A Personalized Approach to Experience-Aware Service Ranking and Selection
A Service Distribution Protocol For Mobile Ad Hoc Networks
A Service Distribution Protocol For Mobile Ad Hoc Networks
Adaptive Portals: Adapting and Recommending Content and Expertise
Adaptive Treemap Based Navigation Through Web Portals
An Extended Analysis of an Interest-Based Service Distribution Protocol for Mobile Ad-Hoc Networks
Book Chapter: Comparison: Handling Preferences with DIANE and miAamics
Book Chapter: Semantic Service Discovery with DIANE Service Descriptions
Book Chapter: Service Discovery with SWE-ET and DIANE – An In-depth Comparison By Means of a Common Scenario
Book Chapter: Status, Perspectives, and Lessons Learned
Book Chapter: SWS Challenge Scenarios
Evaluating Semantic Web Service Matchmaking Effectiveness Based on Graded Relevance
On the Empirical Evaluation of Semantic Web Service Approaches: Towards Common SWS Test Collections
On the Evaluation of Semantic Web Service Frameworks
Ontology-Based Multidimensional Personalization Modeling for the Automatic Generation of Mashups in Next-Generation Portals
OPOSSum – An Online Portal to Collect and Share Semantic Service Descriptions
OPOSSum – An Online Portal to Collect and Share SWS Descriptions (Best Demo Award!)
Personalized Recommendation of Related Content Based on Automatic Metadata Extraction
Proceedings of the 20. Workshop on Foundations of Databases (Grundlagen von Datenbanken)
Recommending Background Information and Related Content in Web Portals using Unstructured Data Analysis
Service Availability, Success Ratio, Prevalence, Replica Allocation Correctness, Replication Degree, and Effects of Different Replication/Hibernation Behavior Effects of the Service Distribution Protocol for Mobile Ad Hoc Networks -A Detailed Study-
Towards an Automatic Service Composition for Generation of User-Sensitive Mashups
Towards Standard Test Collections for the Empirical Evaluation of Semantic Web Service Approaches
Using Context Information to Evaluate Cooperativeness
W3C SWS Challenge Testbed Incubator Methodology Report
Ontology-Based Multidimensional Personalization Modeling for the Automatic Generation of Mashups in Next-Generation Portals
Title: | Ontology-Based Multidimensional Personalization Modeling for the Automatic Generation of Mashups in Next-Generation Portals |
---|---|
Authors: | Fedor Bakalov, Birgitta König-Ries, Andreas Nauerz, Martin Welsch |
Source: | Proceedings of the 1st International Workshop on Ontologies in Interactive Systems held in conjunction with HCI 2008 |
Place: | Liverpool, United Kingdom |
Date: | 2008-09-01 |
Type: | Workshop Paper |
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. |
File: | paper.pdf |
Slides: | Presentation.pdf |
URL: | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?tp=&arnumber=4756198&isnumber=4756181 |
BibTex: |
@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.} } |