Valentina Janev

Mihajlo Pupin Institute | IMP

Energy communities (ECs) are an important tool towards a fair energy transition. Hence, the European Union (EU) has positioned ECs at the centre of its energy strategy and the foreseen transformation of its energy system. This paper aims to give an overview of key aspects and challenges for the implementation of the EC concept. Firstly, the regulat...

Data integration demands the development of data management techniques to efficiently overcome interoperability issues and provide a harmonized view of both data and their meaning (i.e., metadata). This paper addresses the challenges of energy data management and integration and proposes a process of creating a knowledge graph, motivated by the nee...

This paper analyzes the challenges and requirements of establishing energy data ecosystems (EDEs) as data-driven infrastructures that overcome the limitations of currently fragmented energy applications. It proposes a new data- and knowledge-driven approach for management and processing. This approach aims to extend the analytics services portfolio...

Today, data are growing at a tremendous rate, and according to the International Data Corporation, it is expected they will reach 175 zettabytes by 2025. The International Data Corporation also forecasts that more than 150B devices will be connected across the globe by 2025, most of which will be creating data in real time, while 90 zettabytes of d...

Today, data is growing at a tremendous rate and, according to the International Data Corporation, it is expected to reach 175 zettabytes by 2025. The International Data Corporation also forecasts that more than 150B devices will be connected across the globe by 2025, most of which will be creating data in real-time, while 90 zettabytes of data will...

Data in the energy domain grows at unprecedented rates. Despite the great potential that IoT platforms and other big data-driven technologies have brought in the energy sector, data exchange and data integration are still not wholly achieved. As a result, fragmented applications are developed against energy data silos, and data exchange is limited...

Data in the energy domain grows at unprecedented rates and is usually generated by heterogeneous energy systems. Despite the great potential that big data-driven technologies can bring to the energy sector, general adoption is still lagging. Several challenges related to controlled data exchange and data integration are still not wholly achieved. A...

The rapid development of digital technologies, IoT products and connectivity platforms, social networking applications, video, audio and geolocation services has created opportunities for collecting/accumulating a large amount of data. While in the past corporations used to deal with static, centrally stored data collected from various sources, wit...

The goal of this chapter is to shed light on different types of big data applications needed in various industries including healthcare, transportation, energy, banking and insurance, digital media and e-commerce, environment, safety and security, telecommunications, and manufacturing. In response to the problems of analyzing large-scale data, diff...

This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or...

The paper examines the process of creating and publishing an Arabic Linked Drug Dataset based on open drug datasets from selected Arabic countries and discusses quality issues considered in the linked data lifecycle when establishing a semantic Data Lake in the pharmaceutical domain. Through representation of the data in an open machine-readable fo...

Linked Open Data illustrates the concept that provides an optimum solution for information and dissemination of data, through the representation of the data in an open machine-readable format and to interlink it from diverse repositories to enable diverse usage scenarios for both humans and machines. The pharmaceutical/drug industry was among the f...

This book constitutes the proceedings of the 18th International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2019, held in Belgrade, Serbia, in September 2019. The 43 full papers presented together with 3 abstracts of keynotes were carefully reviewed and selected from 70 submissions. The main topics cover...

Critical infrastructures (CI) are difficult to handle due to their complexity, size and the number of stakeholders involved. During emergency situations (e.g. fire or terrorist attack), a CI operator in the control room is faced with a flood of information coming from different sensors and legacy monitoring systems. Since in these situations, time...

The development of Semantic Web technology has fueled the creation of a large amount of Linked Open Data. DBpedia is a good example of an open data repository extracted from the crowd sourced knowledge base, Wikipedia. Because of the way Wikipedia and DBpedia were created, the information available there is more vulnerable to grammatical errors, in...

This article describes the Linked Data approach, based on principles defined back in 2006, which can play an important role in the domain of semantic interoperabiity of government services. Therefore, this article explores the technical aspects and challenges of implementation of the revised European Directive on the Public Sector Information (2013...

One of the most critical aspects of emergency management (EM) is the notification system concerning how to get updated and accurate information from the very first stages of the event and how to notify affected people. The citizens, as the simplest level of participation in an emergency scenario, can act as information consumers (e.g., about alarms...

One of the most critical aspects of emergency management (EM) is the notification system concerning how to get updated and accurate information from the very first stages of the event and how to notify affected people. The citizens, as the simplest level of participation in an emergency scenario, can act as information consumers (e.g., about alarms...

descriptionNowadays modern mobile phones have a lot of sensors that can be helpful in various situations, for instance, to facilitate the collaboration between citizens and public services. This paper explores the use of smart phones for producing rich information about traffic accidents in real time. The goal is to examine the Linked Data approach...

Publishing and sharing open government data in Linked Data format provides many opportunities in terms of data aggregation/integration and creation of information mashups. Statistical data, that contains various performance indicators and their evolution through time, is an example of data that can be used as the foundation for policy prediction, p...

Big Data refers to data volumes in the range of Exabyte (10 18 ) and beyond. Such volumes exceed the capacity of current on-line storage and processing systems. With characteristics like volume, velocity and variety big data throws challenges to the traditional IT establishments. Computer assisted innovation, real time data analytics, customer-cent...

The Linked Data approach, based on principles defined back in 2006 and best practices for publishing and connecting structured data on the Web elaborated by ICT experts, can play an important role in the domain of semantic interoperability of government services. Therefore, this paper explores the technical aspects and challenges of implementation...

Cilj ovog priručnika je da posluži kao uputstvo za uvođenje i oblikovanje strategije otvorenih podataka u organizaciji u kojoj se podaci objavljuju. Takva strategija opisuje čitav proces od odabira podataka koji treba da budu obrađeni kao otvoreni podaci, od izvora pa sve do objavljivanja podataka na platformi otvorenih podataka.

The Share-PSI 2.0 Best Practices1 are designed to act as a source of guidance for public organisations fulfilling their duties under the European Commission’s Revised PSI Directive2. It extends and contextualises the W3C Data on the Web Best Practices, which provides general advice for sharing information online in such a way as to maximise its val...

This paper contributes to the understanding of challenges related to publishing and consuming public sector information using Linked Data tools. Linked Data paradigm has opened new possibilities and perspectives for the process of collecting and monitoring socio-economic indicators. Due to multidimensionality of the statistical data, in order to en...

Recently, a large number of open data repositories, catalogs and portals have been emerging in the scientific and government realms. In this chapter, we characterise this newly emerging class of information systems. We describe the key functionality of open data portals, present a conceptual model and showcase the pan-European data portal PublicDat...

The core of a Linked Data application is the processing of the knowledge expressed as Linked Data. Therefore the creation, man-agement, curation and publication of Linked Data are critical aspects for an application's success. For all of these aspects the LOD2 project provides components. These components have been collected and placed under one di...

he Open Government Data initiative aims at motivating governments and organizations to make nformation freely available and easily accessible online. This paper contributes to the understanding of the process of publishing public sector information as Linked Data and the use of the RDF Data Cube vocabulary for publishing statistical data. In order...

In crisis situation, there is always a collaborative effort to collect, fuse and analyze large volumes of diversified data and convert it to information that can be used for efficient emergency assessment and management. This paper discusses one way of tackling this problem using the emerging linked data concept, pointing out major challenges and d...

To be able to cope with all the challenges that are emerging with the rise of the Web of Data, linked data tools must find ways to deal with its heterogeneity with regard to the content being published and the languages that content is being published in. Adequate internationalization support is a must for distributing or consuming multilingual dat...

As part of harmonisation with the EU legislation and practices, the Serbian authorities follow the standards and technologies that are used in the European Union and adapt their IT infrastructure to ensure quality service to the public, other governmental agencies, and other business partners, domestic and international. In this paper, we showcase...

Linked Open Data (LOD) is a growing movement for organizations to make their existing data available in a machine-readable format. There are two equally important viewpoints to LOD: publishing and consuming. This article analyzes the requirements for both sub-processes and presents an example of publishing statistical data in RDF format and integra...

This paper discusses the training aspect of the EMILI Simulation and Training environment (EMILI-SITE), a prototype system aimed at emergency management in critical infrastructures like airports, railway/metro systems, and power grids. As emergency procedures and standards are usually defined in advance, they are an interesting application case for...

To improve transparency and public service delivery, national, regional and local governmental bodies need to consider new strategies to openning up their data. We approach the problem of creating a more scalable and interoperable Open Gov-ernment Data ecosystem by considering the latest advances in Linked Open Data. More precisely, we showcase how...

To meet the challenges of today’s Internet economy and be competitive in a global market, enterprises are constantly adapting their business processes and adjusting their information systems. In this article, the authors analyze the applicability and benefits of using semantic technologies in contemporary information systems. By using an illustrati...

In order to improve efficiency in the provision of public services, increase transparency and interaction with citizens and society as a whole, but also create new businesses and job opportunities, both local and national governments need to find better strategies for delivering their data to the public in a powerful, machine-readable and future-pr...

To make the Web of Data a reality, and push large scale integration of, and reasoning on, data on the Web, huge amounts of data must be made available in a standard format, reachable and manageable by Semantic Web tools. National statistical offices across the world already possess an abundance of structured data, both in their databases and files...

This article aims at presenting the use of the HELENA problem-specific tools for curricula analysis. The main objectives of the EU FP7 project HELENA (“Higher Education Leading to ENgineering And scientific careers”) is the analysis and evaluation of traditional and pilot E&T degree courses curriculum across Europe through quantitative and qualitat...

Semantic-based technologies have been steadily increasing their relevance in recent years in both the research world and business world. Considering this, the present book discusses the process of design and implementation of a competence management system in information and communication technologies domain utilizing the emerging Semantic Web stan...

This paper presents the first prototype of the EMILI-SITE system that will provide an advanced simulation and training capabilities for emergency management in critical infrastructures like airports, railway/metro systems, and power grids. In addition, the EMILI-SITE system will support decision-making activities in safety-critical situations in ti...

This paper describes a novel approach to situation awareness and management in critical infrastructures using an emerging Complex Event Processing paradigm in combination with ECA (Event Condition Action) rules. Every modern infrastructural facility, especially critical ones, would want to catch or predict exceptions and threats at the earliest pos...

a b s t r a c t The Semantic Web is one of the fastest developing fields within the Information and Com-munication Technology sector and, as such, under constant examination by scientists and IT professionals. This article aims to provide a better understanding of the applicability of Semantic Web tools and technologies in practice. This aim will b...

The research presented in this paper aims at investigating gender-based preferences for study choices made by male and female students studying information technology (IT) disciplines based on the methods of identifying and analyzing relevant IT study programmes in Serbia and Macedonia, and analyzing the students’ perception of the curricula and ca...

Semantic-based technologies have been steadily increasing their relevance in recent years in both the research world and business world. Considering this, the present article discusses the process of design and implementation of a competency management system in information and communication technologies domain utilizing the latest Semantic Web too...

Competence management is an important research object in the more general area of human resources management and knowledge management. This paper describes the process of enhancing the individual ICT competence models built from the self-declared knowledge of experts with information extracted automatically from documents using custom Unstructured...

This article aims at providing better understanding of the applicability of Semantic Web tools and technologies in practice. It introduces a case study of the use of semantic technologies for extraction, integration and meaningful search and retrieval of expertise data, as an example of the new approaches to data integration and information managem...

To meet the challenges of today's Internet economy and be competitive in a global market, enterprises are constantly adapting their business processes and adjusting their information systems. In this article, the authors analyze the applicability and benefits of using semantic technologies in contemporary information systems. By using an illustrati...

This article discusses the challenges of expertise data integration and expert finding in modern organizations using an illustrative case study of a concrete research-intensive establishment, the Mihajlo Pupin Institute (MPI). It presents how the latest semantic technologies (Ontologies, Web services, Semantic Wiki) could be used on the top of the...

This article presents the process of design and implementation of a holistic knowledge management infrastructure for R&D organizations from human resources (HR) perspective. The approach addresses HR challenges such as support for an open and flexible organizational structure, support for managing the specific assets of an R&D organization, support...

This article discusses the challenges of expertise data integration and expert finding in modern organizations using an illustrative case study of a concrete research-intensive establishment, the Mihajlo Pupin Institute (MPI). It presents how the latest semantic technologies (Ontologies, Web services, Semantic Wiki) could be used on the top of the...

This article analyses the maturity and applicability of Semantic Web (SW) technologies, providing the cross comparison of the key SW technology segments and the key application areas. Based on the analysis of the W3C collection of Case Studies and Use Cases, the benefits of using semantic technologies are identified. As a result of comprehensive su...

The Semantic Web is one of the fastest developing fields and, as such, under constant examination by scientists and IT professionals. In this article, the authors attempt to provide an assessment of the maturity and adoption level of currently available Semantic Web tools and technologies and to determine how researchers and practitioners use them....

This article presents the process of design and implementation of a holistic knowledge management infrastructure for R&D organizations from human resources (HR) perspective. The approach addresses HR challenges such as support for an open and flexible organizational structure, support for managing the specific assets of an R&D organization, support...

This paper introduces and compares two innovative tools aimed at enhancing the collaborative work of the researchers and professionals from the West Balkan countries in the Semantic Web field. The first tool, the Alfresco system, is a version controlled content repository designed in REST architectural style and based on a set of document managemen...

This paper presents a solution for managing the specific HR assets in research organizations, i.e. the scientific track record of scientists and researchers. The solution has already been installed at the Mihajlo Pupin Institute (MPI) in Belgrade as a part of the knowledge management initiative started a few years ago. It is based on SAP Human Capi...

This chapter introduces a business integration framework suitable for knowledge management in research and development (R&D) organizations in the high-technology sector. The knowledge management platform design is based on the latest technological trends and standards. Two main constituents of the proposed system are: the document warehouse layer,...

Knowledge technologies are a subject of permanent interest for software engineers at research organisations, as well as for market analysts in commercial organisations. In this paper, which aims to clarify the role of knowledge management solutions in an enterprise business, we survey the market of commercial knowledge management solutions and anal...

The objective of this research is to design and implement a business integration framework suitable for knowledge management in R&D organizations in high technology sector. This paper proposes an integration system based on the data warehousing methodology and the latest semantic technologies: ontologies and Web Services. The initial results of int...

Knowledge technologies, the software products that support all aspects of knowledge processing and exchange, are the subject of permanent interest for software engineers at research organizations, as well as, for market analysts in commercial organizations. In order to clarify the role of knowledge management solutions in an enterprise business pro...

This paper discusses the information technologies that support the knowledge management processes in enterprises. Knowledge processes are differentiated from operational business processes and their role in enterprise management is identified. Commercial software tools are surveyed based on their roles in the process of creating, sharing and using...