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Content

Short Papers * A Database Backend for OWL, Jörg Henss, Joachim Kleb and Stephan Grimm. * Unifying SysML and OWL, Henson Graves. * The OWLlink Protocol, Thorsten Liebig, Marko Luther and Olaf Noppens. * A Reasoning Broker Framework for OWL, Juergen Bock, Tuvshintur Tserendorj, Yongchun Xu, Jens Wissmann and Stephan Grimm. * Change Representation For OWL 2 Ontologies, Raul Palma, Peter Haase, Oscar Corcho and Asunción Gómez-Pérez. * Practical Aspects of Query Rewriting for OWL 2, Héctor Pérez-Urbina, Ian Horrocks and Boris Motik. * CSage: Use of a Configurable Semantically Attributed Graph Editor as Framework for Editing and Visualization, Lawrence Levin. * A Conformance Test Suite for the OWL 2 RL/RDF Rules Language and the OWL 2 RDF-Based Semantics, Michael Schneider and Kai Mainzer. * Improving the Data Quality of Relational Databases using OBDA and OWL 2 QL, Olivier Cure. * Temporal Classes and OWL, Natalya Keberle. * Using Ontologies for Medical Image Retrieval - An Experiment, Jasmin Opitz, Bijan Parsia and Ulrike Sattler. * Task Representation and Retrieval in an Ontology-Guided Modelling System, Yuan Ren, Jens Lemcke, Andreas Friesen, Tirdad Rahmani, Srdjan Zivkovic, Boris Gregorcic, Andreas Bartho, Yuting Zhao and Jeff Z. Pan. * A platform for reasoning with OWL-EL knowledge bases in a Peer-to-Peer environment, Alexander De Leon and Michel Dumontier. * Axiomé: a Tool for the Elicitation and Management of SWRL Rules, Saeed Hassanpour, Martin O'Connor and Amar Das. * SQWRL: A Query Language for OWL, Martin O'Connor and Amar Das. * Classifying ELH Ontologies In SQL Databases, Vincent Delaitre and Yevgeny Kazakov. * A Semantic Web Approach to Represent and Retrieve Information in a Corporate Memory, Ana B. Rios-Alvarado, R. Carolina Medina-Ramirez and Ricardo Marcelin-Jimenez. * Towards a Graphical Notation for OWL 2, Elisa Kendall, Roy Bell, Roger Burkhart, Mark Dutra and Evan Wallace.

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Footnote

What is, after all the FRBR model? The question is asked in the subtitle itself: is it a "hype or cureall?" It certainly is the talk of the day in libraries and similar institutions, a very popular topic for professional meetings, a challenging task for system vendors and food for thought for scholars both in terminology and in content. As for the solutions it offers, they enable simplified and more structured catalogues of large collections and perhaps easier ways to cataloguing resources of many different types. Once implemented in catalogues, the benefits will be both on the librarian's side and on the end user's side. According to Patrick LeBoeuf the model is a beginning and there are two directions for its development as far as the authors of the articles imply: the first, oriented to the configuration of FRANAR or FRAR, the second, oriented to what has already been established and defined as FRSAR (Functional Requirements for Subject Authority Records). The latter is meant to build a conceptual model for Group 3 entities within the FRBR framework related to the aboutness of the work and assist in an assessment of the potential for international sharing and use of subject authority data both within the library sector and beyond. A third direction, not present in the work considered, yet mentioned by the editor, is oriented towards the development of "the CIDOC CRM semantic model for cultural heritage information in museums and assimilated institutions" (p. 6). By merging the FRBR working group with the CIDOC CRM Special Interest Group a FRBR/CRM Harmonization Group has been created its scope being the "translation" of FRBR into object-oriented formalism. The work under review is the expected and welcome completion of the FRBR Final Report of 1998, addressing librarians, library science teaching staff, students, and library system vendors, a comprehensive source of information on theoretical aspects and practical application of the FRBR conceptual model. A good companion clarifying many FRBR issues the collection is remarkably well structured and offers a step-by-step insight into the model. An additional feature of the work is the very helpful index at the back of the book providing an easy access to the main topics discussed."

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Theme

Information

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Footnote

The book does achieve its aim of being a starting point for someone interested in the state of some areas of AI research at the beginning of the new millennium. The book's most irritating feature is the different writing styles of the authors. The book is organized as a collection of papers similar to a typical graduate survey course packet, and as a result the book does not possess a narrative flow. Also the book contains a number of other major weaknesses such as a lack of an introductory or concluding chapter. The book could greatly benefit from an introductory chapter that would introduce readers to the areas of AI, explain why such a book is needed, and explain why each author's research is important. The manner in which the book currently handles these issues is a preface that talks about some of the above issues in a superficial manner. Also such an introductory chapter could be used to expound an what level of AI mathematical and statistical knowledge is expected from readers in order to gain maximum benefit from this book. A concluding chapter would be useful to readers interested in the other areas of AI not covered by the book, as well as open issues common to all of the research presented. In addition, most of the contributors come exclusively from the computer science field, which heavily slants the work toward the computer science community. A great deal of the research presented is being used by a number of research communities outside of computer science, such as biotechnology and information technology. A wider audience for this book could have been achieved by including a more diverse range of authors showing the interdisciplinary nature of many of these fields. Also the book's editors state, "The reader is expected to have basic knowledge of AI at the level of an introductory course to the field" (p vii), which is not the case for this book. Readers need at least a strong familiarity with many of the core concepts within AI, because a number of the chapters are shallow and terse in their historical overviews. Overall, this book would be a useful tool for a professor putting together a survey course an AI research. Most importantly the book would be useful for eager graduate students in need of a starting point for their research for their thesis. This book is best suited as a reference guide to be used by individuals with a strong familiarity with AI."