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Avalanche - Putting the spirit of the web back into semantic web querying


Basca, C; Bernstein, A (2010). Avalanche - Putting the spirit of the web back into semantic web querying. In: ISWC 2010 Posters & Demonstrations Track: Collected Abstracts, Shanghai, China, 7 November 2010 - 11 November 2010, 177-180.

Abstract

Traditionally Semantic Web applications either included a web crawler or relied on external services to gain access to the Web of Data. Recent efforts, have enabled applications to query the entire Semantic Web for up-to-date results. Such approaches are based on either centralized indexing of semantically annotated meta data or link traversal and URI dereferencing as in the case of Linked Open Data. They pose a number of limiting assumptions, thus breaking the openness principle of the Web. In this demo we present a novel technique called Avalanche,designed to allow a data surfer to query the Semantic Web transparently.The technique makes no prior assumptions about data distribution.Specifically, Avalanche can perform “live” queries over the Web of Data. First, it gets on-line statistical information about the data distribution,as well as bandwidth availability. Then, it plans and executes the query in a distributed manner trying to quickly provide first answers.

Abstract

Traditionally Semantic Web applications either included a web crawler or relied on external services to gain access to the Web of Data. Recent efforts, have enabled applications to query the entire Semantic Web for up-to-date results. Such approaches are based on either centralized indexing of semantically annotated meta data or link traversal and URI dereferencing as in the case of Linked Open Data. They pose a number of limiting assumptions, thus breaking the openness principle of the Web. In this demo we present a novel technique called Avalanche,designed to allow a data surfer to query the Semantic Web transparently.The technique makes no prior assumptions about data distribution.Specifically, Avalanche can perform “live” queries over the Web of Data. First, it gets on-line statistical information about the data distribution,as well as bandwidth availability. Then, it plans and executes the query in a distributed manner trying to quickly provide first answers.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:11 November 2010
Deposited On:22 Feb 2011 16:55
Last Modified:12 Aug 2017 07:18
Other Identification Number:1460

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