47 research outputs found
Research and Development Workstation Environment: the new class of Current Research Information Systems
Against the backdrop of the development of modern technologies in the field
of scientific research the new class of Current Research Information Systems
(CRIS) and related intelligent information technologies has arisen. It was
called - Research and Development Workstation Environment (RDWE) - the
comprehensive problem-oriented information systems for scientific research and
development lifecycle support. The given paper describes design and development
fundamentals of the RDWE class systems. The RDWE class system's generalized
information model is represented in the article as a three-tuple composite web
service that include: a set of atomic web services, each of them can be
designed and developed as a microservice or a desktop application, that allows
them to be used as an independent software separately; a set of functions, the
functional filling-up of the Research and Development Workstation Environment;
a subset of atomic web services that are required to implement function of
composite web service. In accordance with the fundamental information model of
the RDWE class the system for supporting research in the field of ontology
engineering - the automated building of applied ontology in an arbitrary domain
area, scientific and technical creativity - the automated preparation of
application documents for patenting inventions in Ukraine was developed. It was
called - Personal Research Information System. A distinctive feature of such
systems is the possibility of their problematic orientation to various types of
scientific activities by combining on a variety of functional services and
adding new ones within the cloud integrated environment. The main results of
our work are focused on enhancing the effectiveness of the scientist's research
and development lifecycle in the arbitrary domain area.Comment: In English, 13 pages, 1 figure, 1 table, added references in Russian.
Published. Prepared for special issue (UkrPROG 2018 conference) of the
scientific journal "Problems of programming" (Founder: National Academy of
Sciences of Ukraine, Institute of Software Systems of NAS Ukraine
Selfstructurized Systems
The problems of constructing the selfsrtucturized systems of memory of intelligence information
processing tools, allowing formation of associative links in the memory, hierarchical organization and
classification, generating concepts in the process of the information input, are discussed. The principles and
methods for realization of selfstructurized systems on basis of hierarchic network structures of some special class
– growing pyramidal network are studied. The algorithms for building, learning and recognition on basis of such
type network structures are proposed. The examples of practical application are demonstrated
Hierarchical Three-level Ontology for Text Processing
The principal feature of ontology, which is developed for a text processing, is wider knowledge
representation of an external world due to introduction of three-level hierarchy. It allows to improve semantic
interpretation of natural language texts
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach
We design a new technique for the distributional semantic modeling with a
neural network-based approach to learn distributed term representations (or
term embeddings) - term vector space models as a result, inspired by the recent
ontology-related approach (using different types of contextual knowledge such
as syntactic knowledge, terminological knowledge, semantic knowledge, etc.) to
the identification of terms (term extraction) and relations between them
(relation extraction) called semantic pre-processing technology - SPT. Our
method relies on automatic term extraction from the natural language texts and
subsequent formation of the problem-oriented or application-oriented (also
deeply annotated) text corpora where the fundamental entity is the term
(includes non-compositional and compositional terms). This gives us an
opportunity to changeover from distributed word representations (or word
embeddings) to distributed term representations (or term embeddings). This
transition will allow to generate more accurate semantic maps of different
subject domains (also, of relations between input terms - it is useful to
explore clusters and oppositions, or to test your hypotheses about them). The
semantic map can be represented as a graph using Vec2graph - a Python library
for visualizing word embeddings (term embeddings in our case) as dynamic and
interactive graphs. The Vec2graph library coupled with term embeddings will not
only improve accuracy in solving standard NLP tasks, but also update the
conventional concept of automated ontology development. The main practical
result of our work is the development kit (set of toolkits represented as web
service APIs and web application), which provides all necessary routines for
the basic linguistic pre-processing and the semantic pre-processing of the
natural language texts in Ukrainian for future training of term vector space
models.Comment: In English, 9 pages, 2 figures. Not published yet. Prepared for
special issue (UkrPROG 2020 conference) of the scientific journal "Problems
in programming" (Founder: National Academy of Sciences of Ukraine, Institute
of Software Systems of NAS Ukraine
Informational Model of Natural Language Processing
The formal model of natural language processing in knowledge-based information systems is
considered. The components realizing functions of offered formal model are described
Hybrid e-rehabilitation services: SMART-system for remote support of rehabilitation activities and services
One of the most effective solutions in medical rehabilitation assistance is remote patient / person-centered rehabilitation. Rehabilitation also needs effective methods for the “Physical therapist – Patient – Multidisciplinary team” system, including the statistical processing of large volumes of data. Therefore, along with the traditional means of rehabilitation, as part of the “Transdisciplinary intelligent information and analytical system for the rehabilitation processes support in a pandemic (TISP)” in this paper, we introduce and define: the basic concepts of the new hybrid e-rehabilitation notion and its fundamental foundations; the formalization concept of the new Smart-system for remote support of rehabilitation activities and services; and the methodological foundations for the use of services (UkrVectores and vHealth) of the remote Patient / Person-centered Smart-system. The software implementation of the services of the Smart-system has been developed
Developing of Distributed Virtual Laboratories for Smart Sensor System Design Based on Multi-Dimensional Access Method
In the article it is considered preconditions and main principles of creation of virtual laboratories for
computer-aided design, as tools for interdisciplinary researches. Virtual laboratory, what are offered, is worth to
be used on the stage of the requirements specification or EFT-stage, because it gives the possibility of fast
estimating of the project realization, certain characteristics and, as a result, expected benefit of its applications.
Using of these technologies already increase automation level of design stages of new devices for different
purposes. Proposed computer technology gives possibility to specialists from such scientific fields, as chemistry,
biology, biochemistry, physics etc, to check possibility of device creating on the basis of developed sensors. It lets
to reduce terms and costs of designing of computer devices and systems on the early stages of designing, for
example on the stage of requirements specification or EFT-stage. An important feature of this project is using the
advanced multi-dimensional access method for organizing the information base of the Virtual laboratory