Semantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, and Human Language Technologies. Cet article n’est pas disponible.
Langue : anglais
Edité par Springer, 2009
- Livre relié
- Neuf
Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
Vendeur AbeBooks depuis 25 mars 2015
Etat: Neuf
EUR 68,95
A propos de cet article
In English.
N° de réf. du vendeur ria9783540888444_new
- Titre
- Semantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, and Human Language Technologies
- Éditeur
- Springer
- Année de publication
- 2009
- État de l'article
- New
- Reliure
- Couverture rigide
- Langue
- anglais
- ISBN à 10 chiffres
- 3540888446
- ISBN à 13 chiffres
- 9783540888444
- Poids de l'article
- 668 grammes
The contributors here offer a concise vision of semantic knowledge management, ranging from knowledge acquisition to knowledge integration, and their applications in domains such as telecommunications, social networks and legal information processing.
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
À propos de l’auteur
Dr John Davies leads the Next Generation Web research division at BT. Current interests centre around the application of semantic web and Web 2.0 technology to knowledge management, business intelligence, information integration and service-oriented environments. He is chairman of the European Semantic Technology Conference series (www.estc2007.org) and co-organiser of the ESWC conference series and has written and edited many papers and books in the area of semantic technology and its business applications, web-based information management and knowledge management. He also received the BT Technology Award for Technology Entrepreneurship for his contribution to the creation of Infonic.
Dr. Dunja Mladenic works as a researcher at the Department of Knowledge Technologies of the J. Stefan Institute, Ljubljana, Slovenia since 1992 and is an expert in Machine Learning, Data Mining and Text Mining techniques and their application to real-world problems in different areas such as publishing, medicine, pharmacology, manufacturing, economy. Her current research focuses on data analysis, with particular interest in learning from Text and the Web including personal intelligent agents. She has edited many books and papers in refereed conferences and journals.
Marko Grobelnik is an expert in analysis of large amounts of complex data with the purpose to extract useful knowledge. In particular, his areas of expertise comprise: Data Mining, Text Mining, Information Extraction, Link Analysis, and Data Visualization as well as more integrative areas such as Semantic Web, Knowledge Management and Artificial Intelligence. Apart from research on theoretical aspects of unconventional data analysis techniques, he has valuable experience in the field of practical applications and development of business solutions based on the innovative technologies. He has published many papers in refereed conferences and journals.« A propos de ce titre » peut appartenir à une autre édition de cet ouvrage.