11:45 – 13:00
(full papers: 18’+2′; short papers: 10’+2′)
• Darco Jansen (EADTU)
A short introduction
• C.2.1F
Matthias Rehm and Kasper Rodil
Engaging with the intangible cultural heritage of the city
Abstract
In this paper we investigate the notion of intangible cultural heritage as a driver for smart city learning applications. To this end, we shortly explore the notion of intangible heritage before presenting the tripartite digitization model that was originally developed for indigenous cultural heritage but can equally be applied to the smart city context.We then discuss parts of the model making use of a specic case study aiming at re-creating places in the city.
• C.2.2F
Silviu Vert and Radu Vasiu
Data Profiling in a Mobile Touristic Augmented Reality Application for Smart Environments based on Linked Open Data
Abstract
Data profiling is an important step in understanding the nature of the datasets that belong to the Web of Data. In this paper, we plan to analyze the appropriateness of exploiting this type of data in an augmented reality application to be used by tourists in smart environments. We build on top of previous work and we analyze the data used in a case study done on integrating several user-generated and governmental open datasets into a mobile augmented reality application called LOD4AR. The results show that the data found on the Web of Data is appropriate for augmented reality applications, despite its shallowness. Governmental open data, especially data that is following several guidelines specified in this paper, can complement the Web of Data and improve the overall integrated data.
• C.2.3S
Ioan Stefan Sacala, Mihnea Alexandru Moisescu, Ioan Dumitrache, Ricardo Jardim Goncalves
Integrating Digital Business EcoSystems with Internet of Things.
Abstract
Several paradigms that have the ability to reshape the architecture of the Enterprise Systems have emerged in the last few years. These refer to ‘Internet of Things and Digital Business Ecosystems’ and their particular methods of implementation such as ‘Sensing Enterprise’ and ‘Intelligent Cyber Enterprise’. The main focus of this paper is related to enterprise systems required to support the implementation of next generation of enterprise architectures. The research presented in this paper aims to present and solve some problems of Internet of Things at a larger scale, such as recovering process models from sensor observations given a reasonable amount of background information. Thus, we propose the development of a framework for building systems capable of solving different problems at the process and business levels in order to help organizations observe the market dynamics and become adaptive.
• C.2.4S
Aurelia Ciupe, Serban Meza, Bogdan Orza and Aurel Vlaicu
Applicability of Systematic Mapping towards Evaluating RCPS Solution Methods
Abstract
As a form of secondary studies, systematic mapping (SM) aims at conducting research reviews following a standardized protocol, oriented on gap and trend identification. Project scheduling, specifically the resource-constrained project scheduling problem (RCPSP), has been characterized as a dynamic field that generates several individual research themes: problem definition, solution algorithm, solution objective, applicability. Descriptively a combinatorial optimization problem, with decision variables, constraints and objective function, the RCPSP requires systematic assessment in proposing novel research directions. Current literature reviewing approaches include empiric frameworks such as classifications, surveys. The proposed work builds evidence on the applicability of SM guidelines and protocols to systemize RCPSP solution methods. A multiple-stage selection process has been conducted on several academic databases, and filtering strategies including definition of exclusion/inclusion criteria, quality assessment, have been applied. A final list of 252 studies has been mapped in a solution methods’ space, and implications on proposing future solving techniques have been depicted.
• C.2.5S
Monica Roman, Liliana Oliva Lucaciu Gotiu
Challenges of the net impact evaluations of European Structural and Investment Funds in 2014- 2020 programming period
Abstract
The paper intends to perform a critical review of the current experiences in evaluating net impacts of the competitiveness policies and programmes and identify the key challenges for extending the use of quantitative methods in the current programming period 2014-2020.The paper highlights key recommendations from the European experience such as the need for a strategic approach for planning and conducting impact evaluations, connecting experiences in different programmes and complementary policies across several countries, which prove to be essential factors for more credible evidences and a better understanding of the policies effects.