Ontology Learning And Population Bridging The Gap Between Text And Knowledge

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Ontology Learning and Population

Author : Paul Buitelaar,Philipp Cimiano
Publisher : IOS Press
Page : 292 pages
File Size : 50,7 Mb
Release : 2008
Category : Computers
ISBN : 9781586038182

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Ontology Learning and Population by Paul Buitelaar,Philipp Cimiano Pdf

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

Author : Paul Buitelaar,Philipp Cimiano
Publisher : Unknown
Page : 273 pages
File Size : 55,6 Mb
Release : 2008
Category : Artificial intelligence
ISBN : 1433711303

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Ontology Learning and Population by Paul Buitelaar,Philipp Cimiano Pdf

Ontology Learning and Population: Bridging the Gap Between Text and Knowledge

Author : P. Buitelaar,P. Cimiano
Publisher : IOS Press
Page : 292 pages
File Size : 55,7 Mb
Release : 2008-01-31
Category : Computers
ISBN : 9781607502968

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Ontology Learning and Population: Bridging the Gap Between Text and Knowledge by P. Buitelaar,P. Cimiano Pdf

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.

Ontology Learning and Population from Text

Author : Philipp Cimiano
Publisher : Springer Science & Business Media
Page : 362 pages
File Size : 49,9 Mb
Release : 2006-12-11
Category : Computers
ISBN : 9780387392523

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Ontology Learning and Population from Text by Philipp Cimiano Pdf

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 Seeker - Ontology Modelling for Information Search and Management

Author : Edward H. Y. Lim,James N. K. Liu,Raymond S.T. Lee
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 41,8 Mb
Release : 2011-01-31
Category : Technology & Engineering
ISBN : 9783642179167

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Knowledge Seeker - Ontology Modelling for Information Search and Management by Edward H. Y. Lim,James N. K. Liu,Raymond S.T. Lee Pdf

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

Author : Georgios Paliouras,Constantine D. Spyropoulos,George Tsatsaronis
Publisher : Springer Science & Business Media
Page : 251 pages
File Size : 43,8 Mb
Release : 2011-05-19
Category : Computers
ISBN : 9783642207945

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Knowledge-Driven Multimedia Information Extraction and Ontology Evolution by Georgios Paliouras,Constantine D. Spyropoulos,George Tsatsaronis Pdf

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

Author : Fernando Bobillo,Paulo Cesar G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Thomas Lukasiewicz,Matthias Nickles,Michael Pool
Publisher : Springer
Page : 331 pages
File Size : 54,9 Mb
Release : 2013-01-09
Category : Computers
ISBN : 9783642359750

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Uncertainty Reasoning for the Semantic Web II by Fernando Bobillo,Paulo Cesar G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Thomas Lukasiewicz,Matthias Nickles,Michael Pool Pdf

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.

Knowledge-Driven Multimedia Information Extraction and Ontology Evolution

Author : Georgios Paliouras,Constantine D. Spyropoulos,George Tsatsaronis
Publisher : Springer
Page : 245 pages
File Size : 49,7 Mb
Release : 2011-05-06
Category : Computers
ISBN : 9783642207952

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Knowledge-Driven Multimedia Information Extraction and Ontology Evolution by Georgios Paliouras,Constantine D. Spyropoulos,George Tsatsaronis Pdf

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 : Anonim
Publisher : IOS Press
Page : 4947 pages
File Size : 40,6 Mb
Release : 2024-06-16
Category : Electronic
ISBN : 8210379456XXX

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by Anonim Pdf

Universal Access in Human-Computer Interaction. Design for All and eInclusion

Author : Constantine Stephanidis
Publisher : Springer
Page : 534 pages
File Size : 52,7 Mb
Release : 2011-06-27
Category : Computers
ISBN : 9783642216725

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Universal Access in Human-Computer Interaction. Design for All and eInclusion by Constantine Stephanidis Pdf

The four-volume set LNCS 6765-6768 constitutes the refereed proceedings of the 6th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2011, held as Part of HCI International 2011, in Orlando, FL, USA, in July 2011, jointly with 10 other conferences addressing the latest research and development efforts and highlighting the human aspects of design and use of computing systems. The 57 revised papers included in the first volume were carefully reviewed and selected from numerous submissions. The papers are organized in the following topical sections: design for all methods and tools; Web accessibility: approaches, methods and tools; multimodality, adaptation and personlization; and eInclusion policy, good practice, legislation and security issues.

Perspectives on Ontology Learning

Author : J. Lehmann,J. Völker
Publisher : IOS Press
Page : 299 pages
File Size : 54,9 Mb
Release : 2014-04-03
Category : Computers
ISBN : 9781614993797

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Perspectives on Ontology Learning by J. Lehmann,J. Völker Pdf

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.

Uncertainty Reasoning for the Semantic Web I

Author : Paulo C. G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Matthias Nickles,Michael Pool
Publisher : Springer Science & Business Media
Page : 416 pages
File Size : 51,6 Mb
Release : 2008-12-02
Category : Computers
ISBN : 9783540897644

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Uncertainty Reasoning for the Semantic Web I by Paulo C. G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Matthias Nickles,Michael Pool Pdf

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.

On the Move to Meaningful Internet Systems: OTM 2010

Author : Robert Meersman,Tharam Dillon,Pilar Herrero
Publisher : Springer
Page : 466 pages
File Size : 54,7 Mb
Release : 2010-10-06
Category : Computers
ISBN : 9783642169496

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On the Move to Meaningful Internet Systems: OTM 2010 by Robert Meersman,Tharam Dillon,Pilar Herrero Pdf

Annotation The two-volume set of LNCS 6426/6427 constitutes the refereed proceedings of 3 confederated international conferences on CoopIS (Cooperative Information Systems), DOA (Distributed Objects and Applications) and ODBASE (Ontologies, DataBases and Applications of SEmantics). These conferences were held in October 2009 in Greece, in Hersonissos on the island of Crete. CoopIS is covering the applications of technologies in an enterprice context as workflow systems and knowledge management. DOA is covering the relevant infrastructure-enabling technologies and finally, OSBASe is covering WEB semantics, XML databases and ontologies. The 83 revised full papers presented together with 3 keynote talks were carefully reviewed and selected from a total of 223 submissions. Corresponding to the OTM main conferences the papers are organized in topical sections on process models and management, modeling of cooperation, services computing, information processing and management, human-based cooperative systems, ontology and workflow challenges, access control, authentication and policies, secure architectures, cryptography, data storage and processing, transaction and event management, virtualization performance, risk and scalability, cloud and distributed system security, reactivity and semantic data, ontology mapping and semantic similarity, domain specific ontologies.

Text Mining

Author : Chris Biemann,Alexander Mehler
Publisher : Springer
Page : 238 pages
File Size : 52,6 Mb
Release : 2014-12-19
Category : Computers
ISBN : 9783319126555

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Text Mining by Chris Biemann,Alexander Mehler Pdf

This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data is a prerequisite to build lexical resources such as dictionaries and ontologies and also has direct applications in automated text processing in fields such as history, healthcare and mobile applications, just to name a few. This volume gives an update in terms of the recent gains in text mining methods and reflects the most recent achievements with respect to the automatic build-up of large lexical resources. It addresses researchers that already perform text mining, and those who want to enrich their battery of methods. Selected articles can be used to support graduate-level teaching. The book is suitable for all readers that completed undergraduate studies of computational linguistics, quantitative linguistics, computer science and computational humanities. It assumes basic knowledge of computer science and corpus processing as well as of statistics.

Natural Language Processing and Information Systems

Author : Christina J Hopfe,Yacine Rezgui,Elisabeth Métais,Alun Preece,Haijiang Li
Publisher : Springer
Page : 327 pages
File Size : 41,6 Mb
Release : 2010-06-20
Category : Computers
ISBN : 9783642138812

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Natural Language Processing and Information Systems by Christina J Hopfe,Yacine Rezgui,Elisabeth Métais,Alun Preece,Haijiang Li Pdf

th The 15 International Conference on Applications of Natural Language to Information Systems (NLDB 2010) took place during June 23–25 in Cardiff (UK). Since the first edition in 1995, the NLDB conference has been aiming at bringing together resear- ers, people working in industry and potential users interested in various applications of natural language in the database and information system area. However, in order to reflect the growing importance of accessing information from a diverse collection of sources (Web, Databases, Sensors, Cloud) in an equally wide range of contexts (- cluding mobile and tethered), the theme of the 15th International Conference on - plications of Natural Language to Information Systems 2010 was "Communicating with Anything, Anywhere in Natural Language. " Natural languages and databases are core components in the development of inf- mation systems. Natural language processing (NLP) techniques may substantially enhance most phases of the information system lifecycle, starting with requirement analysis, specification and validation, and going up to conflict resolution, result pr- essing and presentation. Furthermore, natural language-based query languages and user interfaces facilitate the access to information for all and allow for new paradigms in the usage of computerized services. Hot topics such as information retrieval (IR), software engineering applications, hidden Markov models, natural language interfaces and semantic networks and graphs imply a complete fusion of databases, IR and NLP techniques.