Bersama dengan ini umumkan kegiatan Seminar Reboan yang dilaksanakan pada:
| Tanggal | : | Rabu, 11 Oktober 2017 |
| Waktu | : | 13.00 – 15.00 WIB |
| Tempat | : | Ruang 1213, Gedung A lantai 2, Fasilkom UI Depok |
| Topik | : | Cross-institution Data Integration with Ontology Patterns and Linked Data Technology |
| Pembicara | : | Adila A. Krisnadhi, Ph.D. |
Adila Alfa Krisnadhi is a lecturer at the Faculty of Computer Science, Universitas Indonesia. He received a Ph.D. in Computer Science in December 2015 from Wright State University in Dayton, Ohio, USA, where he also conducted 18 months of postdoctoral research. His stay in the U.S. was sponsored by Fulbright and Wright State University. Prior to pursuing a Ph.D., he obtained a Bachelor’s degree in Computer Science from Universitas Indonesia in 2002 and a Master’s degree in Computational Logic from TU Dresden, Germany, in 2007. His research interests include ontology modeling, knowledge representation and reasoning, linked and open data, semantic technology, and artificial intelligence in general. He has co-authored more than 30 refereed publications and co-edited several scientific proceedings. He also recently published a handbook titled “Ontology Engineering with Ontology Design Patterns – Foundations and Applications”. He has served as a reviewer for a number of journals including Semantic Web journal, Journal of Web Semantics, Artificial Intelligence journal, and Journal of Automated Reasoning. He also served as a program committee member at several conferences including International Semantic Web Conference (ISWC), European Semantic Web Conference (ESWC), International Joint Conference in Artificial Intelligence (IJCAI), International Conference on Knowledge Capture (K-CAP) and International Conference on Knowledge Engineering and Knowledge Management (EKAW).
Abstrak seminar:
This talk focuses on the problem of data integration particularly over data repositories residing in different institutions. This problem is very challenging since data residing in different institutions are almost always modeled and maintained differently, resulting in heterogeneities in architectural, syntactic, and semantic level. My approach advocates the combination of linked data and ontology patterns. Linked data provides us with a simple and open framework for data publishing and sharing, bridging heterogeneities on the architectural and syntactic level. Meanwhile, for bridging the semantic heterogeneity, we use ontology patterns, which are relatively small, modular, and reusable ontologies, to provide a way to formally model some form of a standardized and formalized vocabulary that is machine-understandable, while remaining simple and flexible. A prototypical implementation of this approach has been done for data integration over seven data repositories that serve the ocean science community across the U.S.
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