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Authors: Maya Lincoln and Avi Wasser

Affiliation: ProcessWeb, Israel

ISBN: 978-989-758-049-9

Keyword(s): Business Process Search, Process Ontology, Business Process Repositories, Natural Language Processing, Semantic Search, Operational Search.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Collaboration and e-Services ; Data Engineering ; e-Business ; Enterprise Information Systems ; Enterprise Ontology ; Information Systems Analysis and Specification ; Knowledge Acquisition ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Ontologies and the Semantic Web ; Ontology Engineering ; Ontology Matching and Alignment ; Ontology Sharing and Reuse ; Pattern Recognition ; Process Knowledge and Semantic Services ; Semantic Web ; Soft Computing ; Symbolic Systems

Abstract: In recent years, researchers have become increasingly interested in developing frameworks and tools for searching business process model repositories. While research on searching structured repositories has been extensive, little attention was dedicated to searching business process content within unstructured repositories, such as the Web. We demonstrate why current search technologies are not useful for extracting process content from the Web, and explain the core reasons for the deficiency. We then present a framework for overcoming this material weakness, and discuss possible applications for realizing the suggested method.

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Paper citation in several formats:
Lincoln, M.; Lincoln, M.; Wasser, A. and Wasser, A. (2014). Business Process Search within Unstructured Repositories.In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014) ISBN 978-989-758-049-9, pages 467-474. DOI: 10.5220/0005169404670474

@conference{keod14,
author={Maya Lincoln. and Maya Lincoln. and Avi Wasser. and Avi Wasser.},
title={Business Process Search within Unstructured Repositories},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)},
year={2014},
pages={467-474},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005169404670474},
isbn={978-989-758-049-9},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)
TI - Business Process Search within Unstructured Repositories
SN - 978-989-758-049-9
AU - Lincoln, M.
AU - Lincoln, M.
AU - Wasser, A.
AU - Wasser, A.
PY - 2014
SP - 467
EP - 474
DO - 10.5220/0005169404670474

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