WordNet® is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by
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.
A great jump towards the advent of the Semantic Web will take place when a critical mass of web resources is available for use in a semantic way. This goal can be reached by the creation of semantic meta-data in the publication workflow, or by the develop
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
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
WordNet® is an on-line lexical reference system whose design is inspired by current psycholinguistic theories of human lexical memory. English nouns, verbs, adjectives and adverbs are organized into synonym sets, each representing one underlying lexical