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Muthiah Chettiar

dblp:72/606 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
3 papers
Information retrieval · 48% Query processing and optimization · 42% Data models and query languages · 5%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization › keyword query processing
keyword search over databases
0.112009
Efficient keyword search over virtual XML views · VLDB J. 2009
Information retrieval
keyword search
0.112007
Efficient Keyword Search over Virtual XML Views · VLDB 2007
Information retrieval
retrieval models
0.112006
Quark: an efficient XQuery full-text implementation · SIGMOD Conference 2006
Information retrieval
search engines
0.112006
Quark: an efficient XQuery full-text implementation · SIGMOD Conference 2006
Information retrieval › document retrieval › structured document retrieval
XML search
0.112006
Quark: an efficient XQuery full-text implementation · SIGMOD Conference 2006
Data models and query languages
XML data management
0.012009
Efficient keyword search over virtual XML views · VLDB J. 2009
Database system architecture and tuning › view management
XML views
0.012009
Efficient keyword search over virtual XML views · VLDB J. 2009
YearPublicationVenuePosition
2009 Efficient keyword search over virtual XML views
Feng Shao 0002, Chavdar Botev, Anand Bhaskar, Muthiah Chettiar, Fan Yang 0002, Jayavel Shanmugasundaram
VLDB J.5
2007 Efficient Keyword Search over Virtual XML Views
Feng Shao 0002, Chavdar Botev, Anand Bhaskar, Muthiah Chettiar, Fan Yang 0002, Jayavel Shanmugasundaram
VLDB5
2006 Quark: an efficient XQuery full-text implementation
abstract
The XQuery 1.0 and XPath 2.0 Full-text (XQFT) language has been developed by the W3C to extend XQuery and XPath with full-text search capabilities. XQFT allows users to specify a mix of structured and complex full-text predicates, and also allows users to score/rank such queries. The power and flexibility of XQFT gives rise to two interesting questions. First, is it possible to efficiently integrate a full-function XML query language with sophisticated full-text search? Second, is it possible to score and rank arbitrary XQuery and XQFT queries? In this demonstration, we present evidence that it is indeed possible to achieve the above goals. We demonstrate the Quark open-source data management system and show how we can seamlessly and efficiently integrate structured and unstructured search over XML data. In particular, we demonstrate (a) techniques for efficiently evaluating keyword search over virtual XML views, and (b) a framework for scoring both structured and full-text predicates.
Anand Bhaskar, Chavdar Botev, Muthiah Chettiar, Jayavel Shanmugasundaram, Feng Shao 0002, Fan Yang 0002
SIGMOD Conference3