Proposta de dissertação do MEI
Título: NoHR - Incorporating Linked Open Data
Proponente(s): João Leite and Matthias Knorr
Créditos: 42 ECTS
Área científica: Decision Support and Artificial Intelligence
Início preferencial: Qualquer semestre
URL:
Já estão em curso trabalhos preliminares executados pelo alunos:
Breve descrição: NoHR (Nova Hybrid Reasoner) is a plug-in for the ontology editor Protégé that allows its users to query knowledge bases composed of both an Ontology in any of the tractable OWL 2 profiles (and even beyond) and a set of Reasoning Rules. Using a top-down reasoning approach, which means that only the part of the ontology and rules that is relevant for the query is actually evaluated, NoHR delivers very fast interactive response times. This is further improved upon in the latest version which now also allows the integration of a commercial database system for an even faster data access. However, on the Web, large amounts of data are published nowadays as linked open data (LOD), a Semantic Web standard adopted by, e.g., Wikipedia, the BBC, the New York Times and many governmental agencies in Europe. The aim of this thesis is to allow for the integration of data published as LOD into NoHR which will considerably increase the applicability of the tool.
Observações: A good student adopting this topic may be awarded a research grant.