Olga Parkhimovich

The purpose of this paper is to describe the research plan of developing methodology for evaluation open budget datasets on municipal level. The aim of this methodology is to identify criteria for complex estimation of open budgets based on different aspects, such as dataset format, metadata about dataset, the access of dataset, dataset quality. The results of this study could be used for preparing recommendations for municipal government officials, who are involved in the development and publication of municipal budget datasets.

Open budgeting is very popular today. Publishing budgets as structured machine-readable data makes working with budget data simpler for analysts, developers. Budgets of countries are very different and developers need a unified format to exchange and reuse budget data. There are formats for transport data (GTFS), city issues (Open311) and etc., but no such format for budgets. In this paper, we suggest it. The format is compatible with different countries and could be extended by third-party programmers.

The paper concerns estimation of students' knowledge based on their learning results in the ECOLE system. ECOLE is the online eLearning system which functionality is based on several ontologies. This system allows to interlink terms from different courses and domains and calculates several educational rates: term knowledge rate, total knowledge rate, domain knowledge rate and term significance rate. All of these rates are used to give the student recommendations about the activities he has to undertake to pass a course successfully.

Opening budget information is one of the main approaches to build transparent government. By using technologies and open data people can build new services, innovations and make citizen society stronger. A lot of budget data published already around the world. Russian government also are interested in open budgets projects. But there is no appropriate, simple and flexible format for publishing budget data. In this paper we analyzed budget process, current structure of Russian budget, existing formats, frameworks and platforms for publishing to propose Open Budget Format as a first step to open budgets in Russia in good machine-readable manner.

The paper describes applying NLP algorithms to the ontology-based e-learning system. The main goal of the project is to develop a tool creating additional relations between entities based on internal analysis of object property values in the e-learning ontology. Authors present results of automated analysis of links between lecture terms and tests.

This paper discusses the Russian projects publishing open government data. The article also describes the development of the open linked data portal and its approach to convert open government data in the open linked data. Information Workbench is used to build this system. It allows storing, visualizing and converting data files in Semantic Web formats.