Skill-Based Scouting of Open Management Content

Already existing open educational resources in management have a high potential for enterprises to address the increasing training needs of their employees. However, access barriers still prevent the full exploitation of this potential. Users have to search a number of repositories with heterogeneous interfaces in order to retrieve the desired content. In addition, the use of search criteria related to skills, such as learning objectives and skill-levels is in most cases not supported. The demonstrator presented in this paper addresses these shortcomings by federating multiple repositories, integrating and enriching their metadata, and employing skill-based search for management related content.

Venue: ECTEL2010

Authors: Katja Niemann, Uta Schwertel, Marco Kalz, Alexander Mikroyannidis, Marco Fisichella, Martin Friedrich, Michele Dicerto, Kyung-Hun Ha, Philipp Holtkamp and Ricardo Kawase

PDF: niemann-ectel2010

Incremental End-User Query Construction for the Semantic Desktop

This paper describes the design and implementation of a user interface that allows end-users to incrementally construct a query over the information in the Personal Information Management (PIM) domain. It allows semantically enriched keyword queries, implemented in the Semantic Desktop of the NEPOMUK Project. The Semantic Desktop user is able to explicitly articulate machine-processable knowledge, as described by its metadata. Therefore, searching this semantic information space can also benefit from the knowledge articulation within the query. Contrary to keyword queries, where it is not possible to provide semantic information, structured query languages as SPARQL enable exploiting this knowledge explicitly.

Venue:  WEBIST2009

Authors: Ricardo Kawase, Enrico Minack, Wolfgang Nejdl, Samur Araújo and Daniel Schwabe

PDF: kawase-webist2009b