OOXKSearch: A Search Engine for Answering XML Keyword and Loosely Structured Queries Using OO Techniques

OOXKSearch: A Search Engine for Answering XML Keyword and Loosely Structured Queries Using OO Techniques

Kamal Taha, Ramez Elmasri
Copyright: © 2009 |Pages: 33
DOI: 10.4018/jdm.2009070102
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

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.

Complete Article List

Search this Journal:
Reset
Volume 35: 1 Issue (2024)
Volume 34: 3 Issues (2023)
Volume 33: 5 Issues (2022): 4 Released, 1 Forthcoming
Volume 32: 4 Issues (2021)
Volume 31: 4 Issues (2020)
Volume 30: 4 Issues (2019)
Volume 29: 4 Issues (2018)
Volume 28: 4 Issues (2017)
Volume 27: 4 Issues (2016)
Volume 26: 4 Issues (2015)
Volume 25: 4 Issues (2014)
Volume 24: 4 Issues (2013)
Volume 23: 4 Issues (2012)
Volume 22: 4 Issues (2011)
Volume 21: 4 Issues (2010)
Volume 20: 4 Issues (2009)
Volume 19: 4 Issues (2008)
Volume 18: 4 Issues (2007)
Volume 17: 4 Issues (2006)
Volume 16: 4 Issues (2005)
Volume 15: 4 Issues (2004)
Volume 14: 4 Issues (2003)
Volume 13: 4 Issues (2002)
Volume 12: 4 Issues (2001)
Volume 11: 4 Issues (2000)
Volume 10: 4 Issues (1999)
Volume 9: 4 Issues (1998)
Volume 8: 4 Issues (1997)
Volume 7: 4 Issues (1996)
Volume 6: 4 Issues (1995)
Volume 5: 4 Issues (1994)
Volume 4: 4 Issues (1993)
Volume 3: 4 Issues (1992)
Volume 2: 4 Issues (1991)
Volume 1: 2 Issues (1990)
View Complete Journal Contents Listing