SEMANTIC MODELING IN RESILIENCE RESEARCH OF ENERGY AND SOCIO-ECOLOGICAL SYSTEMS

В статье рассматриваются возможности применения семантического моделирования, включающего, в частности, онтологическое и когнитивное моделирование для поддержки совместных исследований энергетических и социо-экологических систем. Работа посвящена использованию онтологического инжиниринга для структурирования знаний предметных областей и когнитивного моделирования в исследованиях влияния функционирования энергетических объектов на природную среду и человека. Онтологическое моделирование используется для выявления, описания и согласования базовых понятий предметных областей исследований и позволяет систематизировать и наглядно представить взаимосвязи между элементами природной среды, объектами энергетики и их характеристиками, факторами воздействия и методами их расчета. Когнитивное моделирование используется для выявления структуры причинно-следственных связей между факторами, влияющими на устойчивость системы. The article discusses the possibilities of applying semantic modeling, including, in particular, ontological and cognitive modeling to support joint research of energy and socio-ecological systems. The work is devoted to the use of ontological engineering for structuring knowledge of subject areas and cognitive modeling in studies of the impact of the functioning of energy facilities on the natural environment and humans. Ontological modeling is used to identify, describe and coordinate the basic concepts of subject areas of research and allows you to systematize and visualize the relationship between elements of the natural environment, energy facilities and their characteristics, impact factors and methods of their calculation. Cognitive modeling is used to identify the structure of causal relationships between factors affecting the stability of the system.

A framework analysis approach of an indoor air quality sensor

Killing around 7 million people a year, air pollution is the biggest risk to environmental health in the world. In this paper, we explore the use of structuring knowledge representation in form of a framework approach for an indoor air quality sensor. Applying the main steps to be considered in defining an air quality framework, we discuss each one of them, followed by a particular implementation of the framework in terms of an ontology model to exposure to carbon monoxide and PM10.5 (two of the most encountered pollutants in home life).

From Acceptance Snapshots to the Social Acceptability Process: Structuring Knowledge on Attitudes Towards Water Reuse

Water reuse is considered a technologically viable option to meet the increasing demands of the domestic, industrial and agricultural sectors. Alongside challenges such as environmental health, infrastructure and regulations, water reuse is often hindered by lack of acceptance and dismissive attitudes. This paper seeks to structure knowledge about acceptance of water use. It provides a systematic look at the overall reuse challenges and social attitudes towards water reuse considering the three integrative elements of water reuse, namely the water source, the technology, and the end use. It first maps the challenges and common insights that constitute the enigma of water reuse acceptance. Later, it conceptualizes acceptance as a social process consisting of the interdependent components of public perception, politicization, individual acceptance, and use adaptation. Using this conceptual framework, solutions to increasing water acceptance stemming from different bodies of acceptance studies are reviewed. The paper reiterates the need for a nuanced view on water reuse acceptance that incorporates spatio-temporal considerations as well as knowledge from different disciplines.

ABOUT PROJECTIONS OFTHE MENTAL STRUCTURE INTO LANGUAGE AND SPEECH (on the example ofthe concept-proposition)

The author examines, using the example of a concept-proposition, multiple manifestations of the connection between a mental unit and units of a language system, argues that the principle of structuring knowledge, characteristic of a proposition, is found in the semantic structure of a sentence, a word-formation nest, in the logic of lexical metonymy, in the logic of transferring definitions, as well as in the ability of a noun to represent knowledge of a propositional nature in speech, concludes that there is a deep commonality of mental and linguistic activity. The semantic structure of the sentence and the structure of the syntactic proposition are isomorphic to the structure of the mental proposition. The vectors of the transfer of the definition from one term of the sentence to another, as well as to the designation of the entire situation, often have propositional logic and are closed by the framework of one sentence. Propositional logic is observed in many word-building nests, especially consistent with the structure of nests organized by a polyactant verb. Among the verbal derivatives in the nest, the percentage of lexemes that name the components of the corresponding situation is significant, in some cases - all the main components of the situation. At the lexico-semantic level, the projection of a proposition on the phenomenon of metonymy is described. Among the models of transference, a variety is highlighted, called propositional metonymy. It includes transfers of the name, the vectors of which (shift of the focus of attention) reflect the structure of the proposition. Another manifestation of the connection between a proposition and linguistic units, considered in the article, is the facts of using a single noun in speech of any lexical and grammatical semantics to represent all situations of any structural complexity. The realized perspective of the research (from the mental unit to linguistic units and processes that reveal with it a certain isomorphism in the logic of categorization and conceptualization of knowledge) allows us to reveal an important line of interaction between the mental and linguistic levels.

Olfactory Signs as Objects of Verbalization

Human sensory experience has a fundamental role in conceptualizing the realities of the sur-rounding world and representing them in linguistic constructions. When it comes to olfactory information available to people, a significant part of the linguistic material consists of describing smells with the view of their classification and their ontological and evaluative characteristics. Also, linguistic objectification of situations of cognizing olfactory signs has pronounced patterns, and, as a mental construct reflected in the mind, the olfactory situation in-cludes a number of obligatory and optional components. By means of frame analysis of German olfactory language, the article demonstrates the interaction of static and dynamic knowledge about olfactory perception. The result of this research is a conceptual framework that describes the principles of organizing information about smells. The author sees the clas-sification frame as a storage format for static data: it has a categorical structure and stores knowledge about various types of smells. Its slots are filled with specific information based on identifying real or background objects that are sources of smells, as well as on quantitative or normative evaluations given by the subject. Analyzing linguistic explications of the olfactory situation, which are representations of the situational frame, shows the presence of re-peated categorical components (categorical nodes) in the linguistic material. They are associ-ated with ontological categories of human existence. Among them are the subject and the object of cognition, the subject’s action, the space-time frame of the situation, the instrument of cognition, and the result. It is obvious that the presence of obligatory components in the utterance (subject, object, cognitive action) is due to the need of the author to describe the ontological specifics of the process of cognition of an olfactory sign. The objectification of optional components in the utterance depends on the goals of communication. The comparison of formats for storing knowledge about the olfactory sign makes it possible to explain the relationship between the classification and situational frames as an interaction between something general and something particular. The resulting findings contribute to current discussions of issues related to structuring knowledge and general categorization of reality by individuals.

A training module to empower marginalised Northern Borneo islanders for tuberculosis control

Empowering marginalised urban islanders with limited heatlh accessibility for controlling pulmonary tuberculosis (PTB) requires a specific training module. Developing a training module for knowledge transfer to empower these marginalised islanders in high PTB occurrence region can be adapted based on IMCI framework. Structuring knowledge and skills for PTB control is based on the National Strategic Plan for Tuberculosis Control 2016-2020 and the Integrated Management of Childhood Illness (IMCI) framework is adapted for developing the training module. A total of five knowledge and skills were structured: 1) PTB disease and diagnosis, 2) PTB treatment, 3) preventive PTB measures, 4) prevention of malnutrion, and 5) psychosocial discrimination. The IMCI framework was adapted in 3 ways: 1) identifying signs and symptoms of PTB, 2) emphasising 5 steps: assess, diagnose, treat, counsel and detect, as the integrated management, and 3) counseling on BCG immunisation, malnutrition, environmental modifications and stigma on PTB.

The service task of automotive troubleshooting process in collaborative environment using knowledge support approach

The automotive troubleshooting unfolds from the system phase to the multiple-domain phase. It is necessary that different field members, for example, system and domain engineers, cooperate tightly toward an integrated product service process. Therefore, the purpose of this research is to generate a knowledge management platform for the overall automotive troubleshooting service. Besides, general ontologies, automotive troubleshooting service ontology (ATSO), is also created as a helpful tool for the communication of heterogeneous systems. This proposed approach of automotive collaborative troubleshooting is explained with the corresponding meta-model. The main contribution of this research is to assure the traceability in both system and domain phases by structuring knowledge. Eventually, an application is illustrated in enhancing re-usability in the region of automotive braking system in collaborative environment.

An immune memory and negative selection to visualizing clinical pathways from electronic health record data

Clinical pathways indicate the applicable treatment order of interventions. In this paper we propose a data-driven methodology to extract common clinical pathways from patient-centric Electronic Health Record data (EHR). The analysis of patient's, can lead to better regarding pathologies. The proposed algorithmic methodology consist to designing a system of control and analysis of patient records based on an analogy between the elements of the new EHRs and the biological immune systems. The detection of patient profiles ensured by biclustering Matrix. We rely on biological immunity to develop a set of models for structuring knowledge extracted from EHR and to make pathway analysis decisions. A specific analysis of the functional data leds to the detection of several types of patients who share the same EHR information. This methodology demonstrates its ability to simultaneously processing data, and is able to providing information for understanding and identifying the path of patients as well as predicting the path of future patients.

An immune memory and negative selection to visualizing clinical pathways from electronic health record data

<p><span>Clinical pathways indicate the applicable treatment order of interventions. In this paper we propose a data-driven methodology to extract common clinical pathways from patient-centric Electronic Health Record data (EHR). The analysis of patient's, can lead to better regarding pathologies. The proposed algorithmic methodology consists to designing a system of control and analysis of patient records based on an analogy between the elements of the new EHRs and the biological immune systems. The detection of patient profiles ensured by biclustering Matrix. We rely on biological immunity to develop a set of models for structuring knowledge extracted from EHR and to make pathway analysis decisions. A specific analysis of the functional data leds to the detection of several types of patients who share the same EHR information. This methodology demonstrates its ability to simultaneously processing data, and is able to providing information for understanding and identifying the path of patients as well as predicting the path of future patients.</span></p>