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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.

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Publications

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Tsaneva, S., Dessì, D., Osborne, F. and Sabou, M. (2024) Enhancing Scientific Knowledge Graph Generation Pipelines with LLMs and Human-in-the-Loop, 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, Sci-K 2024, Baltimore

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Kirrane, S., Sabou, M., Fernandez, 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

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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

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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

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Sabou, M., Maleshkova, M. and Pan, J. (2010) Semantically Enabling Web Service Repositories, in eds. Pan, J.Z., Zhao, Y., Semantic Web Enabled Software Engineering

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Tech Reports

View AbstractDownload PDF

State of the art on Semantic Question Answering
Techreport ID: kmi-07-03
Date: 2007
Author(s): Vanessa Lopez, Enrico Motta, Victoria Uren, Marta Sabou

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