A fuzzy visual query language for a domain-specific web search engine

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

5 Scopus citations

Abstract

AλgoVista is a web-based search engine that assists programmers to find algorithms and implementations that solve specific problems. AλgoVista is not keyword based but rather requires users to provide - in a very simple textual language - input output samples that describe the behavior of their needed algorithm. Unfortunately, even this simple language has proven too challenging for casual users. To overcome this problem and make AλgoVista more accessible to novice programmers, we are designing and prototyping a visuall anguage for creating AλgoVista queries. Since web users do not have the patience to learn fancy query languages (be they textual or visual), our goal is to make this language and its implementation natural enough to require virtually no explanation or user training.

Original languageEnglish (US)
Title of host publicationDiagrammatic Representation and Inference - 2nd International Conference, Diagrams 2002, Proceedings
EditorsBernd Meyer, Mary Hegarty, N. Hari Narayanan
PublisherSpringer-Verlag
Pages176-190
Number of pages15
ISBN (Electronic)3540435611, 9783540435617
StatePublished - Jan 1 2002
Event2nd International Conference on Diagrammatic Representation and Inference, Diagrams 2002 - Callaway Gardens, GA, United States
Duration: Apr 18 2002Apr 20 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2317
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Diagrammatic Representation and Inference, Diagrams 2002
CountryUnited States
CityCallaway Gardens, GA
Period4/18/024/20/02

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Collberg, C. S. (2002). A fuzzy visual query language for a domain-specific web search engine. In B. Meyer, M. Hegarty, & N. Hari Narayanan (Eds.), Diagrammatic Representation and Inference - 2nd International Conference, Diagrams 2002, Proceedings (pp. 176-190). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2317). Springer-Verlag.