Lifecycle Business Process Compliance Management: A Semantically-Enabled Framework

Elgammal, Amal; Türetken, Oktay

doi:10.1109/cloudcomp.2015.7149646

Cited by 12 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Elgammal et al [9] introduced a detail compliance requirement framework and CRL, which is formally grounded on temporal logic and enabled abstract pattern based specification of compliance requirements, was used. The compliance pattern helped non-technical users to represent desired properties and constraints abstractly.…”

Section: Related Workmentioning

confidence: 99%

An Algorithm-Centric Approach to Enhance Business Process Compliance Management

Arogundade

Misra

Odusami

et al. 2020

JERA

View full text Add to dashboard Cite

The diversity of enterprise domains is one of the significant factors that add to the challenges confronting organizations when managing compliance, and it, therefore, contributes to the cost of compliance. In particular, there is an indication that the inadequacy of a general approach to analyzing compliance documents impedes adequate compliance management practice. Taking an algorithmic-centric approach to tackling this challenge, this paper proposed algorithms and techniques intended to aid useful extraction, classification and analysis of dataflow, control flow, and time constraints in compliance management domain for different stakeholders. The algorithms and techniques were implemented and validated through two case studies and afterward evaluated for its adoption in practice.

show abstract

Section: Related Workmentioning

confidence: 99%

An Algorithm-Centric Approach to Enhance Business Process Compliance Management

Arogundade

Misra

Odusami

et al. 2020

JERA

View full text Add to dashboard Cite

show abstract

“…Some researchers propose a law ontology approaches as a solution for law compliance. Some other researchers proposed regulatory compliance frameworks with the business process [4]. Moreover, other studies were conducted to regulatory compliance for requirements engineering [5] [6] [7] Enterprise architecture frameworks are used to guide the creation of enterprise models in terms of three domains namely business architecture, IS architecture, and technology architecture.…”

Section: Introductionmentioning

confidence: 99%

Law Architecture for Regulatory-Compliant Public Enterprise Model: A Focus on Healthcare Reform in Egypt

Mohamed¹,

El-Bendary²,

Abdo³

2021

IJACSA

View full text Add to dashboard Cite

Public business operations are governed by a set of legal sources, which regulate their implementation under administrative laws that are increasingly influencing software system design and development. Enterprise Architecture (EA) is a critical approach for driving business and Information Systems (IS) transformation in the public sector. On the other hand, EA frameworks lack representation schemas that support law models. Understanding of the law Architecture in the government domain is required for EA work and is thus the first architecture activity that must be completed. As EA approaches for Law compliance reviews are performed by legal experts, there is a gap between law experts and technical system architects. To cover these gaps, this paper proposes a novel framework for analyzing the administrative laws, extracting the legal policies and legal rules, identify their relationships with other EA domains, and identifying the law compliance requirements. Moreover, the integration of our proposed law architecture framework with existing EA frameworks to reach a law-compliant public enterprise model is identified. Finally, the applicability of the proposed framework is shown and validated through a case study. Moreover, subject matter experts of the legal domain also evaluated the extracted legal policies and rules during the implementation of our proposed framework.

show abstract

“…[13][14][15]. Ontology construction, being a complex, iterative and incremental task, it`s expected at the end of each iteration, domain specialists should cross-reference and verify, that the knowledge provided by them, are accurately and consistently modelled, and embedded to the ontology by the ontologists [16][17]. Then the errors located can be corrected then and there, without waiting until it reaches to complex conceptual flaws resulting in an erroneous schema.…”

Section: Introductionmentioning

confidence: 99%

Fully Automated Ontology Increment`S user Guide Generation

Vidanage¹,

Mohemad²,

Noor³

et al. 2021

IJACSA

View full text Add to dashboard Cite

This research focuses on a domain and schema independent user-guide generation for ontology increments. Having a user guide or a catalogue/manual is vital for quick and effective knowledge dissemination. If a user guide can be generated for an ontology as well, there could be ample advantages. Stakeholders can scan across the user guide of the ontology and verify the eligibility of it, against the intended purposes. Additionally, this could be useful in ontology`s version management requisites and knowledge verification requirements as well. Even though, ontology construction being iterative and incremental operational, there will be several intermediate versions before it reaches to the fine-tuned final version. Therefore, manual user guide creation will be a tedious and impossible operation. Consequently, this research focuses on a novel algorithmic approach to domain and schema independent ontology verbalization. A special algorithm is created to alter the functionality of Google's AliceBot to work as a verbalizer, instead of a chatterbot. Artificial Intelligent Modelling Language (AIML) technology is utilized to create the templates for the ontology specific knowledge embeddings. This entire process is fully automated via the proposed novel algorithm, which is a key contribution of this research. Eventually, the generated user guide generation tool is evaluated against three different domains with the involvement of fifteen stakeholders and 82% of averaged acceptance has been yielded.

show abstract

Lifecycle Business Process Compliance Management: A Semantically-Enabled Framework

Cited by 12 publications

References 12 publications

An Algorithm-Centric Approach to Enhance Business Process Compliance Management

An Algorithm-Centric Approach to Enhance Business Process Compliance Management

Law Architecture for Regulatory-Compliant Public Enterprise Model: A Focus on Healthcare Reform in Egypt

Fully Automated Ontology Increment`S user Guide Generation

Contact Info

Product

Resources

About