Ontology Learning and Knowledge Discovery Using the Web

Ontology Learning and Knowledge Discovery Using the Web PDF Author: Mohammed Bennamoun
Publisher: IGI Global
ISBN: 9781609606251
Category : Computers
Languages : en
Pages : 0

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Book Description
"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"--

Ontology Learning and Knowledge Discovery Using the Web

Ontology Learning and Knowledge Discovery Using the Web PDF Author: Mohammed Bennamoun
Publisher: IGI Global
ISBN: 9781609606251
Category : Computers
Languages : en
Pages : 0

Get Book Here

Book Description
"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"--

Ontology Learning and Knowledge Discovery Using the Web

Ontology Learning and Knowledge Discovery Using the Web PDF Author: Wilson Wong
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
"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"--.

Ontology Learning for the Semantic Web

Ontology Learning for the Semantic Web PDF Author: Alexander Maedche
Publisher: Springer Science & Business Media
ISBN: 1461509254
Category : Computers
Languages : en
Pages : 253

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Book Description
Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ontology Learning for the Semantic Web includes a number of complementary disciplines that feed in different types of unstructured and semi-structured data. This data is necessary in order to support a semi-automatic ontology engineering process. Ontology Learning for the Semantic Web is designed for researchers and developers of semantic web applications. It also serves as an excellent supplemental reference to advanced level courses in ontologies and the semantic web.

Ontology Learning and Population

Ontology Learning and Population PDF Author: Paul Buitelaar
Publisher: IOS Press
ISBN: 1586038184
Category : Computers
Languages : en
Pages : 292

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Book Description
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.

Semantics, Web and Mining

Semantics, Web and Mining PDF Author: Markus Ackermann
Publisher: Springer
ISBN: 3540476989
Category : Computers
Languages : en
Pages : 206

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Book Description
This book constitutes the thoroughly refereed and extended post-proceedings of the joint European Web Mining Forum, EWMF 2005, and the International Workshop on Knowledge Discovery and Ontologies, KDO 2005, held in association with ECML/PKDD in Porto, Portugal in October 2005. The 10 revised full papers presented together with one invited paper and one particularly fitting contribution from KDO 2004 were carefully selected for inclusion in the book.

Semantic Knowledge Management

Semantic Knowledge Management PDF Author: John Francis Davies
Publisher: Springer Science & Business Media
ISBN: 3540888454
Category : Computers
Languages : en
Pages : 252

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Book Description
Despite its explosive growth over the last decade, the Web remains essentially a tool to allow humans to access information. Semantic Web technologies like RDF, OWL and other W3C standards aim to extend the Web’s capability through increased availability of machine-processable information. Davies, Grobelnik and Mladenic have grouped contributions from renowned researchers into four parts: technology; integration aspects of knowledge management; knowledge discovery and human language technologies; and case studies. Together, they offer a concise vision of semantic knowledge management, ranging from knowledge acquisition to ontology management to knowledge integration, and their applications in domains such as telecommunications, social networks and legal information processing. This book is an excellent combination of fundamental research, tools and applications in Semantic Web technologies. It serves the fundamental interests of researchers and developers in this field in both academia and industry who need to track Web technology developments and to understand their business implications.

Data Mining with Ontologies: Implementations, Findings, and Frameworks

Data Mining with Ontologies: Implementations, Findings, and Frameworks PDF Author: Nigro, Hector Oscar
Publisher: IGI Global
ISBN: 1599046202
Category : Computers
Languages : en
Pages : 312

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Book Description
"Prior knowledge in data mining is helpful for selecting suitable data and mining techniques, pruning the space of hypothesis, representing the output in a comprehensible way, and improving the overall method. This book examines methodologies and research for the development of ontological foundations for data mining to enhance the ability of ontology utilization and design"--Provided by publisher.

Perspectives on Ontology Learning

Perspectives on Ontology Learning PDF Author: J. Lehmann
Publisher: IOS Press
ISBN: 1614993793
Category : Computers
Languages : en
Pages : 299

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Book Description
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.

Applications and Practices in Ontology Design, Extraction, and Reasoning

Applications and Practices in Ontology Design, Extraction, and Reasoning PDF Author: G. Cota
Publisher: IOS Press
ISBN: 1643681435
Category : Computers
Languages : en
Pages : 244

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Book Description
Semantic Web technologies enable people to create data stores on the Web, build vocabularies, and write rules for handling data. They have been in use for several years now, and knowledge extraction and knowledge discovery are two key aspects investigated in a number of research fields which can potentially benefit from the application of semantic web technologies, and specifically from the development and reuse of ontologies. This book, Applications and Practices in Ontology Design, Extraction, and Reasoning, has as its main goal the provision of an overview of application fields for semantic web technologies. In particular, it investigates how state-of-the-art formal languages, models, methods, and applications of semantic web technologies reframe research questions and approaches in a number of research fields. The book also aims to showcase practical tools and background knowledge for the building and querying of ontologies. The first part of the book presents the state-of-the-art of ontology design, applications and practices in a number of communities, and in doing so it provides an overview of the latest approaches and techniques for building and reusing ontologies according to domain-dependent and independent requirements. Once the data is represented according to ontologies, it is important to be able to query and reason about them, also in the presence of uncertainty, vagueness and probabilities. The second part of the book covers some of the latest advances in the fields of ontology, semantics and reasoning, without losing sight of the book’s practical goals.

Semantic Web Technologies

Semantic Web Technologies PDF Author: John Davies
Publisher: John Wiley & Sons
ISBN: 0470030348
Category : Technology & Engineering
Languages : en
Pages : 326

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Book Description
The Semantic Web combines the descriptive languages RDF (Resource Description Framework) and OWL (Web Ontology Language), with the data-centric, customizable XML (eXtensible Mark-up Language) to provide descriptions of the content of Web documents. These machine-interpretable descriptions allow more intelligent software systems to be written, automating the analysis and exploitation of web-based information. Software agents will be able to create automatically new services from already published services, with potentially huge implications for models of e-Business. Semantic Web Technologies provides a comprehensive overview of key semantic knowledge technologies and research. The authors explain (semi-)automatic ontology generation and metadata extraction in depth, along with ontology management and mediation. Further chapters examine how Semantic Web technology is being applied in knowledge management (“Semantic Information Access”) and in the next generation of Web services. Semantic Web Technologies: Provides a comprehensive exposition of the state-of-the art in Semantic Web research and key technologies. Explains the use of ontologies and metadata to achieve machine-interpretability. Describes methods for ontology learning and metadata generation. Discusses ontology management and evolution, covering ontology change detection and propagation, ontology dependency and mediation. Illustrates the theoretical concepts with three case studies on industrial applications in digital libraries, the legal sector and the telecommunication industry. Graduate and advanced undergraduate students, academic and industrial researchers in the field will all find Semantic Web Technologies an essential guide to the technologies of the Semantic Web.