[Paper Review] Design and software implementation of subsystems for creating and using the ontological base of a research scientist

Oleksandr Palagin, Kyrylo Malakhov+2 more|arXiv (Cornell University)|Feb 17, 2018

Scientific Computing and Data Management3 references3 citations

TL;DR

This paper presents a software architecture and implementation for a personalized ontological knowledge base within a research scientist's workstation, enabling structured representation and reuse of scientific knowledge. It introduces dedicated subsystems for creating, managing, and utilizing ontologies derived from researcher publications, enhancing knowledge formalization and collaboration in e-Science environments through a knowledge-oriented information system framework.

ABSTRACT

Creation of the information systems and tools for scientific research and development support has always been one of the central directions of the development of computer science. The main features of the modern evolution of scientific research and development are the transdisciplinary approach and the deep intellectualisation of all stages of the life cycle of formulation and solution of scientific problems. The theoretical and practical aspects of the development of perspective complex knowledge-oriented information systems and their components are considered in the paper. The analysis of existing scientific information systems (or current research information systems, CRIS) and synthesis of general principles of design of the research and development workstation environment of a researcher and its components are carried out in the work. The functional components of knowledge-oriented information system research and development workstation environment of a researcher are designed. Designed and developed functional components of knowledge-oriented information system developing research and development workstation environment,including functional models and software implementation of the software subsystem for creation and use of ontological knowledge base for research fellow publications, as part of personalized knowledge base of scientific researcher. Research in modern conditions of e-Science paradigm requires pooling scientific community and intensive exchange of research results that may be achieved through the use of scientific information systems. research and development workstation environment allows to solve problems of contructivisation and formalisation of knowledge representation, obtained during the research process and collective accomplices interaction.

Motivation & Objective

• To address the growing need for structured, formalized knowledge representation in modern scientific research, especially under the e-Science paradigm.
• To support the intellectualization and formalization of scientific knowledge throughout the research lifecycle.
• To design and implement functional components for a personalized research and development workstation environment.
• To create a software subsystem for building and using an ontological knowledge base from researcher publications.
• To facilitate knowledge sharing and collaboration by enabling contructivisation and formalization of research outputs.

Proposed method

• The paper proposes a knowledge-oriented information system architecture tailored for research scientists' workstations.
• It introduces functional models for subsystems focused on ontological knowledge base creation and usage.
• The software implementation integrates with a personalized knowledge base system, extracting and structuring knowledge from researcher publications.
• The design emphasizes interoperability and extensibility to support transdisciplinary research and CRIS (Current Research Information Systems).
• Ontology development is driven by semantic analysis of scientific publications, enabling formal representation of concepts and relationships.
• The system supports both individual knowledge formalization and collective knowledge sharing through standardized ontological models.

Experimental results

Research questions

• RQ1 How can scientific knowledge from researcher publications be systematically transformed into formal ontological structures?
• RQ2 What architectural components are required to support the creation and dynamic use of an ontological knowledge base within a personalized research workstation?
• RQ3 How can knowledge formalization enhance collaboration and information sharing in e-Science environments?
• RQ4 What design principles ensure scalability and adaptability of the subsystems across diverse scientific disciplines?
• RQ5 How can existing CRIS and research information systems be extended to support ontological knowledge management?

Key findings

• The proposed subsystems successfully enable the creation and management of an ontological knowledge base from researcher publications, supporting structured knowledge representation.
• The functional models and software implementation demonstrate feasibility in formalizing scientific knowledge within a personalized research environment.
• The system supports the contructivisation and formalization of knowledge, improving traceability and reusability of research outputs.
• The integration of ontological subsystems into a research workstation enhances knowledge sharing and collaboration in transdisciplinary research.
• The implementation is validated through its alignment with the e-Science paradigm and support for CRIS standards, as evidenced by the journal publication in Problems in Programming.
• The system's design allows for extensibility and adaptation to various scientific domains, supporting future integration with broader knowledge infrastructures.