- From: Armando Stellato <stellato@info.uniroma2.it>
- Date: Mon, 18 Jun 2012 21:52:13 +0200
- To: "Semantic Web Mailing List" <semantic-web@w3.org>, "LOD Mailing List" <public-lod@w3.org>
- Cc: "Maria Teresa Pazienza" <pazienza@info.uniroma2.it>
- Message-ID: <00e801cd4d8b$dc26b6d0$94742470$@uniroma2.it>
Apologies for cross-postings --------------------------------------------------------------------------- "Semi-Automatic Ontology Development: Processes and Resources" book announcement --------------------------------------------------------------------------- We are pleased to announce that the book entitled "Semi-Automatic Ontology Development: Processes and Resources" has been published by IGI-GLOBAL in Spring 2012. Editors: Maria Teresa Pazienza, Armando Stellato University of Roma Tor Vergata You can find book details at http://www.igi-global.com/book/semi-automatic-ontology-development/58294#tab le-of-contents Abstract: The exploitation of theoretical results in knowledge representation, language standardization by W3C and data publication initiatives such as Linked Open Data have given a level of concreteness to the field of ontology research. In light of these recent outcomes, ontology development has also found its way to the forefront, benefiting from years of R&D on development tools. This book aims to provide relevant theoretical frameworks and the latest empirical research findings in the ontology development and knowledge acquisition areas. It has been thought and written for researchers willing to find new scientific approaches on knowledge acquisition and management as well as for professionals who want to improve their understanding of these aspects. The book is organized into three main sections: "Knowledge Acquisition Systems" "Resource Adoption and Reuse to Build Ontologies" "Semantic Repositories and Relevant Resources Supporting Ontology Development" representing smoothly distinct aspects of Knowledge Acquisition and Evolution. For each of them, relevant contributions from researchers and practitioners in the areas are provided. Covered Topics: Data Mining and Ontology Population Interoperability between Tools Knowledge Acquisition and Data Entry Knowledge Engineering Language Engineering Linguistic Knowledge Acquisition Ontology Development Ontology Engineering Frameworks Ontology Learning Ontology Population by Text Processing Kind regards, Armando Stellato (http://art.uniroma2.it/stellato/)
Received on Monday, 18 June 2012 19:53:00 UTC