People | Member | Marta Sabou
Research FellowMy main interest in KMi is focused around 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 investigate methods for ontology selection, ontology evaluation and dynamic ontology matching. I am also supervising 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, Ontology Visualisation
Projects
SmartProducts
OpenKnowledge
NeOn
View all 4 Projects
Technologies
Evolva
FLOR
Scarlet
View all 5 Technologies
Angeletou, S., Sabou, M., and Motta, E. (2009) Improving Folksonomies using Formal Knowledge: A Case Study on Search, 4th Asian Semantic Web Conference, Shanghai, China
Zablith, F., d'Aquin, M., Sabou, M., and Motta, E. (2009) Investigating the Use of Background Knowledge for Assessing the Relevance of Statements to an Ontology in Ontology Evolution, Workshop: International Workshop on Ontology Dynamics (IWOD) at The International Semantic Web Conference (ISWC), Northern Virginia, USA
Lopez, V., Nikolov, A., Fernandez, M., Sabou, M., Uren, V., and Motta, E. (2009) Merging and Ranking Answers in the Semantic Web: The Wisdom of Crowds, The 4th Asian Semantic Web Conference, Shanghai, China
Uren, V., Sabou, M., Motta, E., Fernandez, M., Lopez, V., and Lei, Y. (2009) Reflections on Five Years of Evaluating Semantic Search Systems, International Journal of Metadata, Semantics and Ontologies (IJMSO)
Fernandez, M., Overbeeke, C., Sabou, M., and Motta, E. (2009) What makes a good ontology? A case-study in fine-grained knowledge reuse, The 4th Asian Semantic Web Conference, Shanghai, China
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




