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Semantic Keyword Search on Large-Scale Semi-Structured Data

Abstract Keyword search provides a simple and user-friendly mechanism for information search, and has become increasingly popular for accessing structured or semi-structured data. However, there are two open issues of keyword search on semi/structured data which are not well addressed by existing work yet.

First, while an increasing amount of investigation has been done in this important area, most existing work concentrates on efficiency instead of search quality and may fail to deliver high quality results from semantic perspectives. Majority of the existing work generates minimal sub-graph results that are oblivious to the entity and relationship semantics embedded in the data and in the user query. There are also studies that define results to ... (more)
Created Date 2016
Contributor Shan, Yi (Author) / Chen, Yi (Advisor) / Bansal, Srividya (Advisor) / Liu, Huan (Committee member) / Davulcu, Hasan (Committee member) / Arizona State University (Publisher)
Subject Computer science / Big Data / Database / Keyword Search / MapReduce / Semantic
Type Doctoral Dissertation
Extent 119 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Computer Science 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis