Abstract: In the recent years, Linked Data has become widely adopted and became established in the areas of data and knowledge management. Furthermore, various open government initiatives contributed to the availability of governmental data which is largely statistical in nature and often refers to different geographical regions and points in time. However, semantic technology has not influenced spatial data management yet. In this paper we discuss the possibilities for utilizing Linked Data in this domain and argue that it would facilitate integration of geospatial data with external datasets which is cumbersome in existing GIS systems. The paper addresses modelling of statistical linked data with the focus on representing spatial and time dimensions, and describes the current prototype of the Exploratory Spatio-Temporal Analysis tool for Linked Data developed by the Institute Mihailo Pupin within the GeoKnow framework.

Abstract: This paper explores the possibility of extracting semantic relations from data published on government open data portals. We have introduced a relation extraction architecture that can be placed on top of the government interoperability framework, and used for creating additional relations among published datasets. If a government has not implemented interoperability framework, the architecture can be still used, since it is designed to provide the same functionality if it had open data as a data source. The proposed architecture enables extraction of semantic relations between open data and examines possible collaboration relations between data sources.

Abstract: Automobile traffic problems such as car accidents and traffic congestions are touching the daily life of many people. The development of demography and the urban planning play a key role that influences the traffic situation. An easily understandable and widely accessible visualization of current and future traffic volumes can influence nowadays decisions and bring important new insights. Currently available open data together with VGI (volunteered geographic information) might be considered for the traffic volume prediction. In this paper, we focus on the utility of available open data and VGI (e.g. OpenStreetMap1) together with advanced, web-based visualization technique (based on WebGL) with the aim to offer an easy exploration and insights discovery in complex data that relates to traffic. A particular focus is given to traffic volume and movement history analysis.

Abstract: In this paper we will define and describe a novel approach for improving geoportal information search capabilities. The approach we present in this paper is a part of our ongoing research regarding the development of Webbased geographic information systems. Our approach is meant to be implemented within geoportals relying on federated geographic information systems (geo-information systems, GISs) as their spatial data infrastructure. Although it can be adapted for different meta-data, our approach was intended to rely on federated GISs which utilize ontological components (ontologies) for geospatial data integration purposes. Geoportal information search improvement is performed by taking advantage of existing ontological components, in particular the sense of the ontology concept names, and matching their sense with the sense of terms extracted from a natural language description of geoinformation. In this way, our approach enables searching for geo-information in a heterogeneous and distributed GIS application environment.

Abstract: A growing number of storage systems have started to support the SPARQL query language for RDF and the SPARQL Protocol for RDF. As SPARQL is more and more accepted by community, there is a growing need for benchmarks that will compare these systems. In this paper we present the setup and configuration of the GeoKnow Benchmarking laboratory and benchmarking methodology. This system is used in the FP7 project Geoknow to summarize the performance evaluation of the geospatial tools used in the project. The benchmark is applicable to DBMS dealing with relational data, and RDF, as well. Comparison results are presented running the benchmark against Virtuoso (SPARQL & SQL) and PostGIS, both hosting OSM data.

Abstract: The work presented in this papers describes GEM, the first cross-platform, mobile, semantic faceted geospatial browser that fully exploits the potential of the Linked Open Data paradigm. The tool is built on top of Jassa (JAvascript Suite for Sparql Access) and offers a rich Web of Data experience by rising above the common mobile geospatial visualization limitations by relying on open, crowd-sourced and semantically linked information found in publicly available sources, such as the LOD Cloud. This information is loaded and filtered according to user’s needs, on demand, in order to prevent maps from overpopulating. Finally, special attention is paid to client-side optimization to deliver both acceptable performance and comfortable user/visual experience.

Abstract: During the past decade the cloud service market is one of the fastest growing segments around the world. The amount of companies that turned to the cloud has been steadily growing, since paying for a “shared” Cloud service over а given period of time reduces the capital expenditures and turned out to be better than using a dedicated hardware. This paper is focused on the architecture and the design of a shared public cloud service provider. The primary goal of the paper is to present a complete integrated solution for a single communication platform providing Cloud services to end-users. The paper, first, provides a literature review of some Cloud computing aspects, including the requirements for Cloud computing services and the key performance indicators to be evaluated. Second, it is described a real network infrastructure design approach, which allows smooth implementation of additional services and functionalities. All of the applicable functionalities are built to be managed and maintained separately for various independent customers in isolated mode of operations (Multi-Tenancy). The design allows optimal performance assuring high-availability of the service. Finally, the modular approach used in the design allows future optimisation and capacity upgrade plan of all key infrastructure components.

Abstract: A mobile ad hoc network is a set of mobile nodes that are dynamically located and connected by wireless links. The network is self-configuring and provides end-toend communication. In order to facilitate communication within the network, a routing protocol is used to discover routes between source and destination nodes. Routing in the mobile ad hoc networks is a challenging task and has received a tremendous amount of attention from researches. This has led to development of many different routing protocols. Therefore, it is quite difficult to determine which protocols may perform best under a number of different network scenarios, such as increasing node density and traffic. In this paper, we present concept, characteristics and functionality of a simple routing protocol, based on packet delivery rate and distance from the destination node.

Abstract: Enterprise systems, such as Enterprise Resource Planning systems, usually keep their data isolated and not readily available to the other systems. When an enterprise system needs to open data for external usage, it is usually done using interface tables, Web services, or some kind of data exports. These approaches require both the source system, which provides data, and the destination system, which consumes data, to implement additional routines in order to support data sharing. Our approach uses linked data networks and introduces ontologies as a means to define standard data structures that enterprise systems can use to expose their data. This way, the exposed data, supported by auxiliary tools, can be referenced, read or updated from various systems in a common and unified way by collaboration systems. Our approach allows this data to become a part of much bigger linked data network.

Abstract: Online Businesses can be represented as a complex interaction of interconnected online users responding to the value proposition of an online company. We propose an Agent Based Modeling framework (DYNAMOD) that aims to explain these complex dynamics. This framework aids in the creation of simulation models that mimic the actual market behavior and perform business forecasting and decision support functions. Through a case study of the largest e-procurement provider in Portugal – Vortal.biz, we simulate their pricing model and its impact on user behavior and revenue.

Abstract: This paper presents the architecture of the crowdsourced experimental platform called IoT Lab. The platform will provide a new approach for experimentation by extending existing IoT FIRE testbeds, traditionally built from static sensor mote platforms, with crowd sourced resources and thus will enable richer and more distributed multidisciplinary experiments with more end-user interactions, flexibility, scalability, cost efficiency and societal added value.

Abstract: Enterprises are motivated to join collaborative networks, looking forward to reducing time to market, innovating products and lowering prices. However, each enterprise has its own legacy on Enterprise Information Systems, a fact that has been creating a significant interoperability problem when intending to cooperate with others using dissimilar information systems. This paper proposes to reuse existing modelling and architecture technology in a framework to support the sustainability of interoperability among networked enterprises. It suggests the implementation of dynamic software adapters to assure the continuous transformation of heterogeneous information, achieving an adaptive mechanism for interoperation among the different enterprise applications, and guaranteeing a seamless communication among the networked enterprises.

Abstract: Equipped with 3D MEMS sensors, today’s smartphones provide for a wide range of practical measurements. However, MEMS sensors are characterized by different errors including zero level offset, inaccurate sensitivity, axis misalignment and noise. Bearing these inaccuracies in mind, we investigate the feasibility of using a smartphone 3D accelerometer during cycling and provide with some practical observations. Using the accelerometer, we track the slope of the road. Binding the obtained road slope profile with the GPS speed measurements, we estimate motion altitude change. We conclude that, if suitably calibrated, the accelerometer can be feasible for this purpose. However, even small errors in gravity projections estimates lead to significant errors in altitude change estimation. Due to integration, measurement noise contributes less to the estimated altitude error.

Abstract: The integration of different areas of knowledge to reach new technological solutions has become a reality. This integration has been improving the surgical process of dental implant applying the concepts and methods of the product engineering. In this context, this paper proposes a reasoning system that is capable to support a dental implant design for a single dental failure through CAD geometric modeling. This article has presented a case study of single dental failures that validate the reasoning system developed in the Matlab environment applying inside the Concurrent Engineering environment. The results demonstrated that the proposed reasoning system has potential to offer support to dentistry in the determination of the dental implant set more adequate to each patient.

Abstract: The aim of this study was to develop multilayer perceptron (MLP) neural network model to predict lumbar disc herniation. The age, gender, body mass index, the maximum displacement of the body center of force, left foot center of force, right foot center of force in the x and y directions have been used as the input variables for the established MLP model. The measurements were performed using the commercial software Foot Work Pro. A total of 40 patients have been divided into training and testing data sets. The study results suggested that MLP would be an efficient soft computing tool for diagnosis of lumbar disc herniation. The Pearson coefficients have been computed as 0.941 and 0.938 for training and test data sets, respectively.

Abstract: In this paper a model which provide the patient with a fast and simplified way of performing home therapy is described. Model is based on virtual reality, movement tracking and sensors’ reading. Technically, it is consisted of (1) medically designed Software as a Service platform which provide remote, secure, reliable and always available software platform, (2) interactive virtual reality games that increase patient’s motivation and concentration, (3) Microsoft Kinect for motion tracking and (4) embedded systems for tracking physical abilities during gameplay. The paper presents the results of applying this model of therapy to a single post-stroke patient. Therapy was focused on the upper limb and visual difficulty and resulted with improvements in both.

Abstract: Coronary arteries and their major branches, which supply oxygenated and nutrient filled blood to the heart muscle (myocardium), lie on the surface of the heart, in the subepicardial space, between visceral pericardium (epicardium) and myocardium. Sometimes, a shorter or longer segment of the epicardial coronary artery or its branch is covered by a band of heart muscle that lies on top of it. This band of muscle is called a “bridge” and the intramural segment of coronary artery a “tunneled artery”. Myocardial bridging (MB) is a congenital coronary anomaly defined as a segment of a major epicardial coronary artery that runs intramurally through the myocardium beneath the muscle bridge. It is very important to find the most efficient method for determining shear stress in the coronary arteries with myocardial bridge. The procedure for calculating shear stress in MB arteries using neural networks trained with results from finite elements method will be explained in this paper.

Abstract: This paper presents a display of originally developed method for designing a 3D model of internal dynamic tibia fixation according to Mitkovic type TPL. The internal side of the fixation, the one lying on the bone, is fully aligned with the anatomical shape of the bone surface. The method is based on the application of parameter 3D model with the marked bone fractures. This method can also be used for any other bone or tile type implant. The given model is designed for fixation production utilizing any method, and it is ideal for 3D printing.

Abstract: In this paper, we explain the concept of mental or cognitive workload and review the most common methods and procedures for its assessment. We focus primarily on driving tasks and interaction with various in-vehicle devices and systems. Safety is one of the most important human needs and consequentially also the primary concern of the automotive industry when introducing new in-vehicle information systems (IVIS), global positioning systems (GPS), interactive displays, etc. Since the human brain and its resources are limited, the primary task of driving can be seriously challenged when secondary tasks are performed simultaneously. Several different methods have been proposed for direct and indirect measurement of the driver’s cognitive workload and for the detection of its potential overload. We report briefly also on two user studies performed in our driving simulator, which illustrate the importance of correctly assessing cognitive workload in the process of evaluating new in-vehicle user interfaces.

Abstract: Recent developments in the area of Internet of Things increase the pressure on the feasibility of current architectures of the Enterprise Information Systems (EIS), in terms of their complexity, flexibility and interoperability in a pervasive computing world. The fact that EISs are today hosted by the growing diversity of platforms and devices, urges as to consider new concepts that would take into account rapid deployment and setup in any circumstances. This paper presents the discussion of modeldriven architectures and proposes the concept of EIS design that is ontology-driven, persistence-neutral, runtime-model based. These concepts are to some extent demonstrated in the case of OntoApp tool for ontology scaffolding.