Web-Based Measure of Semantic Relatedness
This paper explores the use of a semantic relatedness measure between words, that uses the Web as knowledge source, and defines a new semanticrelatedness measure among ontology terms that fulfils the above mentioned desirable properties to be used on the Semantic Web.
Querying the web: a multiontology disambiguation method
- J. Gracia, Raquel Trillo Lado, M. Espinoza, E. Mena
- Computer ScienceInternational Conference on Web Engineering
- 11 July 2006
The proposed method processes a set of related keywords in order to discover and extract their implicit semantics, obtaining their most suitable senses according to their context and applies an iterative disambiguation algorithm that uses a semantic relatedness measure based on Google frequencies.
Ontology matching with CIDER: evaluation report for OAEI 2011
- J. Gracia, Jordi Bernad, E. Mena
- Computer ScienceOrganizational Memories
- 2011
In this new approach, the burden of manual selection of weights has been definitely eliminated, while preserving the performance with respect to CIDER’s previous participation in the benchmark track (at OAEI’08), and areas of potential improvement are discovered.
Ontology Matching with CIDER: Evaluation Report for the OAEI 2008
A schema-based alignment algorithm compares each pair of ontology terms by extracting their ontological contexts up to a certain depth and combining different elementary ontology matching techniques, which shows a very good behaviour in terms of precision, while preserving an acceptable recall.
The apertium bilingual dictionaries on the web of data
- J. Gracia, Marta Villegas, A. Gómez-Pérez, Núria Bel
- Computer Science, LinguisticsSemantic Web
- 2018
This paper describes the conversion of the Apertium family of bilingual dictionaries and lexicons into RDF (Resource Description Framework) and how their data have been made accessible on the Web as linked data.
DynaLearn - An Intelligent Learning Environment for Learning Conceptual Knowledge
- B. Bredeweg, J. Liem, D. Mioduser
- Computer ScienceThe AI Magazine
- 27 June 2013
An overview of the DynaLearn system, an Intelligent Learning Environment that allows learners to acquire conceptual knowledge by constructing and simulating qualitative models of how systems behave, uses diagrammatic representations for learners to express their ideas.
Leveraging RDF Graphs for Crossing Multiple Bilingual Dictionaries
- Marta Villegas, Maite Melero, Núria Bel, J. Gracia
- Computer ScienceInternational Conference on Language Resources…
- 1 May 2016
The experiments presented here exploit the properties of the Apertium RDF Graph, principally cycle density and nodes’ degree, to automatically generate new translation relations between words, and…
Spider: Bringing Non-equivalence Mappings to OAEI
A carrier for electronic components which generate heat during their operation, such as high power semiconductors, is disclosed and includes complementary ends which are designed to conserve space when more than one carrier is mounted on a substrate containing an electronic circuit.
Discovering the Semantics of User Keywords
- Raquel Trillo Lado, J. Gracia, M. Espinoza, E. Mena
- Computer ScienceJournal of universal computer science (Online)
- 2007
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, which discovers the semantics of user keywords by consulting the knowledge represented by many (heterogeneous and distributed) ontologies.
Increasing Learners' Motivation through Pedagogical Agents: The Cast of Virtual Characters in the DynaLearn ILE
- M. Wissner, W. Beek, E. André
- EducationInternational Workshop on Agents for Educational…
- 2 May 2011
The cast of pedagogical agents in the DynaLearn Intelligent Learning Environment is presented, showing how each agent is associated with one of the different support types available in the environment, giving each agent a clearly defined role.
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