Abstract:

The materials presented at the Conference describe the results of recent years in the following areas: Open access to scientific data and knowledge in Earth Sciences; Data peculiarities in Earth Sciences: new concepts and methods, tools for their collection, integration and processing in different information systems, including systems with intensive use of data; Data mining and mathematical simulation of natural processes in Earth Sciences. Evolution of classical GIS-applications in Earth Sciences; Application to Critical Raw Materials (CRM); social aspects of mining (e.g., the Social Licence to Operate [SLO]); predictive mapping and applications to exploration, landuse and search for extensions of known deposits; Intelligent data analysis, elicitation of facts and knowledge from scientific publications. Thesauruses, ontologies and conceptual modeling. Semantic WEB, linked data. Services. Content semantic structuring. Applications for geosciences, e.g., Ontology-based Dynamic Decision Graphs for Expert systems and decision-aid tools; Application of methods and technologies of the remote sensing in Earth Sciences: from satellites to unmanned aerial vehicles; Information technologies for demonstration and popularization of scientific achievements in Earth Sciences; Applications: environmental risks including mining wastes, natural hazards, water resource management, etc.

Abstract: We present the large-scale linguistic ontology OENT aimed for the using in NLP for the solving of information retrieval tasks such as categorization and query expansion in the domain of natural science and technology. OENT is based on three approaches - traditions of librarian information retrieval thesauri, formal ontologies, WordNet-like resources.Also we describe several additional rules for concepts, text entries and relations. OENT includes 50 thousands concepts, more than 150 thousands text entries, 200 thousands direct relations and more than two millions inherited relations.

Abstract: Tashkent State Law University is the basic higher educational and scientific-methodological institution for the training of legal personnel in Uzbekistan. The formation and development of the Information Resource Center of Tashkent State Law University is inextricably linked with the history of the formation and development of the university itself.The author talks about the activities of the Information Resource Center, which is the most important link in the academic system of scientific information of the republic on legal sciences.

Abstract: Methods of the semantic documents parsing in digital control system of scientific collections, including electronic journals, offered. The methods of processing documents containing mathematical formulas and methods for the conversion of documents from the OpenXML-format in ТеХ-format considered. The search algorithm for the mathematical formulas in the collections of documents stored in OpenXML-format designed. The algorithm is implemented as online-service on platform science.tatarstan.

Abstract:

The article describes the use of information technologies and modern means of digitalization in organizing and holding a Conference on IT in Earth Sciences. Modern aspects of visualization are also described in the reports of the Conference participants.

Abstract: This article discusses approaches to the creation of an electronic scientific journal tool platform that provides the publication of multimedia materials through a web interface. The problems associated with the need to include multimedia data of different types are described and a working prototype of the multimedia of the scientific journal is presented.

Abstract: This presentation presents pedagogical recommendations based on experience of working with talented students.

Abstract: The article describes the experience of usage of new mobile map platform «CarryMap» in preparation for the detailed geostructural mapping and geochemical study of the Olon-Obod gold ore cluster (Southern Mongolia). The authors accumulated all types of geological information into a single ArcGIS project. The project contains raster maps, vector maps, and digital geological information. We converted this project in CMF2 and placed on mobile iOS & Android devices.

Abstract:

Over a period of about twenty years, the IIS SB RAS has created information systems of historical orientation: the Electronic Archive of Academician A.P. Ershov, the Photo Archive of the Siberian Branch of the RAS, the Archive of the newspaper “Science in Siberia”, the Open Archive of the SB RAS, etc. Each of the resources has its own specifics but in general their content is based on the general social and territorial basis of scientific and public activities of the SB AS USSR/RAS and the Novosibirsk Akademgorodok. In this report we will look at some of the problems of integrating/disintegrating disparate electronic resources into a common platform using existing and emerging tools.

Abstract:

Classification of documents with the assignment of classifier codes is a traditional way of systematizing and searching for documents on a specific topic. The Universal Decimal Classification (UDC) underlies the systematization of knowledge presented in libraries, databases and other information repositories. In Russia, UDC is an obligatory attribute of all book production and information on natural and technical sciences. The choice of classification codes is associated with the analysis of the structure of the classifier tree and is traditionally decided by the author of a scientific article. This article proposes a solution for automating the assigning the UDC classification code for a mathematical article based on a special resource – the OntoMath^PRO ontology for professional mathematics, developed at Kazan Federal University. An approach to solving the problem is to create "code maps" for each classifying code in the UDC tree in the field of mathematics. Under the "code map" is meant a weighted set of all extracted, with the help of OntoMath^PRO ontology, mathematical named entities from the collection of articles with a given UDC code. The creation of "code maps" is based on the hypothesis that the choice of the UDC code is determined by a certain set of classifying features that can be represented by classes from the OntoMath^PRO ontology. The proposed hypothesis was tested and confirmed in the paper. The hypothesis was tested on a collection of mathematical articles An approach to solving the problem is to create "code maps" for each classifying code in the UDC tree in the field of mathematics. Under the "code map" is meant a weighted set of all extracted, with the help of OntoMath^PRO ontology, mathematical named entities from the collection of articles with a given UDC code. The creation of "code maps" is based on the hypothesis that the choice of the UDC code is determined by a certain set of classifying features that can be represented by classes from the OntoMath^PRO ontology. The proposed hypothesis was tested and confirmed in the paper.  The hypothesis was tested on a collection of mathematical articles published during 1999-2009 in the "Izvestiya VUZov. Mathematics" journal.