NDLI: Extracting Web Query Interfaces Based on Form Structures and Semantic Similarity

Content Provider	IEEE Xplore Digital Library
Author	Jun Hong Zhongtian He Bell, D.A.
Copyright Year	2009
Abstract	Web databases are now pervasive. Such a database can be accessed via its query interface (usually HTML query form) only. Extracting Web query interfaces is a critical step in data integration across multiple Web databases, which creates a formal representation of a query form by extracting a set of query conditions in it. This paper presents a novel approach to extracting Web query interfaces. In this approach, a generic set of query condition rules are created to define query conditions that are semantically equivalent to SQL search conditions. Query condition rules represent the semantic roles that labels and form elements play in query conditions, and how they are hierarchically grouped into constructs of query conditions. To group labels and form elements in a query form, we explore both their structural proximity in the hierarchy of structures in the query form, which is captured by a tree of nested tags in the HTML codes of the form, and their semantic similarity, which is captured by various short texts used in labels, form elements and their properties. We have implemented the proposed approach and our experimental results show that the approach is highly effective.
Starting Page	1259
Ending Page	1262
File Size	456757
Page Count	4
File Format	PDF
ISBN	9781424434220
ISSN	10844627
DOI	10.1109/ICDE.2009.215
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases HTML Data mining Filling Books Data engineering Helium Computer science Marketing and sales Humans deep Web Query interface extraction Web data integration access to Web databases
Content Type	Text
Resource Type	Article
Subject	Signal Processing Information Systems Software

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