Automatic construction and enrichment of informal ontologies: A survey

The conceptualization of knowledge required for an efficient processing of textual data is usually represented as ontologies. Depending on the knowledge domain and tasks, different types of ontologies are constructed: formal ontologies, which involve axioms and detailed relations between concepts; taxonomies, which are hierarchically organized concepts; and informal ontologies, such as Internet encyclopedias created and maintained by user communities. Manual construction of ontologies is a time-consuming and costly process requiring the participation of experts; therefore, in recent years, there have appeared many systems that automate this process in a greater or lesser degree. This paper provides an overview of methods for automatic construction and enrichment of ontologies, with the focus being placed on informal ontologies.     

Systems approach to the development of equipment provision for roentgenological research]

A systemic approach to the X-ray out fits allowed 3 levels of the roentgen-diagnostic process to be singled out, viz. the lower with the data the data "normally--anormality", the medium, with a tentative conclusion and the highest, with an authentic diagnosis at the output end. The levels may be characterized by formulas reflecting the number of inputs, processes (methods) and outputs. The optimal roentgenological facilities should be in keeping with the diagnostic levels formulas. The prospects for improving the facilities involve a systemic approach to the development of equipment and an integration on this basis of the investigation methods, both horizontally (within the framework of roentgenology) and vertically (outside roentgenology).     

ATR4S: toolkit with state-of-the-art automatic terms recognition methods in Scala

Automatically recognized terminology is widely used for various domain-specific texts processing tasks, such as machine translation, information retrieval or ontology construction. However, there is still no agreement on which methods are best suited for particular settings and, moreover, there is no reliable comparison of already developed methods. We believe that one of the main reasons is the lack of state-of-the-art method implementations, which are usually non-trivial to recreate—mostly, in terms of software engineering efforts. In order to address these issues, we present ATR4S, an open-source software written in Scala that comprises 13 state-of-the-art methods for automatic terminology recognition (ATR) and implements the whole pipeline from text document preprocessing, to term candidates collection, term candidate scoring, and finally, term candidate ranking. It is highly scalable, modular and configurable tool with support of automatic caching. We also compare 13 state-of-the-art methods on 7 open datasets by average precision and processing time. Experimental comparison reveals that no single method demonstrates best average precision for all datasets and that other available tools for ATR do not contain the best methods.     

A Source of Accelerated Metal Plasma Flow with Controllable Parameters

Technical Physics Letters - Parameters of the metal plasma flow generated by a source with heated liquid anode have been studied during motion in axial magnetic field. It is established that the...     

Algorithmic Correction of Magnetometer Device Errors

Measurement Techniques - The problems of using gradient measurements in magnetic exploration are considered. In many cases, to solve various geological problems, information on the intensity of the...     

Quality Control of Cores Made of Nanocrystalline Alloys Intended for Primary Transducers of a Drill-Hole Magnetometer–Inclinometer

The influence of different types of thermal magnetic treatment of ferroprobe cores made of the Fe_73.5Cu₁Nb₃Si_13.5B₉ nanocrystalline alloy on the characteristics of primary transducers of a drill-hole magnetometer has been studied. The informative parameters of the Barkhausen effect (a stepwise change in the magnetization of a material) were used to monitor the quality of the cores. Thermal magnetic treatment in a high-frequency magnetic field has been shown to be the optimum treatment for decreasing the sensitivity threshold of a magnetometer, whereas thermal magnetic treatment in a constant magnetic field is the optimum method for improving the operational characteristics of a magnetometer.     

Texterra: A framework for text analysis

A framework for fast text analysis, which is developed as a part of the Texterra project, is described. Texterra provides a scalable solution for the fast text processing on the basis of novel methods that exploit knowledge extracted from the Web and text documents. For the developed tools, details of the project, use cases, and evaluation results are presented.