Ontology Learning And Population Bridging The Gap Between Text And Knowledge
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Ontology Learning And Population
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Author : Paul Buitelaar
language : en
Publisher: IOS Press
Release Date : 2008
Ontology Learning And Population written by Paul Buitelaar and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
The promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web page. The presence of this information will allow software agents to examine pages and to make decisions about content as humans are able to do now. The classic method of building an ontology is to gather a committee of experts in the domain to be modeled by the ontology, and to have this committee.
Ontology Learning And Population
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Author : Paul Buitelaar
language : en
Publisher:
Release Date : 2008
Ontology Learning And Population written by Paul Buitelaar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Artificial intelligence categories.
Ontology Learning And Population Bridging The Gap Between Text And Knowledge
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Author : P. Buitelaar
language : en
Publisher: IOS Press
Release Date : 2008-01-31
Ontology Learning And Population Bridging The Gap Between Text And Knowledge written by P. Buitelaar and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-31 with Computers categories.
The promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web page. The presence of this information will allow software agents to examine pages and to make decisions about content as humans are able to do now. The classic method of building an ontology is to gather a committee of experts in the domain to be modeled by the ontology, and to have this committee agree on which concepts cover the domain, on which terms describe which concepts, on what relations exist between each concept and what the possible attributes of each concept are. All ontology learning systems begin with an ontology structure, which may just be an empty logical structure, and a collection of texts in the domain to be modeled. An ontology learning system can be seen as an interplay between three things: an existing ontology, a collection of texts, and lexical syntactic patterns. The Semantic Web will only be a reality if we can create structured, unambiguous ontologies that model domain knowledge that computers can handle. The creation of vast arrays of such ontologies, to be used to mark-up web pages for the Semantic Web, can only be accomplished by computer tools that can extract and build large parts of these ontologies automatically. This book provides the state-of-art of many automatic extraction and modeling techniques for ontology building. The maturation of these techniques will lead to the creation of the Semantic Web.
Knowledge Driven Multimedia Information Extraction And Ontology Evolution
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Author : Georgios Paliouras
language : en
Publisher: Springer
Release Date : 2011-05-06
Knowledge Driven Multimedia Information Extraction And Ontology Evolution written by Georgios Paliouras and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-06 with Computers categories.
This book presents the state of the art in the areas of ontology evolution and knowledge-driven multimedia information extraction, placing an emphasis on how the two can be combined to bridge the semantic gap. This was also the goal of the EC-sponsored BOEMIE (Bootstrapping Ontology Evolution with Multimedia Information Extraction) project, to which the authors of this book have all contributed. The book addresses researchers and practitioners in the field of computer science and more specifically in knowledge representation and management, ontology evolution, and information extraction from multimedia data. It may also constitute an excellent guide to students attending courses within a computer science study program, addressing information processing and extraction from any type of media (text, images, and video). Among other things, the book gives concrete examples of how several of the methods discussed can be applied to athletics (track and field) events.
Ontology Learning And Population From Text
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Author : Philipp Cimiano
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-12-11
Ontology Learning And Population From Text written by Philipp Cimiano and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-11 with Computers categories.
In the last decade, ontologies have received much attention within computer science and related disciplines, most often as the semantic web. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications discusses ontologies for the semantic web, as well as knowledge management, information retrieval, text clustering and classification, as well as natural language processing. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications is structured for research scientists and practitioners in industry. This book is also suitable for graduate-level students in computer science.
Knowledge Driven Multimedia Information Extraction And Ontology Evolution
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Author : Georgios Paliouras
language : en
Publisher: Springer
Release Date : 2011-05-27
Knowledge Driven Multimedia Information Extraction And Ontology Evolution written by Georgios Paliouras and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-27 with Computers categories.
This book presents the state of the art in the areas of ontology evolution and knowledge-driven multimedia information extraction, placing an emphasis on how the two can be combined to bridge the semantic gap. This was also the goal of the EC-sponsored BOEMIE (Bootstrapping Ontology Evolution with Multimedia Information Extraction) project, to which the authors of this book have all contributed. The book addresses researchers and practitioners in the field of computer science and more specifically in knowledge representation and management, ontology evolution, and information extraction from multimedia data. It may also constitute an excellent guide to students attending courses within a computer science study program, addressing information processing and extraction from any type of media (text, images, and video). Among other things, the book gives concrete examples of how several of the methods discussed can be applied to athletics (track and field) events.
Knowledge Seeker Ontology Modelling For Information Search And Management
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Author : Edward H. Y. Lim
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-31
Knowledge Seeker Ontology Modelling For Information Search And Management written by Edward H. Y. Lim and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-31 with Technology & Engineering categories.
The Knowledge Seeker is a useful system to develop various intelligent applications such as ontology-based search engine, ontology-based text classification system, ontological agent system, and semantic web system etc. The Knowledge Seeker contains four different ontological components. First, it defines the knowledge representation model ¡V Ontology Graph. Second, an ontology learning process that based on chi-square statistics is proposed for automatic learning an Ontology Graph from texts for different domains. Third, it defines an ontology generation method that transforms the learning outcome to the Ontology Graph format for machine processing and also can be visualized for human validation. Fourth, it defines different ontological operations (such as similarity measurement and text classification) that can be carried out with the use of generated Ontology Graphs. The final goal of the KnowledgeSeeker system framework is that it can improve the traditional information system with higher efficiency. In particular, it can increase the accuracy of a text classification system, and also enhance the search intelligence in a search engine. This can be done by enhancing the system with machine processable ontology.
Knowledge Driven Multimedia Information Extraction And Ontology Evolution
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Author : Georgios Paliouras
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-19
Knowledge Driven Multimedia Information Extraction And Ontology Evolution written by Georgios Paliouras and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-19 with Computers categories.
This book presents the state of the art in the areas of ontology evolution and knowledge-driven multimedia information extraction, placing an emphasis on how the two can be combined to bridge the semantic gap. This was also the goal of the EC-sponsored BOEMIE (Bootstrapping Ontology Evolution with Multimedia Information Extraction) project, to which the authors of this book have all contributed. The book addresses researchers and practitioners in the field of computer science and more specifically in knowledge representation and management, ontology evolution, and information extraction from multimedia data. It may also constitute an excellent guide to students attending courses within a computer science study program, addressing information processing and extraction from any type of media (text, images, and video). Among other things, the book gives concrete examples of how several of the methods discussed can be applied to athletics (track and field) events.
Uncertainty Reasoning For The Semantic Web Ii
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Author : Fernando Bobillo
language : en
Publisher: Springer
Release Date : 2013-01-09
Uncertainty Reasoning For The Semantic Web Ii written by Fernando Bobillo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-09 with Computers categories.
This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2008, 2009, and 2010 or presented at the first international Workshop on Uncertainty in Description Logics (UniDL), held at the Federated Logic Conference (FLoC) in 2010. The 17 papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.
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language : en
Publisher: IOS Press
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written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.