Tagging is great...But can tagging be better? Yes. For example, how do you specify Paris (the city) as opposed to Paris (the person)? By using contextual tags (e.g.; celebrity:paris or city:paris) to give "thing" tags meaning. words are no longer stripp
This paper describes Seeker, a platform for large-scale text analytics, and SemTag, an application written on the platform to perform automated semantic tagging of large corpora. We apply SemTag to a collection of approximately 264 million web pages, and
Lexical ambiguity is a fundamental problem in Information Retrieval (IR), especially in the medical domain. Many systems use a subset of the words contained in the document to represent the content, but they are faced with the problem of ambiguity.
It might seem redundant to have semantic tagging when you can basically find anything you can think of with simple searches in Google or Yahoo. But del.icio.us seems to be most surprising when you're trying to find things that relate to what you're intere
Category search within digital repositories is poorly supported. This means that people wishing to access the assets of digital repositories are largely limited to keyword search, which means they must know what they want in order to look for it. Our part
The introduction of semantics on the web will lead to a new generation of services based on content rather than on syntax. |:| Effective semantic search engines will provide means for successful searches avoiding the heavy burden experimented by users in
Automatic semantic annotation of information content is an open problem, but is crucial to the realization of the Semantic Web. Annotation systems require the initial definition of an ontology and as well as a knowledge base. Both of these resources work