Keyword search support for automating scientific workflow composition

David Chiu, Travis Hall, Farhana Kabir, Gagan Agrawal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Keyword search is indispensable for locating relevant documents the web. Yet, at the same time, we have also grown aware of its limitations. It is often difficult to reach esoteric information obscured deep within various domains. For example, consider an earth science student who needs to identify how much a certain area in a nearby park has eroded since 1940 for a school project. Certainly, if this exact erosion information had previously been published onto a web page, a search engine could probably locate it effortlessly. But due to the exactness of this query, the likelihood that such a web page exists is slim. However, avenues for obtaining this information exist in the form of scientific workflows, which can be implemented using web service composition.

Original languageEnglish (US)
Title of host publicationScientific and Statistical Database Management - 23rd International Conference, SSDBM 2011, Proceedings
Pages571-572
Number of pages2
DOIs
StatePublished - 2011
Externally publishedYes
Event23rd International Conference on Scientific and Statistical Database Management, SSDBM 2011 - Portland, OR, United States
Duration: Jul 20 2011Jul 22 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6809 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Scientific and Statistical Database Management, SSDBM 2011
CountryUnited States
CityPortland, OR
Period7/20/117/22/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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