Ontology-Based Multidimensional Personalization Modeling for the Automatic Generation of Mashups in Next-Generation Portals

Recently, the combination of Portal and mashup technology has gained some attention. Portals were originally designed as single points of access to the information and applications distributed across the enterprise. However, due to the increasing number of resources available through Portals, they have gained a new challenging goal: To provide users with the information tailored to their individual needs and geared to the situation they are working in. Mashups, the tools that dynamically integrate independent applications, seem to be a good technique to achieve this goal. What is needed, however, are means to automatically create personalized mashups that optimally fit a user’s information needs in a given situation. In this paper, we describe our approach to this automatic mashup generation. At the core of our approach are different ontology-based models that describe the user, the domain, possible information needs in this domain, and personalization rules determining which information to present to which user in which situation.

@INPROCEEDINGS{,
  author = {Fedor Bakalov and Birgitta König-Ries and Andreas Nauerz and Martin
	Welsch},
  title = {Ontology-Based Multidimensional Personalization Modeling for the 
           Automatic Generation of Mashups in Next-Generation Portals},
  booktitle = {Proceedings of the 1st International Workshop on Ontologies in 
              Interactive Systems held in conjunction with HCI 2008},
  address = {Liverpool, United Kingdom},
  year = {2008},
  month = {September}
  owner = {bakalov},
  abstract = {Recently, the combination of Portal and mashup technology 
              has gained some attention. Portals were originally designed 
              as single points of access to the information and applications 
              distributed across the enterprise. However, due to the 
              increasing number of resources available through Portals, 
              they have gained a new challenging goal: To provide users 
              with the information tailored to their individual needs and 
              geared to the situation they are working in. Mashups, the tools 
              that dynamically integrate independent applications, seem to be 
              a good technique to achieve this goal. What is needed, however, 
              are means to automatically create personalized mashups that 
              optimally fit a user's information needs in a given situation. 
              In this paper, we describe our approach to this automatic mashup 
              generation. At the core of our approach are different 
              ontology-based models that describe the user, the domain, possible 
              information needs in this domain, and personalization rules 
              determining which information to present to which user in which 
              situation.}
}