Papers by Violeta Damjanovic
We report on work in capturing cybersecurity requirements for cloud-based and IoT-enabled multi-s... more We report on work in capturing cybersecurity requirements for cloud-based and IoT-enabled multi-sided platforms (MSPs). Our approach is designed to capture security aspects related to business rules and constraints of MSPs, thus shaping the platform’s behaviour and the participants’ interaction and leading towards safer enterprise interoperability. We design the MSPs Privacy Requirements Framework and the MSPs Security Architecture, in order to cater for specific use case-centric and platform-centric cybersecurity requirements. To ensure compliance with the upcoming GDPR, we discuss the mapping between elicited cybersecurity requirements and GDPR rules. The new GDPR is expected to have significant implications on businesses in the EU, and our approach is designed to achieve full compliance with it.
Sensors (Basel, Switzerland), 2021
Today, the Internet of Things (IoT) is pervasive and characterized by the rapid growth of IoT pla... more Today, the Internet of Things (IoT) is pervasive and characterized by the rapid growth of IoT platforms across different application domains, enabling a variety of business models and revenue streams. This opens new opportunities for companies to extend their collaborative networks and develop innovative cross-platform and cross-domain applications. However, the heterogeneity of today’s platforms is a major roadblock for mass creation of IoT platform ecosystems, pointing at the current absence of technology enablers for an easy and innovative composition of tools/services from the existing platforms. In this paper, we present the Data Spine, a federated platform enabler that bridges IoT interoperability gaps and enables the creation of an ecosystem of heterogeneous IoT platforms in the manufacturing domain. The Data Spine allows the ecosystem to be extensible to meet the need for incorporating new tools/services and platforms. We present a reference implementation of the Data Spine ...
Reengineering Patterns for Ontologizing the Business Processes
The Semantic Web implies the comprehensive use of the main semiotic postulates on the Web. One of... more The Semantic Web implies the comprehensive use of the main semiotic postulates on the Web. One of the most important facts about human understanding comes from the area of linguistics and semiotics. The semiotic techniques, such as syntagm and paradigm are explained through the examples in learning environment, in the context of logical understanding and knowledge representation on the Web.
2018 International Conference on Intelligent Systems (IS), 2018
This paper discusses a Digital Twin demonstrator for privacy enhancement in the automotive indust... more This paper discusses a Digital Twin demonstrator for privacy enhancement in the automotive industry. Here, the Digital Twin demonstrator is presented as a method for the design and implementation of privacy enhancement mechanisms, and is used to detect privacy concerns and minimize breaches and associated risks to which smart car drivers can be exposed through connected infotainment applications and services. The Digital Twin-based privacy enhancement demonstrator is designed to simulate variety of conditions that can occur in the smart car ecosystem. We firstly identify the core stakeholders (actors) in the smart car ecosystem, their roles and exposure to privacy vulnerabilities and associated risks. Secondly, we identify assets that consume and generate sensitive privacy data in smart cars, their functionalities, and relevant privacy concerns and risks. Thirdly, we design an infrastructure for collecting (i) real-time sensor data from smart cars and their assets, and (ii) environmental data, road and traffic data, generated through operational driving lifecycle. In order to ensure compliance of the collected data with privacy policies and regulations, e.g. with GDPR requirements for enforcement of the data subject's rights, we design methods for the Digital Twin-based privacy enhancement demonstrator that are based on behavioural analytics informed by GDPR. We also perform data anonymization to minimize privacy risks and enable actions such as sending an automatic informed consent to the stakeholders.
The IKS Handbook Developing Semantic CMS APPLICATIONS
Semantically Linked Media for Interactive User-Centric Services
Architectures, Applications, and Standards, 2012
Encyclopedia of E-Collaboration
In this article, we explore the impact of ambient intelligence (AmI) on collaborative learning an... more In this article, we explore the impact of ambient intelligence (AmI) on collaborative learning and experimental environments aiming to point out some new and upcoming trends in the professional collaboration on the Web. The article starts with some introductory explanations of both Web-based and ubiquitous environments. In addition, an overview of the relevant research issues is given. These issues represent the key paradigms on which the conceptual design of the AmIART prototype is based, and embrace the following facets: Ambient Intelligence, online experimenting, and personalized adaptation. The main idea of the AmIART prototype is to give users the feeling of being in training laboratories and working with real objects (paintings, artifacts, experimental components). Then, the AmIART prototype for fine art online experimenting is discussed in the sense of e-collaboration. When online experiments are executed in the Semantic Web environment, remote control of experimental instrum...
UNDERSTANDER Business Intelligence Seeker — User agent
2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014
UNDERSTANDER is an exploratory R&D project investigating Business Intelligence (BI) as a know... more UNDERSTANDER is an exploratory R&D project investigating Business Intelligence (BI) as a knowledge-gathering tool for supporting innovation processes in specific industrial domains. We develop a knowledge-based model that is grounded on the following three concepts: (i) Business Intelligence Model (BIM) developed by a Canadian project for BI technologies, (ii) taxonomy of Competitive Intelligence (CI) developed by CI practitioners, and (iii) Conceptual Dependency (CD) theory dealing with verb-oriented organization of knowledge. We also investigate whether knowledge-based models can be made adequate for the problem of gathering BI from web resources. Such a knowledge model can be used to “prime” a software agent and the agent can then search autonomously for relevant information on the Web. To express the interaction between agents, we consider “mechanism design”, which is a framework for designing interaction between self-interested agents to achieve specific outcomes. A BI Seeker is a multi-agent application developed in WADE. (Workflows and Agents Development Environment). WADE is an extension of JADE, a popular Open Source framework that brings workflow mechanisms to agents. We present the design of the BI Seeker as an application in the field of Industrial Internet.
Semantic enhancement for media asset management systems
Multimedia Tools and Applications, 2012
Abstract The socio-economic development of the World Wide Web gathered a large momentum through W... more Abstract The socio-economic development of the World Wide Web gathered a large momentum through Web 2.0 and currently, the Web of Data is adding a further technological driver to this. The tremendous growth of media data combined with structured (linked) data promises further opportunities for digital market places. Although the integration of media content with linked data is only beginning there are already working groups and projects addressing this issue. We show how media and existing data sets can be seamlessly ...
IKS Deliverable-D3. 1 Report: Model of Knowledge-based Interaction
ABSTRACT The objective of this deliverable is to provide requirements for the development of know... more ABSTRACT The objective of this deliverable is to provide requirements for the development of knowledge-based interaction with Content Management Systems (CMS) and to identify interaction patterns for the communication between users and systems as well as between system components on different devices. Furthermore, we present a formal description of a model of content-oriented interaction. In order to consolidate the requirements, we had brainstorming discussions with the industrial partners to refine requirements that were extracted beforehand from selected publications and reports. Furthermore, studies from standardization consortia, active in the field of semantic interaction have been taken into account.
IKS Deliverable-D6. 1 Report: Validation of the IKS Alpha Stack through Use Case Developers
ABSTRACT This Deliverable is an interim report about the validation for the so-called "A... more ABSTRACT This Deliverable is an interim report about the validation for the so-called "Alpha Stack" which is the first of three evolution steps of the IKS Reference Implementation.
An approach to the realization of personalized adaptation by using eq agent system
Abstract. The main intention of this paper is to represent one approach to the realization of per... more Abstract. The main intention of this paper is to represent one approach to the realization of personalized adaptation in professional training and learning en-vironment. Our decentralized approach is based on using the eQ multi-agent system with the BDI agent rational model. The eQ agent system considers rele-vant contextual information about user’s traits and user devices, as well as con-tent information about different learning and training materials. The main aim of the eQ agent system is to enable better personalized adaptation, as well as better training and learning outcomes, by using proposed learning strategy. The potential benefits of using personalized adaptation in training environment are illustrated by using an example of fine art professional training. 1
Semantic enhancement: the key to massive and heterogeneous data pools
ABSTRACT
IKS Deliverable-D1. 1 Report: Design of the Semantic Benchmark Experiment
Public Deliverable - The objective of this deliverable is to design a benchmark model for Content... more Public Deliverable - The objective of this deliverable is to design a benchmark model for Content Management Systems (CMSs) in order to identify relevant requirements for the Interactive Knowledge Stack (IKS). The IKS will be a layered set of software components and specifications with the goal to improve the interaction with knowledge objects of CMSs by using Semantic Web technologies. In contrast to projects that benchmarked rather technical aspects of CMSs, we propose a model that evaluates CMSs consistently from the business perspective down to the technology layer. This approach is based on IT alignment theory that states that higher degrees of fit between business needs and IT result in increased business performance. Accordingly, IT executives of organizations that provide CMSs and IT executives of organizations that use CMSs as well as CMS developers are taken into account covering both business and technical aspects. The deliverable is structured as follows. First, we introduce the IKS project and pose relevant research questions that the IKS benchmark model for CMSs must address. Then, related work on CMS benchmarks, semantic technologies and applications is discussed from which shortcomings of exiting benchmarks are derived and implications for the design of the IKS benchmark model are drawn. Afterwards, we present the IKS benchmark model for CMSs, which describes a study-driven and experiment-driven approach to compare CMSs. Consistent with the model, questionnaire items for the study targeted at IT executives of CMS customer and provider organizations and implementation tasks for the experiment targeted at CMS developers are provided. Finally, we conclude this deliverable by a summary and an outlook on the next steps within the IKS project.
The PROLEARN mission is to support corporate training and life long learning. Current learning en... more The PROLEARN mission is to support corporate training and life long learning. Current learning environments are typically web based but they usually do not take into account heterogeneous needs of users and provide the same learning material to students with different knowledge, objectives, interests, and in different contexts. Therefore in the WP1 we want to integrate the variety of perspectives on personalized and adaptive learning. Currently there is no technical standard for the communication between the various ...
eQ Through the FOSP Method
This paper explores using emotional intelligence concepts together with specification of adaptati... more This paper explores using emotional intelligence concepts together with specification of adaptation strategies in learning on the Web. Emotional intelligence represents an essential part for effective communication, adaptability/adaptivity and personal satisfaction. In this paper we propose and describe an adaptive educational hypermedia system, called eQ. The main aim is to describe adaptation to the individual user traits that can be modeled in the form of stereotypical user model. Also, we show the way ...
Air-A Platform for Intelligent Systems
IFIP Advances in Information and Communication Technology (AICT), 2004
This paper presents AIR - a platform for building intelligent systems. Current IS platforms eithe... more This paper presents AIR - a platform for building intelligent systems. Current IS platforms either are narrowly specialized (ontologies, expert system shells, etc.) or have complex extension mechanisms (ie do not use benefits of Model Driven Development). Based on OMG's Model Driven ...
EAGLE – Open Data and Linked Data Architecture of an Enhanced Government Learning Platform
Lecture Notes in Computer Science, 2014
ABSTRACT Abstract We present the architecture of an Open Data and Linked Data platform for &q... more ABSTRACT Abstract We present the architecture of an Open Data and Linked Data platform for "EnhAnced Government LEarning” (EAGLE), which aim is to help local governments to keep up with fast-changing trends in public administration (PA) by adopting technology-enhanced learning (TEL) methods. EAGLE uses Linked Open Data tools: Apache Marmotta and Apache Stanbol.
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Papers by Violeta Damjanovic