Graph-Based Visualization of Ontology-Based Competence Profiles for Research Collaboration
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Abstract [en]
Information visualization can be valuable in a wide range of applications, it deals with abstract, non-spatial data and with the representation of data elements in a meaningful form irrespective of the size of the data, because sometimes visualization itself focuses on the certain key aspects of the data in the representation and thus it helps by providing ease for the goal oriented interpretation. Information visualization focuses on providing a spontaneous and deeper level of the understanding of the data.
Research collaboration enhances sharing knowledge and also enhances an individual’s talent. New ideas are generated when knowledge is shared and transferred among each other. According to (He et al, 2009) Research collaboration has been considered as a phenomenon of growing importance for the researchers, also it should be encouraged and is considered to be a “good thing” among the researchers.
The main purpose of this thesis work is to prepare a model for the competence profile visualization purpose. For this purpose the study of different visualization techniques that exist in the field of information visualization are discussed in this thesis work. The study and discussion about the visualization techniques motivates in selecting appropriate visualization techniques for the visualization of Ontology-based competence profiles for research collaboration purpose. A proof of concept is developed which shows how these visualization techniques are applied to visualize several components of competence profile.
Place, publisher, year, edition, pages
2012. , p. 72
Keywords [en]
Ontology, Ontology visualization, Graph-based visualization, Human computer interaction, Key concept extraction, Information visualization, Competence profile.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hj:diva-20123OAI: oai:DiVA.org:hj-20123DiVA, id: diva2:579337
Presentation
2012-12-03, E1017, University Campus, Building E Gjuterigatan 5 Jönköping., Jönköping, 13:30 (English)
Uppsok
Technology
Supervisors
Examiners
2013-01-102012-12-192013-01-22Bibliographically approved