Item description for Grading Knowledge: Extracting Degree Information from Texts by Steffen Staab...
This book develops concise and comprehensive concepts for extracting degree information from natural language texts. First, an overview of the ParseTalk information extraction system is given. Then, from the review of relevant linguistic literature, the author derives two distinct categories of natural language degree expressions and proposes knowledge-intensive algorithms to handle their analyses in the ParseTalk system. Moreover, for inferencing the author generalizes from well-known constraint propagation mechanisms. The concepts and methods developed are applied to text domains from medical diagnosis and information technology magazines. The conclusion of the book gives an integration of all three levels of understanding resulting in more advanced and more efficient information extraction mechanisms.
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Est. Packaging Dimensions: Length: 9.2" Width: 6.1" Height: 0.5" Weight: 0.6 lbs.
Release Date Jan 14, 2000
ISBN 3540669345 ISBN13 9783540669340
Availability 92 units. Availability accurate as of Oct 24, 2016 06:52.
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More About Steffen Staab
Dominik Kuropka works as technical product manager of the planningIT product for alfabet meta-modelling AG. Before this, he was the leader of the Adaptive Services Grid project, which is part of the basis of this book. His fields of interest are enterprise architecture modeling, planning and management as well as workflow management, service-oriented architectures, information retrieval and reference modeling.
Peter TrAger works as adjunct lecturer and researcher at the Blekinge Institute of Technology. His research interests are middleware-based distributed systems and operating systems with a focus on Grid Computing and service-oriented environments. Peter works as co-chair in the Open Grid Forum standardization body and collaborates with different industry partners in the area of Web service standards and SOA runtime governance.
Steffen Staab leads the research group on Information Systems and Semantic Web (ISWeb) at the University of Koblenz-Landau and is a co-founder of ontoprise GmbH. His interests lie in researching core technology for ontologies and semantic web as well as in applied research for exploiting these technologies for knowledge management, multimedia and software technology.
Mathias Weske is chair of the business process technology research group at the Hasso Plattner Institute of IT Systems Engineering at the University of Potsdam. His research interests include business process management, process choreographies, and service-oriented computing.