Ontology Learning And Population Bridging The Gap Between Text And Knowledge PDF Download
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Author | : Paul Buitelaar |
Publisher | : IOS Press |
Total Pages | : 292 |
Release | : 2008 |
Genre | : Computers |
ISBN | : 1586038184 |
Download Ontology Learning and Population Book in PDF, ePub and Kindle
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 | : |
Total Pages | : 273 |
Release | : 2008 |
Genre | : Artificial intelligence |
ISBN | : 9781433711305 |
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Author | : P. Buitelaar |
Publisher | : IOS Press |
Total Pages | : 292 |
Release | : 2008-01-31 |
Genre | : Computers |
ISBN | : 1607502968 |
Download Ontology Learning and Population: Bridging the Gap Between Text and Knowledge Book in PDF, ePub and Kindle
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 | : Philipp Cimiano |
Publisher | : Springer Science & Business Media |
Total Pages | : 362 |
Release | : 2006-12-11 |
Genre | : Computers |
ISBN | : 0387392521 |
Download Ontology Learning and Population from Text Book in PDF, ePub and Kindle
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 | : |
Publisher | : IOS Press |
Total Pages | : 4947 |
Release | : |
Genre | : |
ISBN | : |
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Author | : J. Lehmann |
Publisher | : IOS Press |
Total Pages | : 299 |
Release | : 2014-04-03 |
Genre | : Computers |
ISBN | : 1614993793 |
Download Perspectives on Ontology Learning Book in PDF, ePub and Kindle
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 | : Georgios Paliouras |
Publisher | : Springer |
Total Pages | : 251 |
Release | : 2011-05-06 |
Genre | : Computers |
ISBN | : 3642207952 |
Download Knowledge-Driven Multimedia Information Extraction and Ontology Evolution Book in PDF, ePub and Kindle
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 | : Georgios Paliouras |
Publisher | : Springer Science & Business Media |
Total Pages | : 251 |
Release | : 2011-05-19 |
Genre | : Computers |
ISBN | : 3642207944 |
Download Knowledge-Driven Multimedia Information Extraction and Ontology Evolution Book in PDF, ePub and Kindle
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 | : Paulo C. G. Costa |
Publisher | : Springer Science & Business Media |
Total Pages | : 416 |
Release | : 2008-12-02 |
Genre | : Computers |
ISBN | : 354089764X |
Download Uncertainty Reasoning for the Semantic Web I Book in PDF, ePub and Kindle
This book constitutes the thoroughly refereed first three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2005, 2006, and 2007. The 22 papers presented are revised and strongly extended versions of selected workshops papers as well as invited contributions from leading experts in the field and closely related areas. The present volume represents the first comprehensive compilation of state-of-the-art research approaches to uncertainty reasoning in the context of the semantic Web, capturing different models of uncertainty and approaches to deductive as well as inductive reasoning with uncertain formal knowledge.
Author | : John Domingue |
Publisher | : Springer Science & Business Media |
Total Pages | : 1077 |
Release | : 2011-06-19 |
Genre | : Computers |
ISBN | : 3540929126 |
Download Handbook of Semantic Web Technologies Book in PDF, ePub and Kindle
After years of mostly theoretical research, Semantic Web Technologies are now reaching out into application areas like bioinformatics, eCommerce, eGovernment, or Social Webs. Applications like genomic ontologies, semantic web services, automated catalogue alignment, ontology matching, or blogs and social networks are constantly increasing, often driven or at least backed up by companies like Google, Amazon, YouTube, Facebook, LinkedIn and others. The need to leverage the potential of combining information in a meaningful way in order to be able to benefit from the Web will create further demand for and interest in Semantic Web research. This movement, based on the growing maturity of related research results, necessitates a reliable reference source from which beginners to the field can draw a first basic knowledge of the main underlying technologies as well as state-of-the-art application areas. This handbook, put together by three leading authorities in the field, and supported by an advisory board of highly reputed researchers, fulfils exactly this need. It is the first dedicated reference work in this field, collecting contributions about both the technical foundations of the Semantic Web as well as their main usage in other scientific fields like life sciences, engineering, business, or education.