NDLI: Tree-Pattern Similarity Estimation for Scalable Content-based Routing

Content Provider	IEEE Xplore Digital Library
Author	Chand, R. Felber, P. Garofalakis, M.
Copyright Year	2007
Description	Author affiliation: Geneva Univ., Switzerland (Chand, R.)
Abstract	With the advent of XML as the de facto language for data publishing and exchange, scalable distribution of XML data to large, dynamic populations of consumers remains an important challenge. Content-based publish/subscribe systems offer a convenient design paradigm, as most of the complexity related to addressing and routing is encapsulated within the network infrastructure. To indicate the type of content that they are interested in, data consumers typically specify their subscriptions using a tree-pattern specification language (an important subset of XPath), while producers publish XML content without prior knowledge of any potential recipients. Discovering semantic communities of consumers with similar interests is an important requirement for scalable content-based systems: such "semantic clusters" of consumers play a critical role in the design of effective content-routing protocols and architectures. The fundamental problem underlying the discovery of such semantic communities lay in effectively evaluating the similarity of different tree-pattern subscriptions based on the observed document stream. In this paper, we propose a general framework and algorithmic tools for estimating different tree-pattern similarity metrics over continuous streams of XML documents. In a nutshell, our approach relies on continuously maintaining a novel, concise synopsis structure over the observed document stream that allows us to accurately estimate the fraction of documents satisfying various Boolean combinations of different tree-pattern subscriptions. To effectively capture different branching and correlation patterns within a limited amount of space, our techniques use ideas from hash-based sampling in a novel manner that exploits the hierarchical structure of our document synopsis. Experimental results with various XML data streams verify the effectiveness of our approach.
Starting Page	1016
Ending Page	1025
File Size	280726
Page Count	10
File Format	PDF
ISBN	1424408024
DOI	10.1109/ICDE.2007.368960
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-15
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Routing XML Subscriptions Specification languages Filtering Costs Publishing Protocols Sampling methods Encoding
Content Type	Text

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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