study of the Influence of Language upon Thought and of the Science of Symbolism , 1923, Nature.

[13]  Michael Kifer,et al.  Logical foundations of object-oriented and frame-based languages , 1995, JACM.

[14]  F. G. Crookshank,et al.  The meaning of meaning : a study of the influence of language upon thought and of the science of symbolism , 1924 .

[15]  Steffen Staab,et al.  An annotation framework for the semantic web , 2001 .

[16]  Steffen Staab,et al.  Ontology Learning for the Semantic Web , 2002, IEEE Intell. Syst..

[17]  Martin Grötschel,et al.  Information Services for Mathematics in the Internet (Math-Net) , 1997 .

[18]  John A. Kunze,et al.  Dublin Core Metadata for Resource Discovery , 1998, RFC.

[19]  Steffen Staab,et al.  The Times They Are A-Changin' - The Corporate History Analyzer , 2000, PAKM.

[20]  Steffen Staab,et al.  Leveraging Corporate Skill Knowledge - From ProPer to OntoProPer , 2000, PAKM.

[21]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[22]  Ian Horrocks,et al.  Knowledge Representation on the Web , 2000, Description Logics.

[23]  Nicola Guarino,et al.  Identity, Unity, and Individuality: Towards a Formal Toolkit for Ontological Analysis , 2000, ECAI.

[24]  Michael Uschold,et al.  Ontologies: principles, methods and applications , 1996, The Knowledge Engineering Review.

[25]  Steffen Staab,et al.  Semantic community Web portals , 2000, Comput. Networks.

[26]  Dieter Fensel,et al.  Ontobroker: The Very High Idea , 1998, FLAIRS.

[27]  Jeff Heflin,et al.  Searching the Web with SHOE , 2000 .

[28]  Oren Etzioni,et al.  Adaptive Web Sites: Conceptual Cluster Mining , 1999, IJCAI.

[29]  Matthias Baumgarten,et al.  Gaining Insights into Web Customers using Web Intelligence , 2000, ECAI.

[30]  Steffen Staab,et al.  Discovering Conceptual Relations from Text , 2000, ECAI.

[31]  Steffen Staab,et al.  Semantic Patterns , 2000 .

[32]  Martin van den Berg,et al.  Focused Crawling: A New Approach to Topic-Specific Web Resource Discovery , 1999, Comput. Networks.

[33]  Roy Rada,et al.  Development and application of a metric on semantic nets , 1989, IEEE Trans. Syst. Man Cybern..

[34]  Eduard Hovy,et al.  Combining and standardizing large- scale, practical ontologies for machine tranlation and other uses , 1998, LREC.