In this chapter, a Semantic Web services-based knowledge management framework that enables holistic knowledge management in organizations is presented. As the economy is becoming one single global marketplace, where the best offer wins, organizations have to search for competitive advantage within themselves. With the growing awareness that key potentials of an organization lie within its peopl...

The Semantic Web can be a very promising platform for developing knowledge management systems. However, the problem is how to represent knowledge in the machine-understandable form, so that relevant knowledge can be found by machine agents. In this paper we present a knowledge management approach based on RDF-compatible format for representing rules and on a novel technique for the annotation o...

With the creation and wide adoption of Semantic Web standards like RDF or OWL, a new breed of semantic networks is about to appear. For the first time, we can expect large numbers of knowledge management systems to interoperate using common languages to express the semantics of the data they share or seek. We however foresee semantic heterogeneity to surface once more as a key problem in inform...

In the present aggressive world of competition, knowledge management strategies are becoming the major vehicle for the organizations to achieve their goals; to compete and to perform well. Linking knowledge management to business performance could make a strong business case in convincing senior management of any organization about the need to adopt a knowledge management strategy. Organization...

Knowledge bases play a crucial role in modern search engines and provide users with information about entities. A knowledge base may contain many facts (i.e., RDF triples) about an entity, but only a handful of them are of significance for a searcher. Identifying and ranking these RDF triples is essential for various applications of search engines, such as entity ranking and summarization. In t...

Methodologies for developing knowledge management systems: an evaluation framework Razieh Dehghani Raman Ramsin Article information: To cite this document: Razieh Dehghani Raman Ramsin , (2015),"Methodologies for developing knowledge management systems: an evaluation framework", Journal of Knowledge Management, Vol. 19 Iss 4 pp. 682 710 Permanent link to this document: http://dx.doi.org/10.1108...

The purpose of this paper is to develop an understanding of the factors that support of Knowledge Management Practice (KmP) at Malaysian university libraries. Many preceding studies outline the theoretical case for Knowledge Management. The current study seeks to explore whether knowledge creation, knowledge acquisition, knowledge capture and knowledge sharing may possibly have a significant as...

Effective knowledge management (KM) enhances products, improves operational efficiency, speeds deployment, increases sales and profits, and creates customer satisfaction. Data warehousing provides an infrastructure that enables business to extract, and store vast amounts of corporate data. The purpose of data warehouse is to empower the knowledge workers with information that allows them to mak...

This paper aims to use a priority framework based on Decision making trial and evaluation laboratory (DEMATEL) to help organizations build awareness of the critical influential factors affecting successful implementation of KM. To identify critical influential factors, the authors studied and reviewed relevant literature from numerous fields of study associated with the essential issues of ...

Firms have invested heavily in knowledge management (KM) with the aim to build a knowledge capability and use it to achieve a competitive advantage. Research has shown, however, that not all knowledge management projects succeed. Some studies report that about 84% of knowledge management projects fail. This paper has integrated studies on the impediments to knowledge management into a theoretic...