Frederik Gailly

ORCID: 0000-0003-0481-9745
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About
Contact & Profiles
Research Areas
  • Semantic Web and Ontologies
  • Business Process Modeling and Analysis
  • Service-Oriented Architecture and Web Services
  • Advanced Database Systems and Queries
  • Sharing Economy and Platforms
  • Data Quality and Management
  • Transportation and Mobility Innovations
  • Digital Platforms and Economics
  • Digital Marketing and Social Media
  • Model-Driven Software Engineering Techniques
  • Electronic Health Records Systems
  • Big Data and Business Intelligence
  • Data Mining Algorithms and Applications
  • Advanced Text Analysis Techniques
  • Information Technology Governance and Strategy
  • Financial Reporting and XBRL
  • Complex Systems and Decision Making
  • Data Visualization and Analytics
  • Digital Economy and Work Transformation
  • Slime Mold and Myxomycetes Research
  • Collaboration in agile enterprises
  • Scientific Computing and Data Management
  • Facility Location and Emergency Management
  • Machine Learning in Healthcare
  • Organizational Management and Leadership

Ghent University
2015-2024

Flanders Make (Belgium)
2022-2024

Ghent University Hospital
2005-2023

Vrije Universiteit Brussel
2010-2011

Solvay (Belgium)
2011

Ontology-driven conceptual modeling (ODCM) is still a relatively new research domain in the field of information systems and there much discussion on how ODCM should be performed what focus this be. Therefore, article aims to critically surve y existing literature order assess kind that has been over years, analyze nature contributions establish its current state art by positioning, evaluating interpreting relevant date related ODCM. To understand identify any gaps opportunities, our study...

10.3233/ao-150154 article EN Applied Ontology 2015-12-04

A sharing platform is a digital that facilitates access to underutilized goods by renting or lending them others. Users become less dependent on ownership which improves efficiency, sustainability, and the sense of community. The Sharing Economy (SE) considered complex domain because value co-creation can occur between multiple types users. Developing software offers right functionality for intended therefore challenging. To address this complexity, an ontology be utilized, explicit...

10.3390/su14042076 article EN Sustainability 2022-02-11

The Resources-Events-Agents (REA) model is a semantic data for the development of enterprise information systems. Although this has been proposed as benchmark modelling, only few studies have attempted to empirically validate claimed benefits REA modelling. Moreover, these focused on evaluation REA-based system implementations rather than directly assessing REA-modelled conceptual schemas that systems are based on. This paper presents laboratory experiment measured user understanding...

10.1111/j.1365-2575.2007.00253.x article EN Information Systems Journal 2007-11-16

ABSTRACT: Recent Resource, Event, Agent (REA) research has focused on defining and theoretically justifying the ontology's contents. Here, we elaborate more practical issues related to REA. First, classify REA its applications using ontology classification schemes application frameworks. This analysis clarifies REA's potential but also reveals weaknesses that may impede operationalization. Next, propose a new specification uses Unified Modeling Language (UML) profile for graphically...

10.2308/jis.2008.22.2.219 article EN Journal of Information Systems 2008-09-01

After observing various inexperienced modelers constructing a business process model based on the same textual case description, it was noted that great differences existed in quality of produced models. The impression arose certain issues originated from cognitive failures during modeling process. Therefore, we developed an explanatory theory describes mechanisms affect effectiveness and efficiency construction: Structured Process Modeling Theory (SPMT). This states accuracy speed are...

10.1007/s10796-015-9585-y article EN cc-by Information Systems Frontiers 2015-07-27

ABSTRACT Discovering business rules is a complex task for which many approaches have been proposed including analysis, extraction from code, and data mining. In this paper, novel approach presented in an enterprise model are generated based on the semantics of domain ontology. Starting need to be defined, consists four steps: (1) classification terms ontology (semantic annotation), (2) matching constructs with ontology-based Enterprise Model Configurations (EMCs), (3) determination Business...

10.2308/isys-50428 article EN Journal of Information Systems 2013-02-01
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