Semantic Knowledge Management: An Ontology-Based Framework

Semantic Knowledge Management: An Ontology-Based Framework

Indexed In: SCOPUS View 1 More Indices
Release Date: August, 2008|Copyright: © 2009 |Pages: 458
DOI: 10.4018/978-1-60566-034-9
ISBN13: 9781605660349|ISBN10: 1605660345|EISBN13: 9781605660356
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Description & Coverage
Description:

The massive quantity of data, information, and knowledge available in digital form on the web or within the organizational knowledge base requires a more effective way to control it. The Semantic Web and its growing complexity demands a resource for the understanding of proper tools for management.

Semantic Knowledge Management: An Ontology-Based Framework addresses the Semantic Web from an operative point of view using theoretical approaches, methodologies, and software applications as innovative solutions to true knowledge management. This advanced title provides readers with critical steps and tools for developing a semantic based knowledge management system.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Activity Theory
  • Automatic multimedia representation
  • Domain knowledge
  • E-business enhancement
  • Financial news analysis
  • Interaction in virtual communities
  • KIWI
  • Knowledge management implementation
  • Knowledge-based innovations
  • Office knowledge management
  • Ontology Engineering
  • Ontology learning system
  • Ontology-based framework
  • Personalized information retrieval
  • Project memories in organizations
  • Search Engines
  • Semantic based applications
  • Semantic in organizational knowledge management
  • Semantic knowledge management
  • Semantic virtual office
  • Semantic Web approach
  • Semantic Web system supporting e-learning
  • Semantic-based learning environment
  • Semantic-based P2P reputation systems
  • Software Agents
  • Travel support system
  • Web Infrastructure
  • Workflow management system
Reviews & Statements

Emergent semantics provides a natural solution as its definition is based on a process of finding stable agreements; constant evolution is part of the model and stable states, provided they exist, are autonomously detected. Also, emergent semantics techniques can be applied to detect and even predict changes and evolution in the state of an organization or a community.

– Antonio Zilli, University of Lecce

This book assembles 28 chapters that detail how to develop a semantic-based knowledge management system.

– Book News Inc. (Decemeber 2008)
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Editor/Author Biographies
Antonio Zilli graduated in physics. He is research fellow at e-business management section at the Scuola Superiore Isufi – Univeristy of Salento (Lecce, Italy). His research interests regard the technologies that enable powerful virtual collaboration in communities and organizations. He participated in research projects on semantic web studying how to represent and use ontologies and semantic descriptions, and participated at the design of technologies and tools for managing ontologies, semantic metadata and semantically annotated documents (semantic search engine). He participated in research projects on knowledge management in economic districts composed of organization and public administration. He participated on research projects on social network analysis as a strategy for monitoring and improving collaboration in wide teams and with a particular focus on the changes brought by the technological innovations. He is in the program board of the international conference on knowledge management in organization.
Ernesto Damiani is a full professor at the department of information technology of the university of Milan, Italy. He has held visiting positions at several international institutions, including George Mason University (USA), and is an adjunct professor at the University of Technology, (Australia). Prof. Damiani coordinates several research projects funded by the Italian ministry of research, the European commission and by a number of private companies including cisco, st microelectronics, siemens mobile and bt exact. His research interests include knowledge extraction and metadata design, advanced software architectures and soft computing. On these topics he has filed international patents and published more than 200 refereed papers in international journals and conferences. Ernesto Damiani is the vice-chair of the ifip wg on web semantics (wg 2.12) and the secretary of the ifip wg on open source systems (wg 2.13). He is the author, together with W. Grosky and R. Khosla, of the book “Human-Centered e-Business” (Kluwer 2003). In 2000, he was the recipient of acm sigapp outstanding service award.
Paolo Ceravolo (date of birth: October 13, 1977) holds a degree of laurea in philosophy from the philosophy department of the Catholic University of Milan (Italy) and a PhD in computer science from the department of information technologies of the University of Milan (Italy). Currently, he is an assistant professor at the same department. His research interests include ontology-based knowledge extraction and management, process measurement, semantic web technologies, emergent process applied to semantics, uncertain knowledge and soft computing. On these topics he has published several scientific papers and book chapters.

He is involved in the organization of different conferences such as: innovation in knowledge-based & intelligent engineering systems (KES), IEEE/IES conference on digital ecosystems and technologies (IEEE-DEST), knowledge management in organizations (KMO). Since 2008 he is secretary of the IFIP 2.6 working group on database semantics.

Angelo Corallo is researcher at the department of innovation engineering at the University of Lecce. He graduated in physics at the University of Lecce. He has been researcher at the osservatorio astronomico di capodimonte. He teaches within the master and PhD of scuola superiore isufi (University of Lecce) and PhD program in complex industrial systems. His research interests encompass mainly the co-evolution of technological and organizational innovation, with specific focus on business ecosystem, extended enterprise and on knowledge management and collaborative working environment in project based organizations. He has been and is currently involved in many research projects related with technological and organizational issues both at Italian and European level (knowledge hub, technological system for tourism and cultural heritage, multichannel adaptive information system, digital business ecosystem). Angelo collaborates with Massachusetts Institute of Technology in projects related to enterprise process modeling enabling business to e-business transition and social network analysis in community of innovation. He collaborates with the business enterprise integration domain task force of OMG in order to define an organizational metamodel supporting the architecture of business modelling framework.
Gianluca Elia is a researcher in knowledge and learning networks at the faculty of engineering – department of innovation engineering, University of Salento (Italy) and at the e-business management section (eBMS) of the scuola superiore isufi – University of Salento (Italy). After his degree in computer science engineering, he has completed the master studies in e-business management at the e-business management section (eBMS) of the scuola superiore isufi. His research field concerns the methodological and technological aspect of knowledge management and web learning processes and platforms. Moreover, he is responsible for some research projects involving Mediterranean countries in experimenting innovative approaches of human capital creation through the usage of internet based technologies.
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