By Antonio Zilli, Visit Amazon's Ernesto Damiani Page, search results, Learn about Author Central, Ernesto Damiani, , Paolo Ceravolo, Angelo Corallo, Gianluca Elia
The large volume of information, details, and information to be had in electronic shape on the internet or in the organizational wisdom base calls for a greater solution to regulate it. The Semantic net and its growing to be complexity calls for a source for the knowledge of right instruments for administration.
Semantic wisdom administration: An Ontology-Based Framework addresses the Semantic internet from an operative perspective utilizing theoretical techniques, methodologies, and software program purposes as leading edge strategies to precise wisdom administration. This complex identify presents readers with serious steps and instruments for constructing a semantic established wisdom administration approach.
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Additional resources for Semantic Knowledge Management: An Ontology-based Framework
Introduction to Ontology Engineering WhAT Is Wrong WITh InforMATIVe sysTeMs? The ideas that we shall discuss in this chapter do require a bit of intellectual effort, so it makes sense to try to build some motivation before delving into them. In order to convince the reader that this effort is actually worth making, let us informally consider some unexpected consequences of the Internet-based information explosion. The availability of a pervasive, global infrastructure for information distribution such as the World Wide Web, together with the dramatic decline in communication and storage costs per information unit, has greatly encouraged information production.
Enhancing communities of practice: an ontological approach. Paper presented at 11th International KIWI Conference on Industrial Engineering and Engineering Management, Shenyang, China. nies create the dynamics of innovation. Oxford University Press. , & Zilli, A. (2007). SIMS: An ontology-based multi-source knowledge management system. Paper presented at the 11th Multi-Conference on Systemics, Cybernetics and Informatics (MSCI 2007), Orlando, Florida, USA. Noy, N. , & Klein, M. (2002). Ontology evolution: Not the same as schema evolution.
KIWI The first one is related to direct changes in the knowledge base of the community as it is the case when a big department is split into two smaller ones. The second evolution of ontologies is related to changes in the aim with which users look at the world. A user can see his/her computer from the hardware point of view or from the software point of view; the object is the same, but the properties he/she will underline are completely different. Changes in the specification are related to a new implementation in different languages of the same ontology; it could be necessary for improving the reasoning capability of the system in which the ontology is deployed.
Semantic Knowledge Management: An Ontology-based Framework by Antonio Zilli, Visit Amazon's Ernesto Damiani Page, search results, Learn about Author Central, Ernesto Damiani, , Paolo Ceravolo, Angelo Corallo, Gianluca Elia