Downloads: 116
Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 11, November 2014
Routing Keyword Search Using KERG
Chaitali S. Chaudhari [3] | M. M. Naoghare [8]
Abstract: Searching a keyword on a vast web is somewhat easier, but the search over a enlarge number of structured and linked data creates a difficulty. Routing keywords only to applicable sources can reduce the high cost of searching of queries over all sources. It is difficult for web user to use this web data by means of SQL or SPARQL. We hire a keyword element relationship summary that compactly represents relationships between keywords and the data elements called the set-level keyword-element relationship graph (KERG). A multilevel scoring mechanism is suggested for computing the relevant of routing plans based on the level of keyword, data elements, element sets and subgraphs that connect these elements.
Keywords: search, query, Routing, graph-structured data
Edition: Volume 3 Issue 11, November 2014,
Pages: 1050 - 1052
Similar Articles with Keyword 'search'
Downloads: 160 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Computer Science & Engineering, India, Volume 6 Issue 8, August 2017
Pages: 868 - 874Study of Power Management in Adhoc Networks
Anandhi Giri | S. K. Srivatsa [4]
Downloads: 0
Research Paper, Computer Science & Engineering, India, Volume 11 Issue 6, June 2022
Pages: 672 - 675Increasing the Trust Factor in Cognitive Radio Networks Driven by Software Defined Radio
Shashank Dhananjaya | Yuvaraju B N