文章基本信息

标题：Relational Collaborative Data Keywords Search by Empirical Models
本地全文：下载
作者：Vedakumar.M ; P.Nageswara Rao ; Bullarao Domathoti 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：7
DOI：10.15680/ijircce.2015. 0307069
出版社：S&S Publications
摘要：Extending the keys search paradigm to relational data has been an active area of survey with in thedatabase and uses insights from transaction cost economics and agency theory to posit that uncertainty in inter-firmrelations increases the difficulty in measuring contractual performance thereby leading to contractual incompleteness.To protect from the resultant contractual opportunism, firms are more likely to use collaborative contracting. In thispaper, we present the most extensive empirical performance evaluation of relational keyword search techniques toappear to date in the literature. Our results indicate that many existing search techniques do not provide acceptableperformance for realistic retrieval tasks. In particular, memory consumption precludes many search techniques fromscaling beyond small data sets with tens of thousands of vertices. We also explore the relationship between executiontime and factors varied in previous evaluations; our analysis indicates that most of these factors have relatively littleimpact on performance. In summary, our work confirms previous claims regarding the unacceptable performance ofthese search techniques and underscores the need for standardization in evaluation.
关键词：Collaboration data; IR Community; keywords