Marta SabouResearch Fellow
During my time at KMi I focused on building a new generation of applications and tools that exploit the large scale semantic information available online. Within the context of this research line, I investigated methods for ontology selection, ontology evaluation, dynamic ontology matching and background knowledge based relation discovery (Scarlet). I also supervised three PhD's on topics related to this paradigm: multi-ontology question answering (AquaLog), ontology evolution (EVOLVA) and semantic enrichment of folksonomy tagspaces (FLOR).
Keys: Semantic Web, Ontologies, Ontology Matching, Ontology Learning, Ontology Evaluation, Semantic Web Services, Relation Discovery, Smart Products.
Kirrane, S., Sabou, M., Fernández, J., Osborne, F., Robin, C., Buitelaar, P., Motta, E. and Polleres, A. (2020) A decade of Semantic Web research through the lenses of a mixed methods approach A decade of Semantic Web research through the lenses of a mixed methods approach, 11
Sabou, M. and Fernandez, M. (2012) Ontology (network) evaluation, in eds. Mari Carmen Suárez-Figueroa, Asunción Gómez-Pérez, Enrico Motta, Aldo Gangemi, Ontology Engineering in a Networked World, pp. 193-212, Springer
Lopez, V., Uren, V., Sabou, M. and Motta, E. (2011) Is Question Answering fit for the Semantic Web? A Survey, Journal of Semantic Web - Interoperability, Usability, Applicability, In Press
Lopez, V., Nikolov, A., Sabou, M., Uren, V. and Motta, E. (2010) Scaling up Question-Answering to Linked Data, Knowledge Engineering and Knowledge Management by the Masses (EKAW-2010), Lisboa, Portugal
State of the art on Semantic Question Answering
Techreport ID: kmi-07-03
Author(s): Vanessa Lopez, Enrico Motta, Victoria Uren, Marta Sabou