Finding Temporal Graphs Using Keywords

Authors(2) :-Ramaswamy Satyanarayana Sankar, K Somasekhar

Archiving graph data over history is demanded in many applications, such as social network studies, collaborative projects, scientific graph databases, and bibliographies. Typically people are interested in querying temporal graphs. Existing keyword search approaches for graph-structured data are insufficient for querying temporal graphs. This paper initiates the study of supporting keyword-based queries on temporal graphs. We propose a search syntax that is a moderate extension of keyword search, which allows casual users to easily search temporal graphs with optional predicates and ranking functions related to timestamps. To generate results efficiently, we first propose a best path iterator, which finds the paths between two data nodes in each snapshot that is the “best” with respect to three ranking factors. It prunes invalid or inferior paths and maximizes shared processing among different snapshots. Then we develop algorithms that efficiently generate top-k query results. Extensive experiments verified the efficiency and effectiveness of our approach.

Authors and Affiliations

Ramaswamy Satyanarayana Sankar
Department of MCA, RCR Institutions of Management & Technology, Tirupathi, Andhra Pradesh, India
K Somasekhar

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Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1207-1209
Manuscript Number : CSEIT1833585
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Ramaswamy Satyanarayana Sankar, K Somasekhar, "Finding Temporal Graphs Using Keywords", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.1207-1209, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833585

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