Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web

Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web Download PDF EPUB FB2

Th This volume contains the papers presented at the 13 International Conference on Knowledge Engineering and Knowledge Management (EKAW ) held in Sig enza, Spain, OctoberPapers were invited on topics related to Knowledge Acquisition, Knowledge Management, Ontologies, and the Semantic Web.

This book constitutes the refereed proceedings of the 8th International Conference on Knowledge Engineering and the Semantic Web, KESWheld Szczecin, Poland, in November The. This book constitutes the refereed proceedings of the 7th International Conference on Knowledge Engineering and the Semantic Web, KESWheld in Prague, Czech Republic, in September.

The papers included in this volume are thus drawn from a variety of research areas both at the cutting edge of research in ontologies and the Semantic Web and in the more traditionally grounded areas of knowledge engineering.

A Semantic Web service can be seen as the addition of semantic technologies to Web services to produce Web. Ontologies are now widely used in Knowledge Engineering, Artificial Intelligence and Computer Science; in applications related to knowledge management, natural language processing, e.

In computer science, information science and systems engineering, ontology engineering is a field which studies the methods and methodologies for building ontologies: formal representations of a set of concepts within a domain and the relationships between those a broader sense, this field also includes a knowledge.

This book constitutes the thoroughly refereed proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3Kheld in. With the current changes driven by the expansion of the World Wide Web, this book uses a different approach from other books on the market: it applies ontologies to electronically available information to improve the quality of knowledge management.

In computer science and information science, an ontology encompasses a representation, formal naming and definition of the categories, properties and relations between the concepts, data and entities that. Knowledge management (KM) is the process of creating, sharing, using and managing the knowledge and information of an organization.

It refers to a multidisciplinary approach to achieve organisational objectives by making the best use of knowledge. Ontology engineering in computer science and information science is a field which studies the methods and methodologies for building ontologies: formal representations of a set of concepts within a domain and the relationships between those concepts.A large-scale representation of abstract concepts such as actions, time, physical objects and beliefs would be an example of ontological engineering.

Towards the Semantic Web. John Davies, Dieter Fensel, Frank Van Harmelen. Artificial intelligence; Knowledge Representation and Reasoning; Research output: Book / Report › Book › Academic.

Legal Ontologies in Knowledge Engineering and Information Management Article (PDF Available) in Artificial Intelligence and Law 12(4) December with Reads How we measure 'reads'. Knowledge engineering and knowledge management: ontologies and the semantic web: 13th international conference, EKAWSigüenza, Spain, Octoberproceedings by European Knowledge.

Ontologies in the Software Engineering domain can improve the acquisition of knowledge in this field by providing a formal representation of this knowledge domain. When encoded in a XML-based format, ontologies can therefore be easily processed by a knowledge management system, an expert system or a browser so it is possible to facilitate the location of Software Engineering.

The central themes of the 14th International Conference on Knowledge Engineering and Knowledge Management (EKAW ) were ontological engineering and the Semantic Web. These provide the key foundational and delivery mechanisms for building open, Web-based knowledge.

Ontologies are now widely used in knowledge engineering, artificial intelligence and computer science; in applications related to areas such as knowledge management, natural language processing, e-commerce, intelligent information integration, bio-informatics, education; and in new emerging fields like the semantic web.

The book Reviews: 7. Ontologies are now widely used in Knowledge Engineering, Artificial Intelligence and Computer Science; in applications related to knowledge management, natural language processing, Reviews: 7.

Using the Web, we can build formal knowledge collaboratively, through shared specification of concepts, properties and relations. This book presents a software engineering approach to allow the specification of accurate domain ontologies through collaboration, considering ontological foundation and visual knowledge.

Ontologies as means for conceptualizing and structuring domain knowledge within a community of interest are seen as a key to realize the Semantic Web vision. However, the decentralized nature of the Web.

Also included are two invited papers. The papers address issues of knowledge acquisition (i.e., the process of extracting, creating, structuring knowledge, etc.), of knowledge-level modeling for knowledge-based systems, and of applying and redefining this work in a knowledge management and knowledge engineering.

Get this from a library! Knowledge engineering and knowledge management: ontologies and the semantic web: 13th international conference, EKAWSigüenza, Spain. Ontology-driven Knowledge Management. Author: John Davies,Dieter Fensel,Frank van Harmelen; Publisher: John Wiley & Sons ISBN: Category: Technology & Engineering Page: View: DOWNLOAD NOW» With the current changes driven by the expansion of the World Wide Web, this book uses a different approach from other books on the market: it applies ontologies .