Ontology Learning And Population

Author : Philipp Cimiano
Publisher : Springer Science & Business Media
ISBN 13 : 0387392521
Total Pages : 362 pages
Book Rating : 4.23/5 ( download)

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Download or read book Ontology Learning and Population from Text written by Philipp Cimiano and published by Springer Science & Business Media. This book was released on 2006-12-11 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : P. Buitelaar
Publisher : IOS Press
ISBN 13 : 1607502968
Total Pages : 292 pages
Book Rating : 4.68/5 ( download)

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Download or read book Ontology Learning and Population: Bridging the Gap Between Text and Knowledge written by P. Buitelaar and published by IOS Press. This book was released on 2008-01-31 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Paul Buitelaar
Publisher : IOS Press
ISBN 13 : 1586038184
Total Pages : 292 pages
Book Rating : 4.82/5 ( download)

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Download or read book Ontology Learning and Population written by Paul Buitelaar and published by IOS Press. This book was released on 2008 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Paul Buitelaar
Publisher : IOS Press
ISBN 13 : 9781586035235
Total Pages : 188 pages
Book Rating : 4.31/5 ( download)

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Download or read book Ontology Learning from Text written by Paul Buitelaar and published by IOS Press. This book was released on 2005 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest title in Black Library's premium line. Perturabo - master of siegecraft, and executioner of Olympia. Long has he lived in the shadow of his more favoured primarch brothers, frustrated by the mundane and ignominious duties which regularly fall to his Legion. When Fulgrim offers him the chance to lead an expedition in search of an ancient and destructive xenos weapon, the Iron Warriors and the Emperor's Children unite and venture deep into the heart of the great warp-rift known only as 'the Eye'. Pursued by a ragged band of survivors from Isstvan V and the revenants of a dead eldar world, they must work quickly if they are to unleash the devastating power of the Angel Exterminatus

Author : P. Buitelaar
Publisher :
ISBN 13 : 9786000005092
Total Pages : 0 pages
Book Rating : 4.91/5 ( download)

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Download or read book Ontology Learning and Population written by P. Buitelaar and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : J. Völker
Publisher : IOS Press
ISBN 13 : 161499336X
Total Pages : 274 pages
Book Rating : 4.60/5 ( download)

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Download or read book Learning Expressive Ontologies written by J. Völker and published by IOS Press. This book was released on 2009-06-25 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication advances the state-of-the-art in ontology learning by presenting a set of novel approaches to the semi-automatic acquisition, refinement and evaluation of logically complex axiomatizations. It has been motivated by the fact that the realization of the semantic web envisioned by Tim Berners-Lee is still hampered by the lack of ontological resources, while at the same time more and more applications of semantic technologies emerge from fast-growing areas such as e-business or life sciences. Such knowledge-intensive applications, requiring large scale reasoning over complex domains of interest, even more than the semantic web depend on the availability of expressive, high-quality axiomatizations. This knowledge acquisition bottleneck could be overcome by approaches to the automatic or semi-automatic construction of ontologies. Hence a huge number of ontology learning tools and frameworks have been developed in recent years, all of them aiming for the automatic or semi-automatic generation of ontologies from various kinds of data. However, both the quality and the expressivity of ontologies that can be acquired by the current state-of-the-art in ontology learning so far have failed to meet the expectations of people who argue in favor of powerful, knowledge-intensive applications based on logical inference. This work therefore takes a first, yet important, step towards the semi-automatic generation and maintenance of expressive ontologies.

Author : Radek Silhavy
Publisher : Springer Nature
ISBN 13 : 3030633195
Total Pages : 954 pages
Book Rating : 4.96/5 ( download)

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Download or read book Software Engineering Perspectives in Intelligent Systems written by Radek Silhavy and published by Springer Nature. This book was released on 2020-12-14 with total page 954 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th Computational Methods in Systems and Software 2020 (CoMeSySo 2020) proceedings. Software engineering, computer science and artificial intelligence are crucial topics for the research within an intelligent systems problem domain. The CoMeSySo 2020 conference is breaking the barriers, being held online. CoMeSySo 2020 intends to provide an international forum for the discussion of the latest high-quality research results.

Author : Georgios Paliouras
Publisher : Springer Science & Business Media
ISBN 13 : 3642207944
Total Pages : 251 pages
Book Rating : 4.45/5 ( download)

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Download or read book Knowledge-Driven Multimedia Information Extraction and Ontology Evolution written by Georgios Paliouras and published by Springer Science & Business Media. This book was released on 2011-05-19 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : J. Lehmann
Publisher : IOS Press
ISBN 13 : 1614993793
Total Pages : 299 pages
Book Rating : 4.97/5 ( download)

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Download or read book Perspectives on Ontology Learning written by J. Lehmann and published by IOS Press. This book was released on 2014-04-03 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perspectives on Ontology Learning brings together researchers and practitioners from different communities − natural language processing, machine learning, and the semantic web − in order to give an interdisciplinary overview of recent advances in ontology learning. Starting with a comprehensive introduction to the theoretical foundations of ontology learning methods, the edited volume presents the state-of-the-start in automated knowledge acquisition and maintenance. It outlines future challenges in this area with a special focus on technologies suitable for pushing the boundaries beyond the creation of simple taxonomical structures, as well as on problems specifically related to knowledge modeling and representation using the Web Ontology Language. Perspectives on Ontology Learning is designed for researchers in the field of semantic technologies and developers of knowledge-based applications. It covers various aspects of ontology learning including ontology quality, user interaction, scalability, knowledge acquisition from heterogeneous sources, as well as the integration with ontology engineering methodologies.

Author : Max Bramer
Publisher : Springer Science & Business Media
ISBN 13 : 1848000944
Total Pages : 394 pages
Book Rating : 4.40/5 ( download)

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Download or read book Research and Development in Intelligent Systems XXIV written by Max Bramer and published by Springer Science & Business Media. This book was released on 2007-12-03 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: An agent in a multi-agent system (MAS) has to generate plans for its individual goal, but these plans may con?ict with those that are already being scheduled or executed by other agents. It must also be able to complete its planning and resolution of these con?icts within a reasonable time to have an acceptable quality plan. Although we adopt hierarchical planning (HP, for example, see [7, 12]) using the decision-theoretic planning (DTP) approach [6] for ef?cient planning, it is not trivial to apply HPO to MAS. In HP, appropriate (abstract) plans are selected level by level to maximize the utility U (p), where where p is the expected ?nal plan comprising a sequence of primitive actions. However, in the MAS context, con?icts between agents affect the ef?ciency and quality of resulting plans. When a con?ict is found at lower levels, an additional sophisticated process for avoiding it (con?ict resolution) must be invoked and some extra actions (such as waiting for synchronization and detouring) may have to be added to the plan. The con?ict resolution process may become costly or fail. Even a single con?ict, if it is dif?cult to resolve, will result in a plan with considerably lower quality than it otherwise would have. As a result, in multi-agent systems, the second- or third-best plans may result in better overall performance.