WonderTools?: a comparative study of ontological engineering tools
International Journal of Human-Computer Studies
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Ontology-Based Information Gathering Agents
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
Sparsity, scalability, and distribution in recommender systems
Sparsity, scalability, and distribution in recommender systems
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Context-aware, Ontology-based Recommendations
SAINT-W '06 Proceedings of the International Symposium on Applications on Internet Workshops
The Role of Ontologies in Context-Aware Recommender Systems
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Expert Systems with Applications: An International Journal
Using ontology network analysis for research document recommendation
Expert Systems with Applications: An International Journal
Toward Recommendation Based on Ontology-Powered Web-Usage Mining
IEEE Internet Computing
SXRS: An XLink-based Recommender System using Semantic Web technologies
Expert Systems with Applications: An International Journal
Using contextual information and multidimensional approach for recommendation
Expert Systems with Applications: An International Journal
Ontology-Based Personalised and Context-Aware Recommendations of News Items
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Collaborative Filtering Recommender Systems Using Tag Information
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
An iterative semi-explicit rating method for building collaborative recommender systems
Expert Systems with Applications: An International Journal
Application of neural networks and Kano's method to content recommendation in web personalization
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Consumer Electronics
Social knowledge-based recommender system. Application to the movies domain
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
With the growing popularity of Internet technology, information is increasing in a geometric-progressively manner. How to find advantage information to meet user queries in the information torrent of Internet has become the first goal of lots of scholars. This paper focused on developing an ontology-supported information integration and recommendation system for scholars. Not only can it rapidly integrate specific domain documents, but also it can extract important information from them by information integration and recommendation ranking. The core technologies adopted in this study included: ontology-supported webpage crawler, webpage classifier, information extractor, information recommender, and a user integration interface. The preliminary experiment outcomes proved both the webpage crawler and classifier in the core technology can achieve an excellent precision rate of webpage treatment and the reliability and validation measurements of the whole system performance can also achieve the high-level outcomes of information recommendation. Further, this paper also discussed and examined the advantages and shortcomings of the construction of a recommendation system with different approaches and accordingly provided the design philosophy of customized services for recommendation systems.