SENTENCE SIMILARITY MEASURES TO SUPPORT WORKFLOW EXCEPTION HANDLING

A. Aldeeb, D. M. Pearce, K. Crockett, M. J. Stanton

Abstract

Exceptions occurrence in workflow systems is common. Searching in the past exceptions handlers’ records, looking for any similar exception serves as good sources in designing the solution to resolve the exception at hand. In the literature, there are three approaches to retrieve similar workflow exception records from the knowledge base. These approaches are keyword-based approach, concept hierarchies approach and pattern matching retrieval system. However, in a workflow domain, exceptions are often described by workflow participants as a short text using natural language rather than a set of user-defined keywords. Therefore, the above mentioned approaches are not effective in retrieval of relevant information. The proposed approach considers the semantic similarity between the workflow exceptions rather than term-matching schemes, taking account of semantic information and word order information implied in the sentence. Our findings show that sentence similarity measures are capable of supporting the retrieval of relevant information in workflow exception handling knowledge. This paper presents a novel approach to apply sentence similarity measures within the case-based reasoning methodology in workflow exception handling. A data set, comprising of 76 sentence pairs representing instance level workflow exceptions are tested and the results show significant correlation between the automated similarity measures and the human domain expert intuition.

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Paper Citation


in Harvard Style

Aldeeb A., Pearce D., Crockett K. and Stanton M. (2010). SENTENCE SIMILARITY MEASURES TO SUPPORT WORKFLOW EXCEPTION HANDLING . In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8425-05-8, pages 256-263. DOI: 10.5220/0002902502560263


in Bibtex Style

@conference{iceis10,
author={A. Aldeeb and D. M. Pearce and K. Crockett and M. J. Stanton},
title={SENTENCE SIMILARITY MEASURES TO SUPPORT WORKFLOW EXCEPTION HANDLING},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2010},
pages={256-263},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002902502560263},
isbn={978-989-8425-05-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - SENTENCE SIMILARITY MEASURES TO SUPPORT WORKFLOW EXCEPTION HANDLING
SN - 978-989-8425-05-8
AU - Aldeeb A.
AU - Pearce D.
AU - Crockett K.
AU - Stanton M.
PY - 2010
SP - 256
EP - 263
DO - 10.5220/0002902502560263