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Enterprise engineering using semantic technologies

Enterprise engineering using semantic technologies
Enterprise engineering using semantic technologies
Modern Enterprises are facing unprecedented challenges in every aspect of their businesses: from marketing research, invention of products, prototyping, production, sales to billing. Innovation is the key to enhancing enterprise performances and knowledge is the main driving force in creating innovation. The identification and effective management of valuable knowledge, however, remains an illusive topic. Knowledge management (KM) techniques, such as enterprise process modelling, have long been recognised for their value and practiced as part of normal business. There are plentiful of KM techniques. However, what is still lacking is a holistic KM approach that enables one to fully connect KM efforts with existing business knowledge and practices already in IT systems, such as organisational memories. To address this problem, we present an integrated three-dimensional KM approach that supports innovative semantics technologies. Its automated formal methods allow us to tap into modern business practices and capitalise on existing knowledge. It closes the knowledge management cycle with user feedback loops. Since we are making use of reliable existing knowledge and methods, new knowledge can be extracted with less effort comparing with another method where new information has to be created from scratch.
Chen-Burger, Jessica
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Kalfoglou, Yannis
d3d242fd-4ce2-4041-b8ea-aa3b3bec3b88
Chen-Burger, Jessica
27284b24-f82a-4794-a19f-92e01d778371
Kalfoglou, Yannis
d3d242fd-4ce2-4041-b8ea-aa3b3bec3b88

Chen-Burger, Jessica and Kalfoglou, Yannis (2007) Enterprise engineering using semantic technologies. 15th European Conference on Information Systems (ECIS'07).

Record type: Conference or Workshop Item (Paper)

Abstract

Modern Enterprises are facing unprecedented challenges in every aspect of their businesses: from marketing research, invention of products, prototyping, production, sales to billing. Innovation is the key to enhancing enterprise performances and knowledge is the main driving force in creating innovation. The identification and effective management of valuable knowledge, however, remains an illusive topic. Knowledge management (KM) techniques, such as enterprise process modelling, have long been recognised for their value and practiced as part of normal business. There are plentiful of KM techniques. However, what is still lacking is a holistic KM approach that enables one to fully connect KM efforts with existing business knowledge and practices already in IT systems, such as organisational memories. To address this problem, we present an integrated three-dimensional KM approach that supports innovative semantics technologies. Its automated formal methods allow us to tap into modern business practices and capitalise on existing knowledge. It closes the knowledge management cycle with user feedback loops. Since we are making use of reliable existing knowledge and methods, new knowledge can be extracted with less effort comparing with another method where new information has to be created from scratch.

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ECIS07-178-ChenBurger-Kalfoglou.pdf - Other
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More information

Published date: June 2007
Venue - Dates: 15th European Conference on Information Systems (ECIS'07), 2007-06-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 265029
URI: http://eprints.soton.ac.uk/id/eprint/265029
PURE UUID: 43716a07-2e3a-4955-ace5-84902fe61fe9

Catalogue record

Date deposited: 11 Jan 2008 15:54
Last modified: 14 Mar 2024 08:01

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Contributors

Author: Jessica Chen-Burger
Author: Yannis Kalfoglou

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