Mining ontologies for analogy questions: A similarity-based approach

Tahani Ałubait; Bijan Parsia; Uli Sattler

Mining ontologies for analogy questions: A similarity-based approach

Tahani Ałubait, Bijan Parsia, Uli Sattler

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we propose a new approach to generate analogy questions of the form "A is to B as ⋯ is to ?" from ontologies. Analogy questions are widely used in multiple-choice tests such as SATs and GREs and are used to assess student's higher cognitive abilities. The design, implementation and evaluation of the new approach are presented in this paper. The results show that mining ontologies for such questions is fruitful.

Original language	English
Title of host publication	CEUR Workshop Proceedings\|CEUR Workshop Proc.
Publisher	RWTH Aachen University
Volume	849
Publication status	Published - 2012
Event	OWL: Experiences and Directions Workshop 2012, OWLED 2012 - Heraklion, Crete Duration: 1 Jul 2012 → … http://ceur-ws.org/Vol-849

Publication series

Name	CEUR Workshop Proceedings

Conference

Conference	OWL: Experiences and Directions Workshop 2012, OWLED 2012
City	Heraklion, Crete
Period	1/07/12 → …
Internet address	http://ceur-ws.org/Vol-849

Cite this

@inproceedings{60f3b7b5ac434294a58fb11b773c2799,

title = "Mining ontologies for analogy questions: A similarity-based approach",

abstract = "In this paper, we propose a new approach to generate analogy questions of the form {"}A is to B as ⋯ is to ?{"} from ontologies. Analogy questions are widely used in multiple-choice tests such as SATs and GREs and are used to assess student's higher cognitive abilities. The design, implementation and evaluation of the new approach are presented in this paper. The results show that mining ontologies for such questions is fruitful.",

author = "Tahani A{\l}ubait and Bijan Parsia and Uli Sattler",

year = "2012",

language = "English",

volume = "849",

series = "CEUR Workshop Proceedings",

publisher = "RWTH Aachen University",

booktitle = "CEUR Workshop Proceedings|CEUR Workshop Proc.",

address = "Germany",

note = "OWL: Experiences and Directions Workshop 2012, OWLED 2012 ; Conference date: 01-07-2012",

url = "http://ceur-ws.org/Vol-849",

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TY - GEN

T1 - Mining ontologies for analogy questions: A similarity-based approach

AU - Ałubait, Tahani

AU - Parsia, Bijan

AU - Sattler, Uli

PY - 2012

Y1 - 2012

N2 - In this paper, we propose a new approach to generate analogy questions of the form "A is to B as ⋯ is to ?" from ontologies. Analogy questions are widely used in multiple-choice tests such as SATs and GREs and are used to assess student's higher cognitive abilities. The design, implementation and evaluation of the new approach are presented in this paper. The results show that mining ontologies for such questions is fruitful.

AB - In this paper, we propose a new approach to generate analogy questions of the form "A is to B as ⋯ is to ?" from ontologies. Analogy questions are widely used in multiple-choice tests such as SATs and GREs and are used to assess student's higher cognitive abilities. The design, implementation and evaluation of the new approach are presented in this paper. The results show that mining ontologies for such questions is fruitful.

M3 - Conference contribution

VL - 849

T3 - CEUR Workshop Proceedings

BT - CEUR Workshop Proceedings|CEUR Workshop Proc.

PB - RWTH Aachen University

T2 - OWL: Experiences and Directions Workshop 2012, OWLED 2012

Y2 - 1 July 2012

ER -

Mining ontologies for analogy questions: A similarity-based approach

Abstract

Publication series

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