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[book announcement] Semi-Automatic Ontology Development: Processes and Resources

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

 

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"Semi-Automatic Ontology Development: Processes and Resources"

 

book announcement

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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 19:52:51 GMT

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