We explore the use of a semantic relatedness measure between words, that uses the Web as knowledge source, to compute a web-based semantic distance measure between plain words.Expand
The lack of explicit semantics in the current Web can lead to ambiguity problems: for example, current search engines return unwanted information since they do not take into account the exact meaning given by user to the keywords used.Expand
A schema-based alignment algorithm compares each pair of ontology terms by extracting their ontological contexts up to a certain depth (enriched by using transitive entailment) and, secondly, combining different elementary ontology matching techniques (e.g., lexical distances and vector space modelling).Expand
CIDER is a schema-based alignment system. Its algorithm compares each pair of ontology terms by, firstly, extracting their ontological contexts up to a certain depth (enriched by using transitive… Expand
We propose the use of Semantic Web techniques to make translations available on the Web to be consumed by other semantic enabled resources in a direct manner based on standard languages and query means.Expand
We have created DynaLearn, an Intelligent Learning Environment that allows learners to acquire conceptual knowledge by constructing and simulating qualitative models of how systems behave.Expand
We propose a system that takes as input a list of plain keywords pro- vided by a user and translates them into a query expressed in a formal language without ambiguity.Expand
We exploit the properties of the Apertium RDF Graph, principally cycle density and nodes’ degree, to automatically generate new translation relations between words, and therefore to enrich existing bilingual dictionaries with new entries.Expand