reboan 11 oktt poster 1

FAKULTAS

UNIVERSITAS
INDONESIA

ILMU
KOMPUTER

reboan
SEMINAR!
Wednesday, Oktober 11 th , 2017 // 1.00 - 3.00 pm
nd

Room 1213, Building A 2 Floor
Faculty of Computer Science, Universitas Indonesia, Depok
Speaker:

Adila A. Krisnadhi, Ph.D
(Dosen Fasilkom UI )
Short Biography
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 includingInternational 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).
Research Abstract
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.
Topic :

Cross-institution Data Integration
with Ontology Patterns
and Linked Data Technology.
Kampus UI Depok, Indonesia 16424

Fax : +62 21 786 3415

@FASILKOM_UI

Telp : +62 21 786 3419

Email : [email protected]

@Fakultas Ilmu Komputer UI