Fajar J. Ekaputra

Fajar J. Ekaputra
Vienna University of Economics and Business | WU · Department of Information Systems and Operations

Dr.techn.

About

83
Publications
17,626
Reads
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756
Citations
Introduction
Hi there! I currently work as an Assistant Professor at Wirtschaftsuniversität Wien and a Post-Doctoral researcher at TU Wien. My research interest is mainly in the Semantic Web, Knowledge Graphs, and their applications in various application domains, including Cyber-Physical Systems (CPS), material engineering, and personal data management.
Additional affiliations
November 2018 - March 2024
TU Wien
Position
  • PostDoc
January 2017 - October 2018
TU Wien
Position
  • Researcher
January 2014 - December 2016
TU Wien
Position
  • Research Assistant
Education
November 2012 - November 2018
TU Wien
Field of study
  • Informatics
January 2009 - October 2010
Bandung Institute of Technology
Field of study
  • Digital Media and Game Technology
August 2003 - July 2008
Bandung Institute of Technology
Field of study
  • Informatics

Publications

Publications (83)
Article
Full-text available
Small and medium-sized organisations face challenges in acquiring, storing and analysing personal data, particularly sensitive data (e.g., data of medical nature), due to data protection regulations, such as the GDPR in the EU, which stipulates high standards in data protection. Consequently, these organisations often refrain from collecting data c...
Chapter
Full-text available
Log files are a vital source of information for keeping systems running and healthy. However, analyzing raw log data, i.e., textual records of system events, typically involves tedious searching for and inspecting clues, as well as tracing and correlating them across log sources. Existing log management solutions ease this process with efficient da...
Article
Full-text available
Today’s industrial production plants are complex mechatronic systems. In the course of the production plant lifecycle, engineers from a variety of disciplines (e.g., mechanics, electronics, automation) need to collaborate in multi-disciplinary settings that are characterized by heterogeneity in terminology, methods, and tools. This collaboration yi...
Chapter
Both symbolic and subsymbolic AI research have seen a recent surge driven by innovative approaches, such as neural networks and knowledge graphs. Further opportunities lie in the combined use of these two paradigms in ways that benefit from their complementary strengths. Accordingly, there is much research at the confluence of these two research ar...
Article
The concept of Explainable Cyber-Physical Systems (ExpCPSs) aims to provide clear explanations for system decisions and actions, which is crucial for understanding, managing, and controlling high-risk Cyber-Physical Systems (CPSs), such as intelligent energy distribution networks or Smart Grids (SGs). Existing approaches for ExpCPSs, however, are t...
Article
As available from https://zenodo.org/records/13304677 : This paper discusses the benefit for materials industries to adopt Semantic Knowledge Management (SKM) into its research and development functions and beyond. The approach and results of the OntoTrans project are presented, combining SKM with a data- and model-based approach to address complex...
Preprint
Full-text available
Artificial Intelligence (AI) Auditability is a core requirement for achieving responsible AI system design. However, it is not yet a prominent design feature in current applications. Existing AI auditing tools typically lack integration features and remain as isolated approaches. This results in manual, high-effort, and mostly one-off AI audits, ne...
Article
Full-text available
Trust is an essential pre-condition for the acceptance of digital infrastructures and services. Transparency has been identified as one mechanism for increasing trustworthiness. Yet, it is difficult to assess to which extent and how exactly different aspects of transparency contribute to trust, or potentially impede it in cases of overwhelming comp...
Article
Full-text available
This work presents a maturity model for assessing catalogues of semantic artefacts, one of the keystones that permit semantic interoperability of systems. We defined the dimensions and related features to include in the maturity model by analysing the current literature and existing catalogues of semantic artefacts provided by experts. In addition,...
Article
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Privacy requirements engineering is a crucial aspect of privacy engineering. It aims to integrate privacy principles into organizational and technical processes throughout the software development lifecycle. This specialized field involves various strategies, including compliance with regulatory frameworks, asset analysis, and system diagram develo...
Article
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In the context of Cyber-Physical Systems (CPS), understanding system behaviors is crucial for ensuring reliability, efficiency, and trust. However, due to the increasing complexity of the modern CPS, gaining such understanding is becoming more challenging. This paper provides a foundation for explaining system behavior through detected system event...
Article
Full-text available
Most research funders require Data Management Plans (DMPs). The review process can be time consuming, since reviewers read text documents submitted by researchers and provide their feedback. Moreover, it requires specific expert knowledge in data stewardship, which is scarce. Machine-actionable Data Management Plans (maDMPs) and semantic technologi...
Chapter
In line with the general trend in artificial intelligence research to create intelligent systems that combine learning and symbolic techniques (a.k.a. neuro-symbolic systems), a new sub-area has emerged that focuses on combining machine learning (ML) components with techniques developed by the Semantic Web (SW) community – Semantic Web Machine Lear...
Chapter
Full-text available
The overall AI trend of creating neuro-symbolic systems is reflected in the Semantic Web community with an increased interest in the development of systems that rely on both Semantic Web resources and Machine Learning components (SWeMLS, for short). However, understanding trends and best practices in this rapidly growing field is hampered by a lack...
Chapter
Based on a real world use case, we developed and evaluated a hybrid AI system that aims to extract key elements from legal permits by combining methods from the Semantic Web and Machine Learning. Specifically, we modelled the available background knowledge in a custom Knowledge Graph, which we exploited together with the usage of different language...
Preprint
Full-text available
The work presented in this paper is twofold. On the one hand, we aim to define the concept of semantic artefact catalogue (SAC) by overviewing various definitions used to clarify the meaning of our target of observation, including the meaning of the focal item: semantic artefacts. On the other hand, we aim to identify metrics and dimensions that ca...
Preprint
Full-text available
In line with the general trend in artificial intelligence research to create intelligent systems that combine learning and symbolic components, a new sub-area has emerged that focuses on combining machine learning (ML) components with techniques developed by the Semantic Web (SW) community - Semantic Web Machine Learning (SWeML for short). Due to i...
Article
Full-text available
In line with the general trend in artificial intelligence research to create intelligent systems that combine learning and symbolic components, a new sub-area has emerged that focuses on combining machine learning (ML) components with techniques developed by the Semantic Web (SW) community – Semantic Web Machine Learning (SWeML for short). Due to i...
Conference Paper
Full-text available
Knowledge graphs have been recognized in manufacturing as a suitable technology for integration of multidisciplinary knowledge from heterogeneous data sources. The effective reuse of this knowledge can better inform stakeholders in their decision making processes and consequently, establish a competitive advantage. In contrast to the utilization of...
Poster
Full-text available
We report on the current state of the development of the Open Translation Environment (OTE), which is based on the Elementary Multiperspective Material Ontology (EMMO) – a top-level ontology for applied science, to support Translators in the Materials domain. We describe the conceptual architecture of the OTE, as well as some of its main components...
Chapter
Semantic Web Machine Learning Systems (SWeMLS) characterise applications, which combine symbolic and subsymbolic components in innovative ways. Such hybrid systems are expected to benefit from both domains and reach new performance levels for complex tasks. While existing taxonomies in this field focus on building blocks and patterns for describing...
Article
Full-text available
The concept of Data Management Plan (DMP) has emerged as a fundamental tool to help researchers through the systematical management of data. The Research Data Alliance DMP Common Standard (DCS) working group developed a set of universal concepts characterising a DMP so it can be represented as a machine-actionable artefact, i.e., machine-actionable...
Presentation
OntoTransTraining Framework; Translation for an exemplary use case; Exploratory Search System (ESS); OTE-API / OTE Lib; TriplestoreDB (OntoKB); Results to the translator
Preprint
Full-text available
The concept of Data Management Plan (DMP) has emerged as a fundamental tool to help researchers through the systematical management of data. The Research Data Alliance DMP Common Standard (DCS) working group developed a core set of universal concepts characterising a DMP in the pursuit of producing a DMP as a machine-actionable information artefact...
Conference Paper
Full-text available
Naturally, not all researchers can develop their own software to search for academic publications from digital libraries. Nevertheless, at several stages of their research, they will need to search digital libraries for relevant scientific publications and bibliometric information. There are typically two approaches used by researchers to search fo...
Preprint
We present SPARQLGPViz, a tool to visualize graph pat-terns in a SPARQL Query. The initial implementation of this tool dis-plays exemplary SPARQL query using visual representation to identifythe variables and their relationship for didactic purposes (i.e. teachinghow to query using SPARQL).
Chapter
Full-text available
Ensuring data confidentiality and integrity are key concerns for information security professionals, who typically have to obtain and integrate information from multiple sources to detect unauthorized data modifications and transmissions. The instrumentation that operating systems provide for the monitoring of file system level activity can yield i...
Article
Full-text available
Smart city infrastructures such as transportation and energy networks are evolving into so-called cyber physical social systems (CPSSs), which collect and leverage citizens’ data in order to adapt services to citizens’ needs. The privacy implications of such systems are, however, significant and need to be addressed. Current systems either try to e...
Chapter
Full-text available
This paper introduces an evolving cybersecurity knowledge graph that integrates and links critical information on real-world vulnerabilities, weaknesses and attack patterns from various publicly available sources. Cybersecurity constitutes a particularly interesting domain for the development of a domain-specific public knowledge graph, particularl...
Chapter
Full-text available
Managing privacy and understanding handling of personal data has turned into a fundamental right, at least within the European Union, with the General Data Protection Regulation (GDPR) being enforced since May 25th 2018. This has led to tools and services that promise compliance to GDPR in terms of consent management and keeping track of personal d...
Poster
Full-text available
File access activity information is an important source for identifying unauthorized data transmissions. In this paper, we present a semantic approach for the monitoring of file system activity in the context of information security. We thereby tackle limitations of existing monitoring approaches in terms of semantic integration, contextu-alization...
Chapter
Full-text available
Business process compliance checking enables organisations to assess whether their processes fulfil a given set of constraints, such as regulations, laws, or guidelines. Whilst many process analysts still rely on ad-hoc, often handcrafted per-case checks, a variety of constraint languages and approaches have been developed in recent years to provid...
Conference Paper
The European General Data Protection Regulation (GDPR) brings new challenges for companies, who must demonstrate that their systems and business processes comply with usage constraints specified by data subjects. However, due to the lack of standards, tools, and best practices, many organizations struggle to adapt their infrastructure and processes...
Chapter
Full-text available
When reusing software architectural knowledge, such as design patterns or design decisions, software architects need support for exploring architectural knowledge collections, e.g., for finding related items. While semantic-based architectural knowledge management tools are limited to supporting lookup-based tasks through faceted search and fall sh...
Conference Paper
Full-text available
When reusing software architectural knowledge, such as design patterns or design decisions, software architects need support for exploring architectural knowledge collections, e.g., for finding related items. While semantic-based architectural knowledge management tools are limited to supporting lookup-based tasks through faceted search and fall sh...
Preprint
Recent advances in linked data generation through mapping such as RML (RDF mapping language) allows for providing large-scale RDF data in a more automatic way.However, considerable amount of data in open data portals remain inaccessible as linked data.This is due to the nature of data portals having large number of small-size dataset which makes wr...
Conference Paper
The growth of Linked Data has created a promising environment for data exploration and a growing number of tools allow users to interactively integrate data from various sources. Eliciting the reliability of the results of such ad-hoc integration processes, consistently recreating those results, and identifying changes upon re-execution, however, c...
Conference Paper
Process simulations are useful test-beds for experiments and optimizations along the entire industrial plant life-cycle. Shifting testing and tuning of industrial plants and their automation systems from the real world to simulated environments is a part of a virtualization, which is one of the key movements in emerging areas of Industry 4.0 and fa...
Article
Process simulations are useful test-beds for experiments and optimizations along the entire industrial plant life-cycle. Shifting testing and tuning of industrial plants and their automation systems from the real world to simulated environments is a part of a virtualization, which is one of the key movements in emerging areas of Industry 4.0 and fa...
Chapter
A key requirement in supporting the work of engineers involved in the design of Cyber-Physical Production Systems (CPPS) is offering tools that can deal with engineering data produced across the various involved engineering disciplines. Such data is created by different discipline-specific tools and is represented in tool-specific data models. Ther...
Conference Paper
Full-text available
The timely discovery, sharing and integration of architectural knowledge (AK) have become critical aspects in enabling the software architects to make meaningful conceptual and technical design decisions and trade-offs. In large-scale organizations particular obstacles in making AK available to architects are a heterogeneous pool of internal and ex...
Chapter
Ein wesentlicher Aspekt für die Umsetzung der Vision von Industrie 4.0 ist die Verbesserung des Engineering-Prozesses von Produktionssystemen . Dieses Kapitel untersucht, welche Beiträge Semantic Web Technologien zu Engineering-Prozessen von Industrie 4.0 einbringen können. Dazu wird ein Analyse-Framework entwickelt, in dem die hauptsächlichen Fähi...
Conference Paper
Recently, Semantic Web Technologies (SWT) have been introduced and adopted to address the problem of enterprise data integration (e.g., to solve the problem of terms and concepts heterogeneity within large organizations). One of the challenges of adopting SWT for enterprise data integration is to provide the means to define and validate structural...
Conference Paper
The process of designing Cyber Physical Production Systems (CPPS), e.g., modern power plants or steel mills, typically takes place in a multi-disciplinary engineering environment, in which experts from various engineering domains and organizations work together towards creating complex engineering artifacts. The process of designing such complex en...
Chapter
Knowledge is changing rapidly within the engineering process of Cyber-Physical Production Systems (CPPS) characterized by the collaborative work of engineers from diverse engineering disciplines. Such rapid changes lead to the need for management and analysis of knowledge changes in order to preserve knowledge consistency. Knowledge change manageme...
Chapter
The Industrie 4.0 vision highlights the need for more flexible and adaptable production systems. This requires making the process of engineering production systems faster and intends to lead to higher quality, but also more complex plants. A key issue in improving engineering processes in this direction is providing mechanisms that can efficiently...
Chapter
This chapter is focused on the technical aspects of semantic data integration that provides solutions for bridging semantic gaps between common project-level concepts and the local tool concepts as identified in the Engineering Knowledge Base (EKB). Based on the elicitation of use case requirements from automation systems engineering, the chapter i...
Conference Paper
The engineering phase of Cyber-Physical Production Systems (CPPS) is a multi-disciplinary process in which representatives of diverse engineering disciplines collaborate to deliver a complex CPPS. To ensure optimal project management as well as to avoid risks of inconsistencies between engineering models created by engineers from different discipli...
Chapter
Ein wesentlicher Aspekt für die Umsetzung der Vision von Industrie 4.0 ist die Verbesserung des Engineering-Prozesses von Produktionssystemen . Dieses Kapitel untersucht, welche Beiträge Semantic Web Technologien zu Engineering-Prozessen von Industrie 4.0 einbringen können. Dazu wird ein Analyse-Framework entwickelt, in dem die hauptsächlichen Fähi...
Poster
Multi-Disciplinary Engineering (MDEng) environments involve a wide range of models, processes and tools that were not designed to cooperate together. The Ontology-Based Information Integra-tion (OBII) approach has been proposed to address the integration issue within such environments. However, knowledge changes management and analysis (KCMA) proce...
Conference Paper
Modeling engineering knowledge explicitly and representing it by means of standardized modeling languages and in machine-understandable form enables advanced engineering processes in industrial and factory automation. This affects positively both process and product quality. In this paper we explore how the AutomationML format, an emerging data exc...
Conference Paper
Full-text available
Ontology change is an important part of the Semantic Web field that helps researchers and practitioners to deal with changes performed in ontologies. Ontology change is especially important in Ontology-Based Information Integration (OBII) systems, where several ontologies are interrelated and there-fore, changes raise various complexities and impli...
Poster
Complementary to managing bibliographic information as done by digital libraries, the management of concrete research objects (e.g., experimental workflows, design patterns) is a pre-requisite to foster collaboration and reuse of research results. In this paper we describe the case of the Empirical Software Engineering domain, where researchers use...
Article
Full-text available
[Context] Software engineering researchers conduct systematic literature reviews (SLRs) to build bodies of knowledge (BoKs). Unfortunately, relevant knowledge collected in the SLR process is not publicly available, which considerably slows down building BoKs incrementally. [Objective] We present and evaluate the Systematic Knowledge Engineering (S...
Conference Paper
Engineering project consortia represents the collaboration of different groups of partners to achieve a common goal, e.g., developing innovative products. This collaboration may be challenging because of different terminologies and different tools and data models used by the project partners. In this work, we present the concept of a Project Consor...
Conference Paper
Open data refers to data that is freely available in the Internet and can be used, reused, and redistributed without restrictions from copyright or patent. This paper describes our approach to fostering government transparency and public participation through linked open government data (LOGD). We have analyzed how Indonesian Government deals with...
Conference Paper
Multi-disciplinary engineering (ME) projects are conducted in complex heterogeneous environments, where participants, originating from different disciplines, e.g., mechanical, electrical, and software engineering, collaborate to satisfy project and product quality as well as time constraints. Detecting defects across discipline boundaries early and...
Conference Paper
Full-text available
[Context] Experiment planners need to be aware of relevant Threats to Validity (TTVs), so they can devise effective control actions or accept the risk. [Objective] The aim of this paper is to introduce a TTV knowledge base (KB) that supports experiment planners in identifying relevant TTVs in their research context and actions to control these TTV...
Conference Paper
Full-text available
Recently, the Systematic Knowledge Engineering (SKE) process has been introduced to help researchers build up an empirical software engineering (EMSE) Body of Knowledge (BoK) based on a systematic literature review process. However, the SKE pro-cess does not explain how to effectively capture and represent the EMSE knowledge to enable efficient dat...
Poster
An engineering project consortium represents the collaboration of different groups of partners to achieve a common goal, e.g., developing innovative products. This collaboration may be challenging because of different terminologies and different tools and data models used by the project partners. In this work, we present the concept of a Project Co...