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Authors: Konstantin Sokolov 1 ; Dimitri Timofeev 2 and Alexander Samochadin 2

Affiliations: 1 Peter the Great St. Petersburg Polytechnic University and St. Petersburg State University, Russian Federation ; 2 Peter the Great St. Petersburg Polytechnic University, Russian Federation

Keyword(s): Business Process Management, Process Extraction, Text Mining, Natural Language Processing.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Process Management ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Intelligent Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Metadata and Structured Documents ; Symbolic Systems ; Tools and Technology for Knowledge Management

Abstract: In order to extract a process model from natural language sources, process elements such as agents, resources or actions have to be identified across one or multiple texts. Natural language descriptions tend to provide only partial and potentially contradictory information. Inability to systematically reconcile partial information significantly limits capabilities of current systems. We propose to address this problem by means of semantic unification integrated in the common text processing pipeline.

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Paper citation in several formats:
Sokolov, K.; Timofeev, D. and Samochadin, A. (2015). Process Extraction from Texts using Semantic Unification. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KMIS; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 254-259. DOI: 10.5220/0005638302540259

@conference{kmis15,
author={Konstantin Sokolov. and Dimitri Timofeev. and Alexander Samochadin.},
title={Process Extraction from Texts using Semantic Unification},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KMIS},
year={2015},
pages={254-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005638302540259},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KMIS
TI - Process Extraction from Texts using Semantic Unification
SN - 978-989-758-158-8
IS - 2184-3228
AU - Sokolov, K.
AU - Timofeev, D.
AU - Samochadin, A.
PY - 2015
SP - 254
EP - 259
DO - 10.5220/0005638302540259
PB - SciTePress

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