Jan-Willem van Dam

Learn More
This paper presents a platform for multifaceted product search using Semantic Web technology. Online shops can use a ping service to submit their RDFa annotated Web pages for processing. The platform is able to process these RDFa annotated (X)HTML pages and aggregate product information coming from different Web stores. We propose solutions for the(More)
Many of the existing cloud tagging systems are unable to cope with the syntactic and semantic tag variations during user search and browse activities. As a solution to this problem, in this paper, we propose the Semantic Tag Clustering Search, a framework able to cope with these needs. The framework consists of three parts: removing syntactic variations,(More)
—Many of the existing cloud tagging systems are unable to cope with the syntactic and semantic tag variations during user search and browse activities. As a solution to this problem, we propose the Semantic Tag Clustering Search, a framework which is able to cope with these needs. The framework consists of two parts: removing syntactic variations and(More)
Due to the increasing popularity of tagging, it is important to overcome challenges resulting from the free nature of tagging, such as the use of synonyms, homonyms, syntactic variations, etc. The Semantic Tag Clustering Search (STCS) framework deals with these challenges by detecting syntactic variations of tags and by clustering semantically related tags.(More)
In this thesis we propose the Semantic Tag Clustering Search framework (STCS). This framework consists of three parts. The first part deals with syntactic variations by clustering tags that are syntactic variations of each other and assigning a label to them. The second part of the framework addresses the problem of recognizing homonyms and identifying(More)
  • 1