Data Mining for Knowledge Organization By Kenji YAMANISHI* and Satoshi MORINAGA* *Internet Systems Research Laboratories It becomes increasingly important to automatically discover business knowledge from large databases in order to drastically reduce operators’ costs in the areas of CRM (Customer Relationship Management), knowledge management, Web marketing, etc. This paper introduces NEC’s te...

Preface In lieu of writing an introduction that runs the risk of adding more smoke than fire, the guest editors elected to engage in a dialogue with one another. Its purpose is to give readers a sense of the thinking behind the special issue, of the debates that ensued, and of the possible directions for further work. We met for lunch in a café-bar in Greenwich Village in April 2001 to discuss ...

an alternative for decreasing risk for knowledge workers is effective & optimized work break.major performance criteria in r&d; based organization is successful projects. selection of opproporiate members can be a most effect on the projects achievement. but as the selection of r&d; special members lead to decrease of risk, repeatative participation of this people in the same project lead to kn...

This chapter discusses folksonomies as a novel way of indexing documents and locating information based on user generated keywords. Folksonomies are considered from the point of view of knowledge organization and representation in the context of user collaboration within the Web 2.0 environments. Folksonomies provide multiple benefits which make them a useful indexing method in various contexts...

todays, decision makers in the organization need toconstantly monitor changes in the environment and organization andmake necessary changes. therefore knowledge about the environmentand organization is necessary in decision making. knowledgemanagement is a key factor for competitive business environment andorganizations are investing heavily in creating centralized knowledgerepositories to impr...

the purpose of this study is the feasibility of customer relationship management implementation from employees and managers' perspective of melli bank in esfahan city by using structural equation modeling (sem). this study is applicable in terms of purpose and descriptive –survey in terms of method. the sample population of this study was employees and managers of melli bank in esfahan cit...

the aim of this study is assessing the effectiveness of customer relationship management factors in isfahan tourism and travel agencies by structural equation modeling (sem). it is practical according to the goal and it’s a kind of descriptive survey in terms of methodology. research population included all of staffs and managers at tourism and travel agencies in isfahan in 2012 that 274 of the...

This paper concerns the need for methodological support in providing Knowledge Management (KM) IT solutions. Due to the distributed nature of knowledge, the support of KM often requires complex, distributed IT systems, which are inherently difficult to design. We propose an agent-oriented methodology based on Tropos for the analysis and design of KM systems that offers appropriate abstractions ...

Simple Knowledge Organization System (SKOS) vocabularies are commonly used to represent lightweight conceptual vocabularies such as taxonomies, classifications and thesauri on the Web of Data. We have analyzed 14 such vocabularies and found most of them to contain structural errors. Our tool, Skosify, can be used to automatically validate SKOS vocabularies and correct many problems, helping to ...

The Simple Knowledge Organization System (SKOS) is popular for expressing controlled vocabularies for their use in Semantic Web applications. Using SKOS, concepts can be linked to other concepts and organized into hierarchies inside a single terminology system. Meanwhile, expressing mappings between concepts in different terminology systems is also possible with SKOS mapping properties. This po...