We explore and evaluate the usefulness of semantic annotation, particularly semantic relations, in cross-language information retrieval in the medical domain. As the baseline for automatic semantic annotation we use UMLS, which specifies semantic relations between medical concepts. We developed two methods to improve the accuracy and yield of relations in CLIR: a method for relation filtering a...

In this paper, we describe our ongoing effort in describing and formalizing semantic relations that link ontologies with each others on the Semantic Web in order to create an ontology, DOOR, to represent, manipulate and reason upon these relations. DOOR is a Descriptive Ontology of Ontology Relations which intends to define relations such as inclusion, versioning, similarity and agreement using...

This paper deals with morphosemantic relations between Croatian verbs and discusses their inclusion in Croatian WordNet. Morphosemantic relations refer to semantic relations between morphologically related verbs, i.e., between verbs from the same derivational family. A derivational family consists of verbs with the same lexical morpheme grouped around a base form. Generally, a verb with the sim...

Metadata vocabularies provide various semantic relations between concepts. For content-based recommender systems, these relations enable a wide range of concepts to be recommended. However, not all semantically related concepts are interesting for end users. In this paper, we identified a number of semantic relations, which are within one vocabulary (e.g. a concept has a broader/narrower concep...