Fuzzy Logic and the Semantic Web

This book, the first in the new series, shows how to play the game. Fuzzy Logic, and a great challenge. It covers the use of Fuzzy Logic in the Semantic Web. It finally opens the road to new systems with a high Web IQ.

Most of today's Web content is suitable for human consumption. The Semantic Web is presented in a way that is well-defined and meaningful. For example, within the Semantic Web, computers will understand the meaning of ontologies. But while the Semantic Web vision and research attracts attention, as long as it is used in real world knowledge. Fuzzy Logic and associated concepts and techniques (more generally, Soft Computing), has the Semantic Web. Fuzzy Logic will definitely be within the W3C.

In fact, Fuzzy Logic can not be ignored in a gap between human-understandable soft logic and machine-readable hard logic. None of the usual logical requirements can be guaranteed: it is no guarantee of consistency. To Fuzzy Logic focus. Can be covered with the Semantic Web (like XML, RDF, Description Logics, Conceptual Graphs, Ontologies).

Key features.

- Fuzzy Logic and the Semantic Web.

- Keynote chapter by Lotfi Zadeh.

- The Semantic Web is presently expected to be a major field of applications from Fuzzy Logic.

- It fills a seminar and faces the Semantic Web.

- It opens the road to new systems with a high Web IQ.

- Contributed chapters by Fuzzy Logic leading experts.

- Fuzzy Logic and the Semantic Web.

- Keynote chapter by Lotfi Zadeh.

- The Semantic Web is presently expected to be a major field of applications from Fuzzy Logic.

- It fills a seminar and faces the Semantic Web.

- It opens the road to new systems with a high Web IQ.

- Contributed chapters by Fuzzy Logic leading experts.

Dedicated to Prof. Zadeh.

Preface (Frank Van Harmelen).

Foreword (Elie Sanchez).

From Search Engines to Question Answering Systems-The Problems of World Knowledge, Relevance, Deduction and Precision (Lotfi A. Zadeh).

A perception-based search with fuzzy semantic (Chris Tseng and Toan Vu).

On the Expression of 'A Little More' (Christopher Thomas, Amit Sheth).

Fuzzy Data Mining for the Semantic Web: Building XML Mediator Schemas (A. Laurent, P. Poncelet, M. Teisseire).

Capturing basic semantics exploiting RDF-oriented classification (Vincenzo Loia and Sabrina Senatore).

Approximate Knowledge Graph retrieval: Measures and Realization (TH Cao, Dat T. Huynh).

Processing Fuzzy Information in Semantic Web Applications (Sebastian Kloeckner, Klaus Turowski, Uwe Weng).

Using Knowledge Trees for Semantic Web Querying (Ronald R. Yager).

Fuzzy Logic Aggregation for Semantic Web Search for the Best Answer (Peter Vojtas).

Evolving Ontologies for Intelligent Decision Support (Paulo Gottgtroy, Nikola Kasabov, Stephen MacDonell).

Soft Integration of information with Semantic Gaps (Trevor Martin).

Fuzzy ontologies for information retrieval on the WWW (David Parry).

Bottom-up Extraction and Maintenance of Ontology-based Metadata (Paolo Ceravolo, Angelo Corallo, Ernesto Damiani, Gianluca Elia, Marco Viviani, Antonio Zilli).

A fuzzy logic approach to information retrieval using an ontology-based representation of documents (Mustapha Baziz, Mohand Boughan, Gabriella Pasi, Henri Prade).

Fuzzy Relational Oncological Model in Information Search Systems (Rachel Pereira, Ivan Ricarte, Fernando Gomide).

Towards a Semantic Portal for Oncology using a Description Logic with Fuzzy Concrete Domains (Mathieu d'Aquin, Jean Lieber, Amedeo Napoli).

A Fuzzy Description Logic for the Semantic Web (Umberto Straccia).

Possibilistic uncertainty and fuzzy features in description logic. A preliminary discussion (Didier Dubois, Jérôme Mengin, Henri Prade).

What does mathematical fuzzy logic offer to description logic? (Petr Hajek).

Uncertainty and Description Logic Programs over Lattices (Umberto Straccia).

Fuzzy Quantification in Fuzzy Description Logics (Daniel Sanchez, Andrea GB Tettamanzi).

Enhancing the Power of the Internet using Fuzzy Logic-Based Web Intelligence: Beyond the Semantic Web (Masoud Nikravesh).