Recommender Service for Social Network based Applications
Proceedings of the 11th International Conference on Electronic Commerce
Semantic annotation of personal video content using an image folksonomy
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Investigating effectiveness and user acceptance of semantic social tagging for knowledge sharing
Information Processing and Management: an International Journal
Finding keywords in blogs: Efficient keyword extraction in blog mining via user behaviors
Expert Systems with Applications: An International Journal
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During the last several years, the volume of user-generated content on the web has skyrocketed. Today, the major Internet players such as MySpace, Wordpress, and YouTube all provide a variety of Web 2.0 based applications that allow users to post photos, share video, and manage blogs with multimedia content. Keyword-based tags are used to classify the submitted content and to conduct searches for retrieval. Use of simple keyword-based tags provide less than optimal classification leading to poor search results. This work examines several proposed solutions to this problem and proposes a solution based on semantic tagging of online contents. These proposed semantic tags are intended to be "understandable to both machines and humans; additionally we allow the user to specify a context for each tag. The combination of these measures permits searches based on inferences and synonyms in addition to simple keyword matches. Initial tests demonstrate that use of the proposed scheme leads to more accurate content classification and search results with a greater number of hits and higher relevancy. We describe the design and, implementation of a prototype system as proof of concept of our proposed solution. The prototype has been implemented with extensive use of open source software such as Jena, jBoss, the Spring framework, PostgreSQL database, and other freely available resources such as Wordnet.