Ontology Learning And Population


Ontology Learning And Population
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Ontology Learning And Population From Text


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.



Ontology Learning And Population


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


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 From Text


Ontology Learning From Text
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Author : Paul Buitelaar
language : en
Publisher: IOS Press
Release Date : 2005

Ontology Learning From Text 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 2005 with Computers categories.


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



Knowledge Driven Multimedia Information Extraction And Ontology Evolution


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.



Knowledge Driven Multimedia Information Extraction And Ontology Evolution


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.



Natural Language Processing For The Semantic Web


Natural Language Processing For The Semantic Web
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Author : Diana Maynard
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Natural Language Processing For The Semantic Web written by Diana Maynard and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Mathematics categories.


This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future.



Ontology Learning And Knowledge Discovery Using The Web


Ontology Learning And Knowledge Discovery Using The Web
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Author : Mohammed Bennamoun
language : en
Publisher: IGI Global
Release Date : 2011

Ontology Learning And Knowledge Discovery Using The Web written by Mohammed Bennamoun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.


"This book provides relevant theoretical foundations, and disseminates new research findings and expert views on the remaining challenges in ontology learning, discussing artificial intelligence, knowledge acquisition, knowledge representation and reasoning, text mining, information extraction, and ontology learning"--



Knowledge Discovery Knowledge Engineering And Knowledge Management


Knowledge Discovery Knowledge Engineering And Knowledge Management
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Author : Ana Fred
language : en
Publisher: Springer
Release Date : 2013-01-05

Knowledge Discovery Knowledge Engineering And Knowledge Management written by Ana Fred and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-05 with Computers categories.


This book constitutes the thoroughly refereed post-conference proceedings of the Second International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management, IC3K 2010, held in Valencia, Spain, in October 2010. This book includes revised and extended versions of a strict selection of the best papers presented at the conference; 26 revised full papers together with 2 invited lectures were carefully reviewed and selected from 369 submissions. According to the three covered conferences KDIR 2010, KEOD 2010, and KMIS 2010, the papers are organized in topical sections on knowledge discovery and information retrieval, knowledge engineering and ontology development, and on knowledge management and information sharing.



Learning Expressive Ontologies


Learning Expressive Ontologies
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Author : J. Völker
language : en
Publisher: IOS Press
Release Date : 2009-06-25

Learning Expressive Ontologies written by J. Völker and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-25 with Computers categories.


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.