Memorias de investigación
Ponencias en congresos:
Combining Data Mining and Ontology Engineering to enrich Ontologies and Linked Data
Año:2012
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
In this position paper, we claim that the need for time consuming data preparation and result interpretation tasks in knowledge discovery, as well as for costly expert consultation and consensus building activities required for ontology building can be reduced through exploiting the interplay of data mining and ontology engineering. The aim is to obtain in a semi-automatic way new knowledge from distributed data sources that can be used for inference and reasoning, as well as to guide the extraction of further knowledge from these data sources. The proposed approach is based on the creation of a novel knowledge discovery method relying on the combination, through an iterative ?feedbackloop?, of (a) data mining techniques to make emerge implicit models from data and (b) pattern-based ontology engineering to capture these models in reusable, conceptual and inferable artefacts.
Internacional
Si
Nombre congreso
1st International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD), co-located with the 9th Extended Semantic Web Conference (ESWC 2012)
Tipo de participación
960
Lugar del congreso
Crete, Greece
Revisores
Si
ISBN o ISSN
00000000
DOI
Fecha inicio congreso
27/05/2012
Fecha fin congreso
31/05/2012
Desde la página
0
Hasta la página
0
Título de las actas
Proceedings of the workshop
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial