Automatic Creation of Researcher’s Competence Profiles Based on Semantic Integration of Heterogeneous Data sources

Abstract: The research journals and publications are great source of knowledge produced by the virtue of hard work done by researchers. Several digital libraries have been maintaining the records of such research publications in order for general people and other researchers to find and study the previous work done in the research field they are interested in. In order to make the search criteria effective and easier, all of these digital libraries keep a record/database to store the meta-data of the publications. These meta-data records are generally well design to keep the vital records of the publications/articles, which has the potential to give information about the researcher, their research activities, and hence the competence profile. This thesis work is a study and search of method for building the competence profile of researchers’ base on the records of their publications in the well-known digital libraries. The publications of researchers publish in different publication houses, so, in order to make a complete profile, the data from several of these heterogeneous digital libraries sources have to be integrated semantically. Several of the semantic technologies were studied in order to investigate the challenges of integration of the heterogeneous sources and modeling the researchers’ competence profile .An approach of on-demand profile creation was chosen where user of system could enter some basic name detail of the researcher whose profile is to be created. In this thesis work, Design Science Research methodology was used as the method for research work and to complement this research method with a working artifact, scrum- an agile software development methodology was used to develop a competence profile system as proof of concept.