Semantic web mining and the representation, analysis, and evolution of web space

Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: Growing numbers of researchers work on improving the results of Web Mining by exploiting semantic structures in the Web, and they use Web Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The second aim of this paper is to use these concepts to circumscribe what Web space is, what it represents and how it can be represented and analyzed. This is used to sketch the role that Semantic Web Mining and the software agents and human agents involved in it can play in the evolution of Web space.

Competencies of Higher Education Graduates: A Case of Universitas Kristen Indonesia

This dissertation investigated higher education graduate competencies, acquired during their study period and required at work as perceived by the graduates themselves. This study also investigated whether graduates of professional, semiprofessional, and non-professional study programs acquired different levels of competencies during their studies and compared the gaps among the three groups of graduates. The case study is Universitas Kristen Indonesia graduates of graduation years 2001, 2003, and 2005, from the Faculties of Engineering, Economics and English, representing professional, semi-professional and nonprofessional study programs respectively.