Julio Cesar dos Reis: Advancements and Challenges in Cross-Lingual Ontology Alignment
Julio Cesar dos Reis will be visiting DIKU and give a talk during his stay. His talk will be followed by a talk by Flávia Santoro on Knowledge-intensive Processes: What comes next?
Advancements and Challenges in Cross-Lingual Ontology Alignment
Cross-lingual ontology alignments play a key role for the semantic integration of data described in different languages. The task of automatic cross-lingual ontology matching requires exploring automated translation and similarities measures. Such measures compute the degree of relatedness between two given terms from ontology's concepts. Although the literature has extensively studied similarity measures for monolingual ontology alignments, the use of similarity measures for the creation of cross-lingual ontology mappings still requires further research. This talk presents research results including: (1) effects of different semantic similarity measures based on background knowledge on the identification of cross-language mappings; (2) an algorithm for automatic cross-lingual ontology matching based on the composed use of similarity metrics; (3) experimental results exploring real-world biomedical ontology mappings and standard datasets from the Ontology Alignment Evaluation Initiative campaign. Open research challenges are described to improve the effectiveness of the techniques considering ontology's structure and methods borrowed from the information retrieval area.
Julio Cesar dos Reis is assistant professor at the Institute of Computing of the University of Campinas (UNICAMP), Brazil. Former postdoctoral researcher at the UNICAMP and assistant researcher at the Public Research Centre Henri Tudor, Luxembourg. He earned a PhD degree in Computer Science (2014) from the Faculty of Sciences at the University of Paris-Sud XI, France. He holds a MSc degree in Computer Science (2011) and B.Tech. degree in Informatics (2008) from UNICAMP. His research interests focus on Semantic Web, Computational Ontologies, Natural Language Processing and Human-Computer Interaction.