Characterizing regulatory documents and guidelines based on text mining

Karolin Winter, Stefanie Rinderle-Ma, Wilfried Grossmann, Ingo Feinerer, Zhendong Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Implementing rules, constraints, and requirements contained in regulatory documents such as standards or guidelines constitutes a mandatory task for organizations and institutions across several domains. Due to the amount of domain-specific information and actions encoded in these documents, organizations often need to establish cooperations between several departments and consulting experts to guide managers and employees in eliciting compliance requirements. Providing computer-based guidance and support for this often costly and tedious compliance task is the aim of this paper. The presented methodology utilizes well-known text mining techniques and clustering algorithms to classify (families) of documents according to topics and to derive significant sentences which support users in understanding and implementing compliance-related documents. Applying the approach to collections of documents from the security and the medical domain demonstrates that text mining is a promising domain-independent mean to provide support to the understanding, extraction, and analysis of regulatory documents.

Original languageEnglish
Title of host publicationOn the Move to Meaningful Internet Systems. OTM 2017 Conferences - Confederated International Conferences
Subtitle of host publicationCoopIS, C and TC, and ODBASE 2017, Proceedings
EditorsHerve Panetto, Adrian Paschke, Robert Meersman, Mike Papazoglou, Christophe Debruyne, Walid Gaaloul, Claudio Agostino Ardagna
PublisherSpringer Verlag
Pages3-20
Number of pages18
ISBN (Print)9783319694610
DOIs
StatePublished - 2017
Externally publishedYes
EventConfederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017 - Rhodes, Greece
Duration: 23 Sep 201727 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10573 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceConfederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017
Country/TerritoryGreece
CityRhodes
Period23/09/1727/09/17

Keywords

  • Compliance
  • Regulatory documents
  • Requirements extraction
  • Text mining

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