Ramez A. Elmasri

Prof. Dr. Ramez A. Elmasri

College of Engineering, Department of Computer Science and Engineering, The University of Texas at Arlington, Box 19015, Arlington, TX, USA

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 June 2009 in Knowledge and Information Systems
Verified
Journal Article
Closed access
PDF file
KTKamal Taha
Kamal Taha
RERamez A. Elmasri
Ramez A. Elmasri

30 April 2010 in International Journal of Digital Content Technology and its Applications
Verified
Journal Article
Closed access
HLHyun Lee
Hyun Lee
BLByoungyong Lee
Byoungyong Lee
KPKyungseo Park
Kyungseo Park
RERamez A. Elmasri
Ramez A. Elmasri

30 November 2010 in Information Systems
Verified
Journal Article
Closed access
KTKamal Taha
Kamal Taha
RERamez A. Elmasri
Ramez A. Elmasri

1 July 2009 in Journal of Database Management
Verified
Journal Article
Closed access
PDF file
KTKamal Taha
Kamal Taha
RERamez A. Elmasri
Ramez A. Elmasri
OOXKSearch is a semantic search engine that answers XML keyword-based queries as well as loosely structured queries using Object Oriented techniques. There has been extensive research in XML keyword-based and loosely structured querying. Some frameworks work well for certain types of XML data models while fail in others. The reason is that the proposed techniques are based solely on establishing relationships between individual elements while overlooking the context of these elements. The context of a data element is determined by its parent, because it specifies one of the characteristics of the parent. Since data elements are nothing but characteristics of their parents, we observe that we could treat each parent-children set of elements as one unified entity. We then find semantic relationships between the different unified entities. If two distinct unified entities are semantically related, their data elements are also semantically related. The search performance and quality of OOXKSearch were evaluated experimentally and compared with three recent proposed systems. The results showed marked improvement.


31 August 2011
Verified
Journal Article
Closed access
KTKamal Taha
Kamal Taha
RERamez A. Elmasri
Ramez A. Elmasri