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  1. Proceedings of the First International Workshop on Keyword Search on Structured Data (KEYS '09)
  2. Hierarchical result views for keyword queries over relational databases
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Structured data and web documents: better together?
Querying text databases and the web: beyond traditional keyword search
Hierarchical result views for keyword queries over relational databases
Query segmentation using conditional random fields
Building search applications with Marklogic Server
Efficient top-k algorithms for fuzzy search in string collections
Keyword query cleaning using hidden Markov models
XML keyword query refinement
A first study on strategies for generating workflow snippets
Do we mean the same?: disambiguation of extracted keyword queries for database search
Language-model-based ranking in entity-relation graphs
Generic and effective semi-structured keyword search
DBDOC: querying and browsing databases and interrelated documents

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Hierarchical result views for keyword queries over relational databases

Content Provider ACM Digital Library
Author Tatemura, Junichi Sawires, Arsany Wang, Shiyuan Po, Oliver Agrawal, Divyakant El Abbadi, Amr
Abstract Enabling keyword queries over relational databases (KQDB) benefits a large population of users who have difficulty in understanding the database schema or using SQLs. However, since there are different interpretations for a query, the results of KQDB that mix different possible answers still make it hard for users to consume and extract the information that is interesting to them. To help users with different preferences understand the query results and quickly locate the desired information, this paper proposes generating easy-to-navigate hierarchical result views for each interpretation to the query on the fly. We define the structures for organizing these hierarchical views, provide metrics for evaluating them in terms of user navigation efforts, and develop an efficient algorithm for generating the view structures. The effectiveness and efficiency of the proposed approaches are verified through an experimental study.
Starting Page 3
Ending Page 8
Page Count 6
File Format PDF
ISBN 9781605585703
DOI 10.1145/1557670.1557676
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-06-28
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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