NDLI: An Extension of LCA Based XML Keyword Search

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2008 International Workshop on Information-Explosion and Next Generation Search

Table of contents

Preface

Organization

Statistical Learning in Web Search

Chinese Web Infrastructure Building: Challenges and Our Roadmap

Content-Based Video Search: Is there a Need, and Is it Possible?

An Examination of the Effectiveness of Social Tagging for Resource Discovery

QueReSeek: Community-Based Web Navigation by Reverse Lookup of Search History

Querying RDF Data Using Dynamic Concise Bounded Description

SIKA: A Decentralized Architecture for Knowledge Grid Resource Management

Organizing User Comments in a Social Video Sharing System by Temporal Duration and Pointing Region

Visualizing Changes in Coordinate Terms over Time: An Example of Mining Repositories of Temporal Data through their Search Interfaces

Global Dynamics Network Construction from the Web

Finding RkNN Straightforwardly with Large Secondary Storage

KANSHIN: A Cross-Lingual Concern Analysis System Using Multilingual Blog Articles

Hypothesis and Verification Based Measurement of Information Literacy

Extending Keyword Search to Metadata on Relational Databases

An Extension of LCA Based XML Keyword Search

Author index

An Extension of LCA Based XML Keyword Search

Content Provider	IEEE Xplore Digital Library
Author	Supasitthimethee, U. Shimizu, T. Yoshikawa, M. Porkaew, K.
Copyright Year	2008
Description	Author affiliation: Sch. of Inf. Technol., King Mongkut's Univ. of Technol. Thonburi, Bangkok (Supasitthimethee, U.)
Abstract	One of the most convenient ways to query XML data is a keyword search because it does not require any knowledge about XML structure and without the need to learn a new user interface. However, keyword search interface is very flexible. It is hard for a system to decide which node is likely to be chosen as a return node and how much information should be included in the result. To address this challenge, we propose an extension of LCA based XML keyword search. First, to determine a return node, we provide a query syntax that the users can tell the system which node they are really interested in. In case that the users do not explicitly specify return information, our system will automatically analyze and choose appropriate return nodes by inferring from user keywords. Second, to return a meaningful result, we investigate the problem of the return information in the LCA and the proximity search approaches. To this end, we introduce the Lowest Element Node (LEN) and define our simple rules without any requirement on the schema information such as DTD or XML Schema. Our experiment results indicate that our system not only infers the right return nodes but also generates compact and meaningful results.
Starting Page	104
Ending Page	111
File Size	412986
Page Count	8
File Format	PDF
ISBN	9780769533001
DOI	10.1109/INGS.2008.8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Keyword Search Query processing Keyword search XML User interfaces Electronic mail LCA Indexes Database languages
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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