Vladimir Alexiev; Michael Breu; Jos de Bruijn; Dieter Fensel; Ruben Lara; Holger Lausen John Wiley & Sons Inc (2005) Saatavuus: Painos loppu Kovakantinen kirja
Dieter Fensel; Holger Lausen; Axel Polleres; Jos de Bruijn; Michael Stollberg; Dumitru Roman; John Domingue Springer (2006) Saatavuus: Tilaustuote Kovakantinen kirja
Dieter Fensel; Holger Lausen; Axel Polleres; Jos de Bruijn; Michael Stollberg; Dumitru Roman; John Domingue Springer (2010) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Dieter Fensel; Federico Michele Facca; Elena Simperl; Ioan Toma Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2011) Saatavuus: Tilaustuote Kovakantinen kirja
Dieter Fensel; Federico Michele Facca; Elena Simperl; Ioan Toma Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2014) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Dieter Fensel; Umutcan Şimşek; Kevin Angele; Elwin Huaman; Elias Kärle; Oleksandra Panasiuk; Ioan Toma; Jürgen Umbrich Springer Nature Switzerland AG (2020) Saatavuus: Tilaustuote Pehmeäkantinen kirja
John Wiley & Sons Inc Sivumäärä: 208 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2005, 25.02.2005 (lisätietoa) Kieli: Englanti
Disparate information, spread over various sources, in various formats, and with inconsistent semantics is a major obstacle for enterprises to use this information at its full potential. Information Grids should allow for the effective access, extraction and linking of dispersed information. Currently Europe’s coporations spend over 10 Billion € to deal with these problems. This book will demonstrate the applicability of grid technologies to industry. To this end, it gives a detailed insight on how ontology technology can be used to manage dispersed information assets more efficiently. The book is based on experiences from the COG (Corporate Ontology Grid) project, carried out jointly by three leading industrial players and the Digital Enterprise Research Institute Austria. Through comparisons of this project with alternative technologies and projects, it provides hands-on experience and best practice examples to act as a reference guide for their development.
Information Integration with Ontologies: Ontology based Information Integration in an Industrial Setting is ideal for technical experts and computer researchers in the IT-area looking to achieve integration of heterogeneous information and apply ontology technologies and techniques in practice. It will also be of great benefit to technical decision makers seeking information about ontology technologies and the scientific audience, interested in achievements towards the application of ontologies in an industrial setting.