Agents that reduce work and information overload
Communications of the ACM
WebMap: a graphical hypertext navigation tool
Computer Networks and ISDN Systems
Training Agents to Recognize Text by Example
Autonomous Agents and Multi-Agent Systems
Ontology-based context synchronization for ad hoc social collaborations
Knowledge-Based Systems
Methodological Review: HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0
Journal of Biomedical Informatics
Bio2RDF: Towards a mashup to build bioinformatics knowledge systems
Journal of Biomedical Informatics
Expert Systems with Applications: An International Journal
Exploring the Geospatial Semantic Web with DBpedia Mobile
Web Semantics: Science, Services and Agents on the World Wide Web
An empirical study on optimizing query transformation on semantic peer-to-peer networks
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Knowledge integration and management in autonomous systems
Reusing ontology mappings for query routing in semantic peer-to-peer environment
Information Sciences: an International Journal
Service chain-based business alliance formation in service-oriented architecture
Expert Systems with Applications: An International Journal
Evolutionary approach for semantic-based query sampling in large-scale information sources
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A scalable and efficient Web 2.0 reader platform for mashups
International Journal of Web Engineering and Technology
An efficient and scalable ranking technique for mashups involving RSS data sources
Journal of Network and Computer Applications
Hi-index | 12.05 |
Due to a large amount of information available on world wide web, it has been difficult for users to effectively find relevant information. Many web browsing methods and systems have been investigated to apply adaptive approaches which can extract personal interests of the users. In this paper, we propose a semantic mashup-based collaborative browsing (co-browsing) platform for supporting knowledge sharing with other partners. Especially, the semantic mashup scheme can integrate heterogeneous information collected by various Open APIs, and help users to determine which partners should be selected. For evaluating the proposed method, we have implemented a co-browsing platform which can exchange bookmarks, and measured whether the semantic mashup scheme make a positive influence on improving the performance of the co-browsing process.