Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation
Communications of the ACM
Collecting user access patterns for building user profiles and collaborative filtering
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
xlinkit: a consistency checking and smart link generation service
ACM Transactions on Internet Technology (TOIT)
A graph-based recommender system for digital library
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
XConnector: extending XLink to provide multimedia synchronization
Proceedings of the 2002 ACM symposium on Document engineering
XLinkProxy: external linkbases with XLink
Proceedings of the 2002 ACM symposium on Document engineering
Description logic programs: combining logic programs with description logic
WWW '03 Proceedings of the 12th international conference on World Wide Web
WWW '03 Proceedings of the 12th international conference on World Wide Web
Xspect: bridging open hypermedia and XLink
WWW '03 Proceedings of the 12th international conference on World Wide Web
Reviewing the design of DAML+OIL: an ontology language for the semantic web
Eighteenth national conference on Artificial intelligence
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Ontology-Driven Web Services Composition Platform
CEC '04 Proceedings of the IEEE International Conference on E-Commerce Technology
A Web based Conversational Case-Based Recommender System for Ontology aided Metadata Discovery
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
An OWL-based extensible transcoding system for mobile multi-devices
Journal of Information Science
The Description Logic Handbook
The Description Logic Handbook
MarCol: A Market-Based Recommender System
IEEE Intelligent Systems
Knowledge Representation with Ontologies: The Present and Future
IEEE Intelligent Systems
Semantic web recommender systems
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
Journal of Systems and Software
A platform for transcoding heterogeneous markup documents using ontology-based metadata
Journal of Network and Computer Applications
Developing an ontology-supported information integration and recommendation system for scholars
Expert Systems with Applications: An International Journal
Empower service directories with knowledge
Knowledge-Based Systems
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Extending UML to model Web 2.0-based context-aware applications
Software—Practice & Experience
Ant colony optimization for RDF chain queries for decision support
Expert Systems with Applications: An International Journal
A framework for learning and analyzing hybrid recommenders based on heterogeneous semantic data
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
Personalized web feeds based on ontology technologies
Information Systems Frontiers
MDA-based visual modeling approach for resources link relationships using UML profile
Computer Standards & Interfaces
Hi-index | 12.06 |
Traditional recommender systems adopt a static view of the recommendation process and treat it as a prediction problem. We argue that it is more appropriate to view the problem of generating recommendation lists as a dynamic link generation and it is feasible to apply the XML Link Language (XLink) for a novel recommendation solution. However, XLink lacks knowledge and semantic representation to cope with the computer-interpretable effects. In this paper, we address the issue developing an Semantic XLink Recommendation System (SXRS), which is based on semantic web technologies and is composed of XLink base, knowledge base, Search Engine, and Inference Engine to provide three different approaches to represent the linking knowledge - XLink-based metadata, ontology-based reasoning, and rule-based inference. To illustrate the SXRS applications, we implemented an academic domain recommender system that offers dynamic recommendation lists to assist student to plan semester courses.