Approaches to Semantics in Knowledge Management

View Sample PDF

Author(s): Cristiano Fugazza (University of Milan, Italy), Stefano David (Polytechnic University of Marche, Italy), Anna Montesanto (Polytechnic University of Marche, Italy)and Cesare Rocchi (Polytechnic University of Marche, Italy)
Copyright: 2009
Pages: 26
Source title: Semantic Knowledge Management: An Ontology-Based Framework
Source Author(s)/Editor(s): Antonio Zilli (University of Salento, Italy), Ernesto Damiani (University of Milan, Italy), Paolo Ceravolo (University of Milan, Italy), Angelo Corallo (University of Salento, Italy)and Gianluca Elia (University of Salento, Italy)
DOI: 10.4018/978-1-60566-034-9.ch007

Keywords: Information Science Reference / Knowledge Management / Library & Information Science

Purchase

View Approaches to Semantics in Knowledge Management on the publisher's website for pricing and purchasing information.

Abstract

There are different approaches to modeling a computational system, each providing different semantics. We present a comparison among different approaches to semantics and we aim at identifying which peculiarities are needed to provide a system with uniquely interpretable semantics. We discuss different approaches, namely, Description Logics, Artificial Neural Networks, and relational database management systems. We identify classification (the process of building a taxonomy) as common trait. However, in this chapter we also argue that classification is not enough to provide a system with a Semantics, which emerges only when relations among classes are established and used among instances. Our contribution also analyses additional features of the formalisms that distinguish the approaches: closed versus. open world assumption, dynamic versus. static nature of knowledge, the management of knowledge, and the learning process.

The IRMA Community

Research IRM

Approaches to Semantics in Knowledge Management

Purchase

Abstract

Related Content

IRMA Sponsors