Technological Solutions for Knowledge Management in Smart Cities

Nowadays huge volume of information, data and knowledge, that directly or indirectly relates to modern cities, their state and problems is gathered and stored. Effectiveness of its use significantly influences on effectiveness of city development. Due to constantly increasing amount of information and knowledge, for its best use special tools for knowledge management, including tools for knowledge systematization and building formalized descriptions as well as new algorithms for knowledge processing and application are required. In the paper a set of technological solutions focused on knowledge retrieval from multidimensional measurements provided by different sources of information is suggested. Use of developed technologies allow to organize operative processing of new measurements, taking into account all available knowledge. Dealing with measurements at the level of knowledge about measurements provides solutions of end user problems in terms of subject domain objects or situations but not separate measurements. Several subject domains and their tasks, that can be solved using the proposed set of technological solutions, are defined

Smart Navigation for Modern Cities

Modern cities face a continuous growth of car population, at that, the number of drivers also grows and most of them use various navigation systems while choosing the best route as well as at the traffic situations’ assessment. .In this regard it is important to have a navigator that secures a quick and easy access to the required information and proposes alternative routes. Usability of the navigator depends on the simplicity of the graphic user interfaces and also on the available collection of maps. Usefulness of the information received by the users on their requests depends on how well the context of the request, like driver type, driver experience, used vehicle, weather conditions, road surface, is taken into account. When creating a new route it is necessary to consider the current situation on the road using operative data, the driver’s preferences and also to forecast the traffic density of the roads that are in the route. To solve the above listed it will be necessary to use in the navigator certain artificial intelligent tools as expert system and inference machine. The paper presents the smart navigator for modern cities developed based on intelligent geoinformation systems. Similar smart navigators have been already developed for solving problems of small navigation. It is suggested to create smart car navigators for modern cities using key solutions developed for small navigation

Building Smart Applications for Smart Cities – IGIS based Architectural Framework

To solve different kinds of complicated problems which arise in context of intensive development of modern cities a great number of various applications are constantly being developed. The most part of these applications are based on processing big volumes of heterogeneous data gathered from different types of available sources in real time. In the report an architectural framework oriented on building applications for smart cities in shortest time and with minimum spent of resources is suggested. The framework is based on intelligent geo information technologies and includes architectural and technological solutions along with many different computational libraries for building intelligent adaptive applications. Special attention is paid to information and knowledge organization. Different aspects of use of ontologies in the framework is discussed. Main directions of further development of proposed approach are defined

Data Science Technologies for Vibrant Cities

Smart Cities forced IT technologies make a significant step in their development. A new generation of agile knowledge based software applications and systems have been successfully designed and implemented. Wide capabilities of the agile applications were sufficient to meet the complete set of requirements of smart cities. Fast transformation of modern cities from smart cities to vibrant cities throws new even more complicated challenges to information technologies. While smart cities assumed wide usage of agile means and tools for solving applied tasks, applications for vibrant cities must provide agile environment for exploring and managing of all types of data, information and knowledge. Agile environment must be flexible enough to support iterative data processing and analyses procedures that can be easily reorganized or changed depending on context. The aim of agile environment creation and support is to extend a set of used mathematical, technological and program solutions. In the paper it is proposed to build applications for vibrant cities using agile data science methodologies and toolsets within the commonly used approaches for developing agile information systems

Mobile Museum Guides Applications based on Knowledge Graphs

In the paper, we discuss our experience in design and development of a content consumption focused mobile applications with data sources in the form of Linked Data by the example of developing museum guide application for The State Russian Museum. We describe our approach to formalizing a model in a dynamictyped programming language (JavaScript) and the way to keep it consistent. The paper contains the description of the system’s main component: a framework for generating a model from an ontology. Ontology-based application architecture can facilitate Domain Driven Design approach, and we demonstrate the ways how to combine these techniques in practice. Lastly, we discuss challenges and problems we faced during the development, then present our conclusions and future direction for exploration

Scenario Approach for Image Processing in Smart City

Modern city is described by fast change of a situations and large volume of available data about it. One of principal data types are images (satellite pictures, video from surveillance cameras, etc.). Fast manual analysis of such data is often complicated or impossible. Widespread practice is development of analysis system for each separate problem (for example identification of car identification numbers or QR-codes) that leads to a number of difficulties; in particular, it is difficult to integrate and modify such systems. In article the structure of raster image analysis system (both single images and a video stream) is proposed. The system is developed taking into account peculiarities of input data and requirements imposed by the smart city. As a basis of system the set of algorithms, that implements all image analysis stages (preliminary processing, construction of feature space and classification) is proposed. That algorithms are elements of data processing scenarios. Usage of scenario approach, based on subject domain ontology, allows to significantly simplify adaptation of image processing system to the peculiarities of subject domain without limitation of allowed algorithms set. A example of application of the developed system for real-world problem is given

Semantic medical care in smart cities

Medical care is a vitally important part of successful smart cities further development. High quality medical treatment has always been a challenging task for administrative departments of cities government. The key reason is that the treatment of patients significantly depends on the skills of medical stuff that can hardly be controlled and estimated. Semantic technologies by now have showed capabilities to solve highly complicated badly formalized problems in conditions of uncertainty. It makes reasonable to apply them in medical domain. In the paper a real example of information system for semantic medical care is presented. The system is being developed for Federal Almazov North-West Medical Research Centre in St-Petersburg, Russia (http://www.almazovcentre.ru/?lang=en). The main attention is paid to the proposed solution for the problem of medical treatment estimation in administrative and managerial departments. We focus on medical treatment examinations matching, trend analysis and administrative analytical and prediction task solving making use of semantic technologies, statistical analysis and deep learning applied to huge amounts of diverse data. Semantic medical data analysis project is an attempt to proceed to semantic medicine - an interoperable approach to medical domain area

Semantic Platform for building coherent net of smart services

Information infrastrucrure of modern cities has been developping incredibly fast over last decades. Improvement of all kinds of services has been impatiently demanded by end users in all domains who where forced to keep up-to-date not to lose ground in their spheres of interest. As a result, the majority of services used now are high-quality services that meet the extended requirements of end users. They can be definitely called smart services. The proplem is that there are a lot of services, but they are not compatible with each other. They can hardly be considered as elements of complicated business processes. It leads to creation of new services with duplicating functionality. Observed dynamics of service market development and its short term prediction clearly shows that in near future it will be impossible to satisfy all requests for new services and service infrastructure will become overheated. At the level of enterprises the problem is commonly solved by means of enterprise service bus, at the level of WWW – due to building and overall application of semantic web services. For the level of cities still there are no solutions that allow building complex logical structures based on existing services. The most obvious way for services integration is their unification. Even this simple solution is unimplementable for two reasons. First, it requires huge resources that depend on the total number of services. Second, it can affect the functionality of the services that is inadmissible for end users. So, one can say that at the level of the city integration solutions based on enterprise service bus are too light but Internet oriented solutions such as semantic web servises are too heavy. In this paper we propose a platform for agile service integration that allows linking services using semantic technologies. The platform does not generate additional requirements to services or imposes any restrictions. It supports linking services and, thus, building a net of services. Furthermore, it can reveal possible links between services that can enrich the service infrastructure. Sematic technologies form the base for integration platform. The services and their peculiar features are described in the platform ontology using OWL language. The OWL description of the services clarifies reasonable cases and ways for services usage. Similar approach is used for describing logic of complex services application. The processes of services interaction are defined in ontologies as well. For logic description BPEL is used

Scientific Portal of University Department - Shaping Research Area of Users through their Behavior

Nowadays open access to scientific data in addition to obtaining information is an essential factor for educational and research processes. A lot of universities publish open data (include scientific and educational data), but not all of them is used. The paper dwells on the scientific portal of a university department. It contains information about the university research activity (projects, publications, employees) that university employees could use for researches. To represent scientific and educational data the ontology model is developed. This model is based on the following vocabularies: FOAF, VIVO, BIBO and Teach. In addition, a case study of implementing the proposed solution at Computer Science and Applied Mathematics Department of ITMO University is presented

Scientific Portal of University Department - Shaping Research Area of Users through their Behavior

Nowadays open access to scientific data in addition to obtaining information is an essential factor for educational and research processes. A lot of universities publish open data (include scientific and educational data), but not all of them is used. The paper dwells on the scientific portal of a university department. It contains information about the university research activity (projects, publications, employees) that university employees could use for researches. To represent scientific and educational data the ontology model is developed. This model is based on the following vocabularies: FOAF, VIVO, BIBO and Teach. In addition, a case study of implementing the proposed solution at Computer Science and Applied Mathematics Department of ITMO University is presented