D-Index & Metrics Best Publications

Il-Yeol Song

Drexel University
United States

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 32 Citations 5,400 242 World Ranking 9164 National Ranking 4188

Research.com Recognitions

Awards & Achievements

2013 - ACM Distinguished Member

Overview

What is he best known for?

The fields of study Il-Yeol Song is best known for:

Upper ontology
Open Biomedical Ontologies
Ontology components

Il-Yeol Song's looking at Automatic summarization as part of his Text graph and Multi-document summarization and Automatic summarization study. Il-Yeol Song integrates Multi-document summarization and Automatic summarization in his research. In his works, he conducts interdisciplinary research on Information retrieval and Document clustering. His study deals with a combination of Data mining and Data science. With his scientific publications, his incorporates both Data science and Cluster analysis. He undertakes multidisciplinary studies into Cluster analysis and Document clustering in his work. His work on Database is being expanded to include thematically relevant topics such as Conceptual model. His studies link Database with Conceptual model. In his study, he carries out multidisciplinary World Wide Web and Interoperability research.

His most cited work include:

A survey on ontology mapping (515 citations)
A UML profile for multidimensional modeling in data warehouses (265 citations)
Big data technologies and Management: What conceptual modeling can do (172 citations)

What are the main themes of his work throughout his whole career to date

His study on Data mining is mostly dedicated to connecting different topics, such as Cardinality (data modeling). His work in Database is not limited to one particular discipline; it also encompasses Conceptual model. Il-Yeol Song conducts interdisciplinary study in the fields of Programming language and Algorithm through his research. Borrowing concepts from Programming language, Il-Yeol Song weaves in ideas under Algorithm. His study ties his expertise on Schema (genetic algorithms) together with the subject of Information retrieval. Il-Yeol Song undertakes multidisciplinary investigations into Artificial intelligence and Information retrieval in his work. He integrates World Wide Web and Database in his studies. He undertakes multidisciplinary investigations into Data science and Data mining in his work. Il-Yeol Song performs integrative study on Software engineering and Unified Modeling Language.

Il-Yeol Song most often published in these fields:

Data mining (47.37%)
Database (45.61%)
Programming language (40.35%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A survey on ontology mapping

Namyoun Choi;Il-Yeol Song;Hyoil Han.
international conference on management of data (2006)

800 Citations

Analytics over large-scale multidimensional data: the big data revolution!

Alfredo Cuzzocrea;Il-Yeol Song;Karen C. Davis.
data warehousing and olap (2011)

449 Citations

A UML profile for multidimensional modeling in data warehouses

Sergio Luján-Mora;Juan Trujillo;Il-Yeol Song.
data and knowledge engineering (2006)

397 Citations

Conceptual Modeling-ER 2003

Il-Yeol Song;Stephen W. Liddle;Tok-Wang Ling;Peter Scheuermann.
(2003)

250 Citations

Big data technologies and Management

Veda C. Storey;Il-Yeol Song.
data and knowledge engineering (2017)

204 Citations

The thematic and citation landscape of Data and Knowledge Engineering (1985-2007)

Chaomei Chen;Il-Yeol Song;Xiaojun Yuan;Jian Zhang.
data and knowledge engineering (2008)

168 Citations

Data warehousing and OLAP over big data: current challenges and future research directions

Alfredo Cuzzocrea;Ladjel Bellatreche;Il-Yeol Song.
data warehousing and olap (2013)

167 Citations

Big data and data science: what should we teach?

Il-Yeol Song;Yongjun Zhu.
Expert Systems (2016)

161 Citations

Extending the UML for Multidimensional Modeling

Sergio Luján-Mora;Juan Trujillo;Il-Yeol Song.
Lecture Notes in Computer Science (2002)

148 Citations

Integration of association rules and ontologies for semantic query expansion

Min Song;Il-Yeol Song;Xiaohua Hu;Robert B. Allen.
data and knowledge engineering (2007)

139 Citations

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