Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks

Derek Sleeman, E. Thomas, A. Aiken

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

Abstract

The paper describes several classes of tasks namely solving word problems, and classifying datasets using machine learning techniques, where the tasks may not be solvable because the information provided is incomplete. We explore the Situation where one has a central concept and the missing information can either be a further descriptor / field of that concept or a (distantly) related concept. We describe how an ontology search engine has assisted in solving such problems, by summarizing the frequency of occurrence of descriptors found in a group of relevant ontologies, and by reporting which concepts are related to the central concept. The search engine used in this work has been ONTOSEARCH2. We further speculate about how Such a "concept web" might be used to Support the analysis and generation of natural language texts as well as spoken language.

Original languageEnglish
Title of host publicationApplications and innovations in intelligent systems XVI
Subtitle of host publicationProceedings of AI-2008, The Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
EditorsTony Allen, Richard Ellis, Miltos Petridis
Place of PublicationGodalming
PublisherSpringer-Verlag
Pages117-130
Number of pages14
ISBN (Print)978-1-84882-214-6
Publication statusPublished - 2009

Keywords

  • artificial intelligence
  • intelligent systems

Cite this

Sleeman, D., Thomas, E., & Aiken, A. (2009). Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks. In T. Allen, R. Ellis, & M. Petridis (Eds.), Applications and innovations in intelligent systems XVI: Proceedings of AI-2008, The Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 117-130). Godalming: Springer-Verlag.

Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks. / Sleeman, Derek; Thomas, E.; Aiken, A.

Applications and innovations in intelligent systems XVI: Proceedings of AI-2008, The Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. ed. / Tony Allen; Richard Ellis; Miltos Petridis. Godalming : Springer-Verlag, 2009. p. 117-130.

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

Sleeman, D, Thomas, E & Aiken, A 2009, Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks. in T Allen, R Ellis & M Petridis (eds), Applications and innovations in intelligent systems XVI: Proceedings of AI-2008, The Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Springer-Verlag, Godalming, pp. 117-130.
Sleeman D, Thomas E, Aiken A. Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks. In Allen T, Ellis R, Petridis M, editors, Applications and innovations in intelligent systems XVI: Proceedings of AI-2008, The Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Godalming: Springer-Verlag. 2009. p. 117-130
Sleeman, Derek ; Thomas, E. ; Aiken, A. / Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks. Applications and innovations in intelligent systems XVI: Proceedings of AI-2008, The Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. editor / Tony Allen ; Richard Ellis ; Miltos Petridis. Godalming : Springer-Verlag, 2009. pp. 117-130
@inproceedings{4f3141521080424c9cdaa9cc366cebb2,
title = "Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks",
abstract = "The paper describes several classes of tasks namely solving word problems, and classifying datasets using machine learning techniques, where the tasks may not be solvable because the information provided is incomplete. We explore the Situation where one has a central concept and the missing information can either be a further descriptor / field of that concept or a (distantly) related concept. We describe how an ontology search engine has assisted in solving such problems, by summarizing the frequency of occurrence of descriptors found in a group of relevant ontologies, and by reporting which concepts are related to the central concept. The search engine used in this work has been ONTOSEARCH2. We further speculate about how Such a {"}concept web{"} might be used to Support the analysis and generation of natural language texts as well as spoken language.",
keywords = "artificial intelligence, intelligent systems",
author = "Derek Sleeman and E. Thomas and A. Aiken",
year = "2009",
language = "English",
isbn = "978-1-84882-214-6",
pages = "117--130",
editor = "Tony Allen and Richard Ellis and Miltos Petridis",
booktitle = "Applications and innovations in intelligent systems XVI",
publisher = "Springer-Verlag",

}

TY - GEN

T1 - Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks

AU - Sleeman, Derek

AU - Thomas, E.

AU - Aiken, A.

PY - 2009

Y1 - 2009

N2 - The paper describes several classes of tasks namely solving word problems, and classifying datasets using machine learning techniques, where the tasks may not be solvable because the information provided is incomplete. We explore the Situation where one has a central concept and the missing information can either be a further descriptor / field of that concept or a (distantly) related concept. We describe how an ontology search engine has assisted in solving such problems, by summarizing the frequency of occurrence of descriptors found in a group of relevant ontologies, and by reporting which concepts are related to the central concept. The search engine used in this work has been ONTOSEARCH2. We further speculate about how Such a "concept web" might be used to Support the analysis and generation of natural language texts as well as spoken language.

AB - The paper describes several classes of tasks namely solving word problems, and classifying datasets using machine learning techniques, where the tasks may not be solvable because the information provided is incomplete. We explore the Situation where one has a central concept and the missing information can either be a further descriptor / field of that concept or a (distantly) related concept. We describe how an ontology search engine has assisted in solving such problems, by summarizing the frequency of occurrence of descriptors found in a group of relevant ontologies, and by reporting which concepts are related to the central concept. The search engine used in this work has been ONTOSEARCH2. We further speculate about how Such a "concept web" might be used to Support the analysis and generation of natural language texts as well as spoken language.

KW - artificial intelligence

KW - intelligent systems

M3 - Conference contribution

SN - 978-1-84882-214-6

SP - 117

EP - 130

BT - Applications and innovations in intelligent systems XVI

A2 - Allen, Tony

A2 - Ellis, Richard

A2 - Petridis, Miltos

PB - Springer-Verlag

CY - Godalming

ER -