Wyniki wyszukiwania - BazTech

1

Design and application of an ontology to identify crop areas and improve land use

Riaño Maddyzeth Ariza, Rodriguez Andres Ovidio Restrepo, Velandia Julio Barón, García Paulo Alonso Gaona, Montenegro Marín Carlos Enrique

Acta Geophysica

|

2023

|

Vol. 71, no. 3

1409--1426

EN

Agricultural development in Colombia has been characterized by being carried out in a local and traditional way, where important basic aspects are not always considered for the best performance of crops. These characteristics are presented in official government documentation distinguished by its heterogeneity. Ontologies in the domain of agriculture allow the organization and structuring of information to represent knowledge in such a way that the homogeneity of agricultural data dispersed in different types of documents such as manuals, weather reports, and official technical sheets is achieved. In accordance with the above, this work presents the development of an ontology in the agricultural domain to facilitate the identification of cultivation areas and improve land use, relating the basic concepts for an effective crop development according to the specifications and recommendations proposed in Colombian government documentation, using the Methontology methodology. This is achieved with the application of descriptive logic that, based on rules, generates inferences to identify the cultivation options and cultivable areas that present the highest performance. The interaction and use of the ontological model and inference rules are done through a web application made with Python and Flask. The precision of the model is evaluated using historical data of crops produced, making a comparison between the real data and the results obtained through the ontological model, obtaining as a result 80% reliability.

2

Semantic product personalization based on the CogniPy environment

Dobrowolski Dariusz, Świątkowski Jakub

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

|

2022

|

z. 162

141--152

EN

Purpose: The aim of the publication was to visualize the process of creating knowledge on the example of the CP Factory production line. For this purpose, the data contained in the relational databases and data of the operating production line were used. This data was converted to the form required by the CogniPy environment to create a semantic ontology for product personalization. Design/methodology/approach: With the available software based on ontologies and knowledge charts, the possibility of common human-computer reasoning has been opened, especially in production management. Findings: During the activities carried out, the on-conceptualization of the knowledge contained in the production management system was brought to an ontological form. At the moment, the information contained in the database is not very different from the data existing in the relational database. However, further modeling of ontology can be directed towards the creation of rules, logic and axioms of production processes. Practical implications: The operations and transformations performed presented the operation of CogniPy in the process of creating ontology and materializing the graph and queries. The created ontology takes the form of a universal set of knowledge that makes it open to wide integration with other systems. Originality/value: The publication shows the possibilities of using the CogniPy environment in the construction of ontology and semantic product personalization.

3

Analysis of communication ontology between sea-going vessels in real collision situations

Hatłas-Sowińska Paulina, Wielgosz Mirosław

Zeszyty Naukowe Akademii Morskiej w Szczecinie

|

2022

|

nr 69 (141)

91--97

EN

This article explores the use of ontology for semi-automatic marine vessel navigation and ship-to-ship communication to mitigate collision risk. Semi-automatic vessel communication is a step towards automatic communication for autonomous ships. Examples of how such communication can be used is discussed, based on a comprehensive analysis of selected marine collisions, with particular attention to the communication conducted on ships. The effectiveness of such communication was assessed and compared. The suggested solutions are based on the review of official reports from accident investigations. The novelties of this work include original ontologies and interfaces. Through this work, it could be possible to fully automate communication processes between ships. In future work, the research results in this work will be used to create a system of automatic communications for manned and autonomous vessels.

4

Semantic Knowledge Management and Blockchain-based Privacy for Internet of Things Applications

Lamri Manal, Sabri Lyazid

Journal of Telecommunications and Information Technology

|

2022

|

nr 3

75--83

EN

Design of distributed complex systems raises several important challenges, such as: confidentiality, data authentication and integrity, semantic contextual knowledge sharing, as well as common and intelligible understanding of the environment. Among the many challenges are semantic heterogeneity that occurs during dynamic knowledge extraction and authorization decisions which need to be taken when a resource is Accessem in an open, dynamic environment. Blockchain offers the tools to protect sensitive personal data and solve reliability issues by providing a secure communication architecture. However, setting-up blockchain-based applications comes with many challenges, including processing and fusing heterogeneous information from various sources. The ontology model explored in this paper relies on a unified knowledge representation method and thus is the backbone of a distributed system aiming to tackle semantic heterogeneity and to model decentralized management of Access control authorizations.We intertwine the blockchain technology with an ontological model to enhance knowledge management processes for distributed systems. Therefore, rather than reling on the mediation of a third party, the approach enhances autonomous decision-making. The proposed approach collects data generated by sensors into higher-level abstraction using n-ary hierarchical structures to describe entities and actions. Moreover, the proposed semantic architecture relies on hyperledger fabric to ensure the checking and authentication of knowledge integrity while preserving privacy.

5

ReqTagger: A Rule-Based Tagger for Automatic Glossary of Terms Extraction from Ontology Requirements

Wiśniewski Dawid, Potoniec Jędrzej, Ławrynowicz Agnieszka

Foundations of Computing and Decision Sciences

|

2022

|

Vol. 47, No. 1

65--86

EN

Glossary of Terms extraction from textual requirements is an impor- tant step in ontology engineering methodologies. Although initially it was intended to be performed manually, last years have shown that some degree of automatization is possible. Based on these promising approaches, we introduce a novel, human inter- pretable, rule-based method named ReqTagger, which can extract candidates for ontology entities (classes or instances) and relations (data or object properties) from textual requirements automatically. We compare ReqTagger to existing automatic methods on an evaluation benchmark consisting of over 550 requirements and tagged with over 1700 entities and relations expected to be extracted. We discuss the quality of ReqTagger and provide details showing why it outperforms other methods. We also publish both the evaluation dataset and the implementation of ReqTagger.

6

Ontology-Based Semantic Checking of Data

Shynkarenko Viktor, Zhuchyi Larysa, Ivanov Oleksandr

Foundations of Computing and Decision Sciences

|

2022

|

Vol. 47, No. 3

291--319

EN

Semantic checking of railway infrastructure information support data is one of the ways to improve the consistency of information system data and, as a result, increase the safety of train traffic. Existing ontological developments have demonstrated the applicability of description logic for modelling railway transport, but have not paid enough attention to the data resources structure and the railway regulatory support. In this work, the formalization of the tabular presentation of data and the rules of railway transport regulations is carried out using the example of a connection track passport and temporary speed restrictions using ontological means, data wrangling and extraction tools. Ontologies of the various formats data resources and railway station infrastructure, tools for converting and extracting data have been developed. The semantic checking of the compliance of railway information system data with regulatory documents in terms of the connection track passport is carried out on the basis of a multi-level concretization model and integration of ontologies. The mechanisms for implementing the constituent ontologies and their integration are demonstrated by an example. Further research includes ontological checking of natural language normative documents of railway transport.

7

Usage of deep learning in recent applications

Dubey A.

Archives of Materials Science and Engineering

|

2022

|

Vol. 115, nr 2

49--57

EN

Purpose: Deep learning is a predominant branch in machine learning, which is inspired by the operation of the human biological brain in processing information and capturing insights. Machine learning evolved to deep learning, which helps to reduce the involvement of an expert. In machine learning, the performance depends on what the expert extracts manner features, but deep neural networks are self-capable for extracting features. Design/methodology/approach: Deep learning performs well with a large amount of data than traditional machine learning algorithms, and also deep neural networks can give better results with different kinds of unstructured data. Findings: Deep learning is an inevitable approach in real-world applications such as computer vision where information from the visual world is extracted, in the field of natural language processing involving analyzing and understanding human languages in its meaningful way, in the medical area for diagnosing and detection, in the forecasting of weather and other natural processes, in field of cybersecurity to provide a continuous functioning for computer systems and network from attack or harm, in field of navigation and so on. Practical implications: Due to these advantages, deep learning algorithms are applied to a variety of complex tasks. With the help of deep learning, the tasks that had been said as unachievable can be solved. Originality/value: This paper describes the brief study of the real-world application problems domain with deep learning solutions.

8

Elaboration of financial fraud ontology

Hussaini Adamu, Guessoum Zahia, Mercier-Laurent Eunika

Annals of Computer Science and Information Systems

|

2022

|

Vol. 32

277--285

EN

Financial Frauds have dynamically changed, the fraudsters are becoming more sophisticated.There has been an estimated global loss of 5.127 trillion each year due to various forms of financial frauds. Industries like banking, insurance, e-commerce and telecommunication are the main victims of financial frauds. Several techniques have been proposed and applied to understand and detect financial frauds. In this paper we propose an ontology to describe financial frauds and related knowledge. The aim of this ontology is to provide a semantic framework for the detection of financial frauds. Theoretical ontology has been elaborated exploring various sources of information. After describing the research objectives, related works and research methodology, this paper presents details of theoretical ontology. It is followed by its validation using real data sets. Discussion of the obtained results gives some perspectives for the future work.

9

Shaping the world picture: Notes on Andrzej Piotrowski's Architecture of Thought: Part II

Salata Oksana Oleksiivna, Stelmach Bolesław

Wiadomości Konserwatorskie

|

2021

|

Nr 68S

176--182

EN

Phenomenological studies are of fundamental significance to the discipline of architecture and urban design. Gaining insight not the transformation of space by coming into contact with space “in and of itself ” has an essential weight in a period of Heidegger’s world picture. Such rarely encountered non-verbal analyses are presented by Andrzej Piotrowski in his book Architecture of Thought. The authors, in recognition of the weight and originality of Piotrowski’s studies, point to the “axiological trap” that is based on a partial formulation of evaluative hypotheses instead of epistemological analyses. We can therefore accuse them of presentism-an ahistorical perception of phenomena and mechanisms. In this context, it is necessary to bring up the thought of Friedrich Nietzsche, that only the present exist. The past and future are illusions. His concept of time forces a phenomenological perception of reality, here and now, as well as an ontic reflection via an existential, individual experience of each and every one of us.

PL

Dla dziedziny architektura i urbanistyka zasadnicze znaczenie mają badania fenomenologiczne. Poznanie przekształcania przestrzeni poprzez obcowanie z przestrzenią „samą w sobie” ma w dobie heideggerowskiego „światoobrazu” zasadniczą wagę. Takie rzadko spotykane niewerbalne analizy prezentuje Andrzej Piotrowski w swojej książce Architektura myśli (Architecture of Thought). Autorzy artykułu doceniając wagę i oryginalność badań Piotrowskiego, wskazują na „pułapkę aksjologiczną”, która polega na częściowym stawianiu tez wartościujących zamiast epistemologicznych analiz. Można tym samym zarzucić im prezentyzm – ahistoryczne postrzeganie zjawisk i mechanizmów. Trzeba w tym kontekście przypomnieć myśl Fryderyka Nietzsche, że naprawdę istnieje tylko czas teraźniejszy, przeszłość i przyszłość to iluzje. Jego koncepcja czasu zmusza do fenomenologicznego odbioru rzeczywistości, tu i teraz, do refleksji ontycznej poprzez egzystencjonalne indywidualne doświadczenie każdego z nas.

10

O potrzebie ontologii. Wypisy z lektury Architecture of thought Andrzeja Piotrowskiego

Salata Oksana Oleksiivna, Stelmach Bolesław

Wiadomości Konserwatorskie

|

2021

|

Nr 66

121--133

PL

Wśród badań przekształcania przestrzeni brakuje analiz z perspektywy niewerbalnej – fenomenologicznej. Do wyjątkowych prób należy książka Andrzeja Piotrowskiego, Associated Professor University of Minnesota, Architecture of thought. Jego badania posługują się bezpośrednim doświadczaniem przestrzeni i wszystkimi instrumentami wiedzy architektonicznej, wzbogacając naszą wiedzę o dziedzictwie kultury czy historii zabytków. Ogniskują się wokół „nagromadzenia myśli” – przyczyny sprawczej budowania, jako odwrotności „niemożliwości pomyślenia” Theodora W. Adorno. Artykuł, doceniając i szanując wiedzę i perspektywę badawczą autora, polemizuje z epistemologicznymi, a w istocie aksjologicznymi tezami. Proponuje spojrzenie na przekształcanie przestrzeni przez pryzmat ontologii fundamentalnej Martina Heideggera.

EN

There is a lack of analysis from a non-verbal perspective-a phenomenological perspective-among studies on the transformation of space. The book Architecture of Thought by Andrzej Piotrowski, Associated Professor of the University of Minnesota, is one such extraordinary attempt. His study utilizes direct experience of space and all the instruments of architectural knowledge, enhancing our understanding of the heritage of culture or the history of monuments. It is focused on “the accumulation of thoughts”-the driving cause behind building as a reversal of Theodor W. Adorno’s “unthinkability.” This paper, while expressing appreciation for and respect for the author’s knowledge and perspective, argues with his epistemological and essentially axiological arguments. It proposes an outlook on the transformation of space through the prism of Martin Heidegger’s fundamental ontology.

11

Human integration in an ontology-based IoT system

Skarżyński Kamil, Bartyna Waldemar, Stępniak Marcin

Studia Informatica : systems and information technology

|

2020

|

Vol. 1-2(24)

53--69

EN

The IoT systems are growing field of automation. In contrast to industrial applications, where the system is custom made for each customer or use case, the home IoT systems can be composed and used in many, sometimes dangerous and unpredictable, ways. This paper presents a system that is based on a common ontology as a unified and universal method of representing the environment including humans. Such approach allows for easy integration of heterogenous devices and declarative definition of services, tasks, and rules ensuring human safety and/or comfort.

12

Improving Short Text Classification using Information from DBpedia Ontology

Flisar Jernej, Podgorelec Vili

Fundamenta Informaticae

|

2020

|

Vol. 172, nr 3

261--297

EN

With the emergence of social networks and micro-blogs, a huge amount of short textual documents are generated on a daily basis, for which effective tools for organization and classification are needed. These short text documents have extremely sparse representation, which is the main cause for the poor classification performance. We propose a new approach, where we identify relevant concepts in short text documents with the use of the DBpedia Spotlight framework and enrich the text with information derived from DBpedia ontology, which reduces the sparseness. We have developed six variants of text enrichment methods and tested them on four short text datasets using seven classification algorithms. The obtained results were compared to those of the baseline approach, among themselves, and also to some state-of-the-art text classification methods. Beside classification performance, the influence of the concepts similarity threshold and the size of the training data were also evaluated. The results show that the proposed text enrichment approach significantly improves classification of short texts and is robust with respect to different input sources, domains, and sizes of available training data. The proposed text enrichment methods proved to be beneficial for classification of short text documents, especially when only a small amount of documents are available for training.

13

The Approach to Specialized Transdisciplinary Information-analytical System Development

Popova Maryna, Novogrudska Rina

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes

|

2020

|

Vol. 9, No 1

10--17

EN

The article proposes an approach to the specialized transdisciplinary system development that allows ensuring access to modern achievements in the field of education, science, and technology. Such an approach involves an information-analytical system designing for supporting the educational and research activities of the student youth using the software platform “Trans-disciplinary Educational Dialogues of Applications’ Ontology Systems” (TEDAOS). The TEDAOS software tools provide the formation of ontological models in the form of knowledge prism, that are proposed to be used to present the results of student youth activities, the results of scientific and technical researches held in fundamental and applied research institutions, as well as curriculum, educational and methodological materials. The information-analytical system being developed allow to aggregate and integrate information resources and systems, created in various formats according to different standards and technologies, by using the ontological approach to knowledge representation to support the youth educational and research activities.

14

A methodology for cloud manufacturing architecture in the context of industry 4.0

Talhi E., Huet J.-C., Fortineau V., Lamouri S.

Bulletin of the Polish Academy of Sciences. Technical Sciences

|

2020

|

Vol. 68, nr 2

271--284

EN

This paper deals with a methodology for the implementation of cloud manufacturing (CM) architecture. CM is a current paradigm in which dynamically scalable and virtualized resources are provided to users as services over the Internet. CM is based on the concept of coud computing, which is essential in the Industry 4.0 trend. A CM architecture is employed to map users and providers of manufacturing resources. It reduces costs and development time during a product lifecycle. Some providers use different descriptions of their services, so we propose taking advantage of semantic web technologies such as ontologies to tackle this issue. Indeed, robust tools are proposed for mapping providers’ descriptions and user requests to find the most appropriate service. The ontology defines the stages of the product lifecycle as services. It also takes into account the features of coud computing (storage, computing capacity, etc.). The CM ontology will contribute to intelligent and automated service discovery. The proposed methodology is inspired by the ASDI framework (analysis–specification–design–implementation), which has already been used in the supply chain, healthcare and manufacturing domains. The aim of the new methodology is to propose an easy method of designing a library of components for a CM architecture. An example of the application of this methodology with a simulation model, based on the CloudSim software, is presented. The result can be used to help the industrial decision-makers who want to design CM architectures.

15

Development of an ontology-based adaptive personalized e-learning system

Boyinbode Olutayo, Olotu Paul, Akintola Kolawole

Applied Computer Science

|

2020

|

Vol. 16, no 4

64--84

EN

E-learning has fast become an active field of research with a lot of investments towards web-based delivery of personalized learning contents to learners. Some issues of e-learning arise from the heterogeneity and interoperability of learning content adapting to learner's styles and preferences. This has brought about the development of an ontology-based personalized learning system to solve this problem. This research developed an ontology-based personalized e-learning system that presents suitable learning contents to learners based on their learning style, preferences, background knowledge, and personal profile.

16

Named Entity Recognition and Named Entity Linking on Esports Contents

Liu Ziyu, Leng Yifan, Wang Meiqi, Lin Congzhu

Annals of Computer Science and Information Systems

|

2020

|

Vol. 21

189--192

EN

We built a named entity recognition/linking system on Esports News. We established an ontology for Esports-related entities, collected and annotated corpus from 80 articles on 4 different Esports titles, trained CRF and BERT-based entity recognizer, built a basic DOTA2 knowledge base and a Entity linker that links mentions to articles in Liquipedia, and an end-to-end web app which serves as a demo of this entire proof-of-conecpt system. Our system achieved an over 61% overall entity-level F1-score on the test set for the NER task.

17

Semantic description of the organizational knowledge resources - selected aspects of security

Niedbał Rafał, Zhuravskaya Marina

System Safety : Human - Technical Facility - Environment

|

2019

|

Vol. 1, nr 1

956--961

EN

The paper proposes the use of semantic modeling to describe the organizational knowledge resources. Key concepts related to semantic representation of knowledge in the form of ontology were also presented. The study indicated opportunities for creating new business models based on the organizational knowledge resources formalized in ontologies (ontology providers, organizations that certify knowledge available in the form of ontologies and clients using paid knowledge resources in ontology in order to automate certain areas of their activity. The investigations were presented in light of safety mechanisms whose implementation is necessary when using a semantic approach in describing the organizational knowledge resources and creating new business models based on this approach, including mechanisms for protecting information and knowledge from unauthorized access, certificates that describe the level of trust and the design of a secure user interface. The focus was also on the fact that the formalization of organizational knowledge resources and its representation in an electronic form (ontologies) poses a major challenge for knowledge engineers and leads to the necessity to cooperate in research on the borderline of management and IT sciences.

18

Introducing narratives in Europeana: A case study

Meghini Carlo, Bartalesi Valentina, Metilli Daniele, Benedetti Filippo

International Journal of Applied Mathematics and Computer Science

|

2019

|

Vol. 29, no. 1

7--16

EN

We present a preliminary study to introduce narratives as a first-class functionality in digital libraries. The general idea is to enrich those libraries with semantic networks of events providing a meaningful contextualisation of the digital libraries’ objects. More specific motivations are presented through a set of use cases by different actors who would benefit from using narratives for different purposes. Then, we consider a specific digital library, Europeana, the largest European digital library in the cultural heritage domain. We discuss how the Europeana Data Model could be extended for representing narratives, and we introduce an ontology for narratives. We also present a semi-automatic tool, which, on the basis of the ontology, supports the creation and visualisation of narratives, and we show how the tool has been employed to create a narrative of the life of the painter Gustav Klimt as a case study. In particular, we focus our attention on the functionality of the tool that allows extracting and proposing to the user specific digital objects for each event of the narrative.

19

Model of engineering education with the use of the competence-project approach, ontological engineering and smart contracts of knowledge components

Kubekov Bulat, Bobrov Leonid, Utegenova Anar, Naumenko Vitaly, Alenova Raigul

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

|

2019

|

T. 9, nr 3

14--17

EN

The article presents the results of research related to the use of ontological and design competence approaches for the development of knowledge components and their subsequent use for designing individual trajectories of engineering education. The methodology of engineering education is considered, which, together with the initiative CDIO, the project-competence model and the knowledge display in the form of ontology, can be used as the main tool for modelling the propositional presentation of thought. Within the framework of the ontological approach, a knowledge specification language has been developed, which allows modelling the ontologies of supporting concepts of the semantic context of educational resources and specifying them in the form of knowledge expressions. The introduced formalisms and rules of the language of knowledge specification give the expressions of knowledge the properties of adaptability, extensibility, easement of processing and maintenance, which is important in designing engineering education level programs. This technique was tested on the material of the famous monograph by Hassan Goma “UML. Designing real-time systems, parallel and distributed applications" for the project "Banking system of client-server type" and is used on classes. Expressions of knowledge, together with their interfaces, are knowledge components from which individual learning trajectories are constructed.

PL

W artykule przedstawiono wyniki badań związanych z wykorzystaniem podejść kompetencyjnych ontologicznych i projektowych do opracowania komponentów wiedzy i ich późniejszego wykorzystania do projektowania indywidualnych ścieżek edukacji inżynierskiej. Rozważana jest metodologia edukacji inżynierskiej, która wraz z inicjatywą CDIO, modelem kompetencji projektowych i prezentacją wiedzy w formie ontologii, może być wykorzystana jako główne narzędzie do modelowania propozycji prezentacji myśli. W ramach podejścia ontologicznego opracowano język specyfikacji wiedzy, który pozwala modelować ontologie wspierające koncepcje semantycznego kontekstu zasobów edukacyjnych i określać je w formie wyrażeń wiedzy. Wprowadzone formalizacje i reguły języka specyfikacji wiedzy nadają wyrażeniom wiedzy właściwości adaptowalności, rozszerzalności, łatwości przetwarzania i konserwacji, co jest ważne przy projektowaniu programów inżynieryjnych. Technika ta została sprawdzona na materiale słynnej monografii Hassana Gomy “UML. Designing real-time systems, parallel and distributed applications" w projekcie "Banking system of client-server type" („System bankowy typu klient-serwer ”) i jest wykorzystywana na zajęciach. Wyrażenia wiedzy, wraz z ich interfejsami, są składnikami wiedzy, z których budowane są indywidualne ścieżki uczenia się.

20

Knowledge transfer as one of the factors of increasing university competitiveness

Bazarova Madina, Wojcik Waldemar, Zhomartkyzy Gulnaz, Kumargazhanova Saule, Popova Galina

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

|

2019

|

T. 9, nr 3

4--9

EN

The paper deals with university knowledge transfer. The adjustment of relations between universities and enterprises makes knowledge transfer a necessary requirement for university development to ensure the implementation of market-oriented educational programs. The paper proposes use of modular competency-based and ontological approaches to ensure the university knowledge transfer. The initial data is presented in the databases of the university, authorized bodies of education and science, enterprises, business structures and professional standards. This data is processed and scanned for knowledge to be put into the knowledge database with technological (informational) and modular competency-based approaches. As part of a market-oriented innovation university concept the task is to improve the education system in relation to skills development. To solve this problem it is necessary to build a distributed information system of university knowledge transfer. It is necessary to create a unified educational space – an educational portal – to ensure the university knowledge transfer between all participants - teachers, students and employers. The study offers an architectural solution for a distributed information system.

PL

Artykuł dotyczy transferu wiedzy uniwersyteckiej. Dostosowanie relacji między uniwersytetami a przedsiębiorstwami sprawia, że transfer wiedzy jest niezbędnym warunkiem rozwoju uniwersytetów, aby zapewnić realizację programów edukacyjnych zorientowanych na rynek. W artykule zaproponowano zastosowanie modułowego podejścia opartego na kompetencjach i ontologii, aby zapewnić transfer wiedzy uniwersyteckiej. Wstępne dane są prezentowane w bazach danych uniwersytetu, upoważnionych organów oświaty i nauki, przedsiębiorstw, struktur biznesowych i standardów zawodowych. Dane te są przetwarzane i skanowane w celu umieszczenia wiedzy w bazie wiedzy za pomocą technologicznych (informacyjnych) i modułowych podejść opartych na kompetencjach. W ramach zorientowanej rynkowo koncepcji uniwersytetów innowacyjnych zadaniem jest ulepszenie systemu edukacji w odniesieniu do rozwoju umiejętności. Aby rozwiązać ten problem, konieczne jest zbudowanie rozproszonego systemu informacji o transferze wiedzy uniwersyteckiej. Konieczne jest stworzenie jednolitej przestrzeni edukacyjnej – portalu edukacyjnego – aby zapewnić transfer wiedzy uniwersyteckiej między wszystkimi uczestnikami – nauczycielami, studentami i pracodawcami. Badanie oferuje rozwiązanie architektoniczne dla rozproszonego systemu informatycznego.