A Semantic Framework for Enterprise Knowledge Management
M. Ruffolo ()
Additional contact information
M. Ruffolo: CNR-ICAR
A chapter in Interdisciplinary Aspects of Information Systems Studies, 2008, pp 351-358 from Springer
Abstract:
Abstract This paper presents a semantic enterprise model-ling approach that allows the representation of enterprise knowledge by means of ontologies. The approach supports the analysis and design of KMSs and KM strategies by enabling the representation of Semantic Enterprise Models (SEM). A SEM expresses the enterprise knowledge by means of two interconnected ontologies: The Top Level Ontology (TLO) and the Core Enterprise Entities Ontology (CEKEO). The TLO contains concepts related to the different topics characterizing business activities, the CEEO describes organizational, business, technical, knowledge resources. The paper presents also a semantic annotation approach that allows to annotate Core Enterprise Entities (CEE) with respect to one or more TLO concepts. This way SEMs allow both to formally represent enterprise knowledge and to semi-automatically annotate CEE whit respect to relevant enterprise concepts. SEM can be used as kernel of a new family of Enterprise Knowledge Management Systems providing capabilities for semantically manage all the relevant enterprise knowledge resources.
Keywords: Knowledge Management; Knowledge Object; Ontology Concept; Semantic Framework; Semantic Metadata (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2010-2_43
Ordering information: This item can be ordered from
http://www.springer.com/9783790820102
DOI: 10.1007/978-3-7908-2010-2_43
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().