scholarly journals Analysis of approaches for identification the ontological model components of the searching system

2021 ◽  
Vol 6 (2(62)) ◽  
pp. 10-14
Author(s):  
Victoria Kostenko ◽  
Olga Bulgakova ◽  
Barbara Stelyuk
Keyword(s):  
Intelligent System ◽  
Subject Area ◽  
System Model ◽  
Search Process ◽  
Search System ◽  
Automated Processing ◽  
Ontological Model ◽  
Model Components ◽  
Functional Components

The object of research is the components of an intelligent system for searching information in electronic repositories of unstructured documents, which based on the ontologies of the subject area. One of the most problematic areas is the processing and analysis of information contained in electronic repositories of unstructured documents. There are considered the some possibilities of increasing the efficiency of information processing. In the course of the study, using the method in which ontologies comprise sets of terms presented in it. In addition, the ontological set also includes information about subject areas, areas of definitions, etc. There are obtained the sequence of defining the conceptual representation of an intelligent search system based on ontological components. There are presented the composition of the ontological system model. There are described the main functional components of the system for intelligent processing of information about electronic documents. The proposed approaches for identifying the component components of the ontological model of the search system have a lot of features. This is due to the fact that the search system model must have a set of properties: integrity, coherence, organization, integrability, mobility. Ontologies which representing the basic concepts of the domain in a format available for automated processing in the form of a hierarchy of classes and relationships between them allow automated processing. The using of ontologies in the role of an intermediary between the user and the search process, between the search process and the search system that can facilitate the solution of a number of complex and non-standard tasks of information retrieval (for example, the automation of the search process). It is possible to solve the problem of knowledge representation for displaying information relevant to user requests, as well as to solve the problems of filtering and classifying information. Compared to similar well-known search systems, this provides such advantages as creating a common terminology for software agents and users, protecting the information store from total overflow and errors, as well as solving the issue of information aging.

The role of robotics in additive manufacturing: review of the AM processes and introduction of an intelligent system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
J. Norberto Pires ◽  
Amin S. Azar ◽  
Filipe Nogueira ◽  
Carlos Ye Zhu ◽  
Ricardo Branco ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Computer Aided Design ◽  
Intelligent System ◽  
Material Selection ◽  
High Strength Steels ◽  
Industrial Applications ◽  
Layer By Layer ◽  
Content Type ◽  
Functional Components

Purpose Additive manufacturing (AM) is a rapidly evolving manufacturing process, which refers to a set of technologies that add materials layer-by-layer to create functional components. AM technologies have received an enormous attention from both academia and industry, and they are being successfully used in various applications, such as rapid prototyping, tooling, direct manufacturing and repair, among others. AM does not necessarily imply building parts, as it also refers to innovation in materials, system and part designs, novel combination of properties and interplay between systems and materials. The most exciting features of AM are related to the development of radically new systems and materials that can be used in advanced products with the aim of reducing costs, manufacturing difficulties, weight, waste and energy consumption. It is essential to develop an advanced production system that assists the user through the process, from the computer-aided design model to functional components. The challenges faced in the research and development and operational phase of producing those parts include requiring the capacity to simulate and observe the building process and, more importantly, being able to introduce the production changes in a real-time fashion. This paper aims to review the role of robotics in various AM technologies to underline its importance, followed by an introduction of a novel and intelligent system for directed energy deposition (DED) technology. Design/methodology/approach AM presents intrinsic advantages when compared to the conventional processes. Nevertheless, its industrial integration remains as a challenge due to equipment and process complexities. DED technologies are among the most sophisticated concepts that have the potential of transforming the current material processing practices. Findings The objective of this paper is identifying the fundamental features of an intelligent DED platform, capable of handling the science and operational aspects of the advanced AM applications. Consequently, we introduce and discuss a novel robotic AM system, designed for processing metals and alloys such as aluminium alloys, high-strength steels, stainless steels, titanium alloys, magnesium alloys, nickel-based superalloys and other metallic alloys for various applications. A few demonstrators are presented and briefly discussed, to present the usefulness of the introduced system and underlying concept. The main design objective of the presented intelligent robotic AM system is to implement a design-and-produce strategy. This means that the system should allow the user to focus on the knowledge-based tasks, e.g. the tasks of designing the part, material selection, simulating the deposition process and anticipating the metallurgical properties of the final part, as the rest would be handled automatically. Research limitations/implications This paper reviews a few AM technologies, where robotics is a central part of the process, such as vat photopolymerization, material jetting, binder jetting, material extrusion, powder bed fusion, DED and sheet lamination. This paper aims to influence the development of robot-based AM systems for industrial applications such as part production, automotive, medical, aerospace and defence sectors. Originality/value The presented intelligent system is an original development that is designed and built by the co-authors J. Norberto Pires, Amin S. Azar and Trayana Tankova.

scholarly journals Linguistic Ontologies: Designing and Using in the Educational Intellectual Systems

2021 ◽  
Vol 4 (1) ◽  
pp. 97-111
Author(s):  
Olha Tkachenko ◽  
Kostiantyn Tkachenko ◽  
Oleksandr Tkachenko
Keyword(s):  
Computer Networks ◽  
Intelligent Systems ◽  
Semantic Analysis ◽  
Intelligent System ◽  
Subject Area ◽  
Intellectual System ◽  
Proposed Model ◽  
Small Set ◽  
Ontological Model ◽  
Linguistic Ontology

The purpose of the article is to investigate and consider the general trends, problems and prospects of designing and using linguistic ontologies in educational intellectual systems. The research methodology consists in semantic analysis methods of the basic concepts in the considered subject area (linguistic ontologies in the educational intellectual systems). The article discusses approaches to the use of linguistic models in modern educational intelligent systems. The novelty of the research is the analysis of the linguistic ontologies use in the educational intellectual systems. Conclusions. A model of linguistic ontology for the domain (disciplines “Computer Networks” and “Modelling Systems”) is presented. This model is used in the development of an educational intellectual system that supports online learning in these disciplines. The proposed model describes a set of relations of linguistic ontology, specially selected to describe the analyzed domain. To ensure these properties, it was proposed to use a small set of relationships. The proposed linguistic ontological model is implemented in an educational intelligent system that supports such disciplines as “Computer Networks” and “Modelling Systems”.

The Central Role of Cognitive Computations in Human-Information Interaction

2018 ◽  
Author(s):  
Wai-Tat Fu ◽  
Jessie Chin ◽  
Q. Vera Liao
Keyword(s):  
Information Systems ◽  
Cognitive Science ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Levels Of Abstraction ◽  
Intelligent Information Systems ◽  
Emergent Behaviour ◽  
Information Interaction ◽  
Intelligent Information

Cognitive science is a science of intelligent systems. This chapter proposes that cognitive science can provide useful perspectives for research on technology-mediated human-information interaction (HII) when HII is cast as emergent behaviour of a coupled intelligent system. It starts with a review of a few foundational concepts related to cognitive computations and how they can be applied to understand the nature of HII. It discusses several important properties of a coupled cognitive system and their implication to designs of information systems. Finally, it covers how levels of abstraction have been useful for cognitive science, and how these levels can inform design of intelligent information systems that are more compatible with human cognitive computations.

On the role of the anthropocentric factor in the realization of the derivational potential of names of ungulates as motivating lexical units

2021 ◽  
pp. 191-210
Author(s):  
Nikolay D. Golev ◽  
◽  
Irina P. Falomkina ◽  
Keyword(s):  
Native Speakers ◽  
Russian Language ◽  
Search System ◽  
Proposed Model ◽  
Data Capturing ◽  
Building Behavior ◽  
Building System ◽  
Google Search ◽  
The Russian Language

The paper is dedicated to describing the word-building system of the Russian language in terms of its vocabulary. Lexical factors are discussed influencing the formation of lexical units’ potential as motivating units of word-building processes and relations and the realization of this potential in language activities. Of most interest for the authors are anthropocentric determinants, most of which are coordinating the lexical system and, through its mediation, the word-building system with the worldview of native speakers of the Russian language. The proposed model of derivational development of vocabulary provides such coordination through studying the deep-seated process of conceptualization of the words that are the potential motivators of neologisms. This study identifies the word frequency as an external manifestation of conceptualization. The frequency data were obtained from Google search system statistical data. Capturing not only usual but also occasional and potential words, this source is an effective tool for studying word-building processes and their results. This study has unveiled the interrelation between the language worldview of native speakers of Russian and their “word-building behavior” in language activities. The worldview has been found, first of all, to be determined by the pragmatic factor, which primarily influences the usage of a word in the speech reflected by its frequency. The frequency ranks lexical units due to their derivational potential and thereby provides a researcher with a reliable instrument for its study.

Mobile Learning to Support Computational Thinking in Initial Teacher Education

2021 ◽  
Vol 13 (1) ◽  
pp. 49-62
Author(s):  
Cornelia Connolly ◽  
Raquel Hijón-Neira ◽  
Seán Ó Grádaigh
Keyword(s):  
Teacher Education ◽  
Mobile Learning ◽  
Mobile Applications ◽  
Computational Thinking ◽  
Positive Influence ◽  
Subject Area ◽  
Initial Teacher Education ◽  
Quasi Experimental ◽  
The Subject

Research on the role of mobile learning in computational thinking is limited, and even more so in its use in initial teacher education. Aligned to this there is a need to consider how to introduce and expose pre-service teachers to computational thinking constructs within the context of the subject area they will teach in their future classrooms. This paper outlines a quasi-experimental study to examine the role of mobile learning in facilitating computational thinking development amongst pre-service teachers in initial teacher education. The study enquires if there are significant differences in grades achieved in computational thinking and programming learning when mobile learning is introduced. Findings showed and reaffirmed the positive influence of the mobile applications on the development of computational thinking amongst the pre-service teachers who participated.

Semantic Representation of a Geo-Social User Profile for a Personalised Information Retrieval

2021 ◽  
pp. 2150044
Author(s):  
Tahar Rafa ◽  
Samir Kechid
Keyword(s):  
Information Retrieval ◽  
Information Search ◽  
Semantic Representation ◽  
User Profile ◽  
Search Process ◽  
Search System ◽  
User Interactions ◽  
User Interests ◽  
Situational Contexts ◽  
User Query

The user-centred information retrieval needs to introduce semantics into the user modelling for a meaningful representation of user interests. The semantic representation of the user interests helps to improve the identification of the user’s future cognitive needs. In this paper, we present a semantic-based approach for a personalised information retrieval. This approach is based on the design and the exploitation of a user profile to represent the user and his interests. In this user profile, we combine an ontological semantics issued from WordNet ontology, and a personal semantics issued from the different user interactions with the search system and with his social and situational contexts of his previous searches. The personal semantics considers the co-occurrence relations between relevant components of the user profile as semantic links. The user profile is used to improve two important phases of the information search process: (i) expansion of the initial user query and (ii) adaptation of the search results to the user interests.

scholarly journals Role of Nutritive Factors in Infants Sleep Management

2021 ◽  
pp. 20-24
Author(s):  
Tatiana V. Turti ◽  
Irina A. Belyaeva ◽  
Elena P. Bombardirova ◽  
Pavel E. Sadchikov ◽  
Alexander Y. Nagonov
Keyword(s):  
Intestinal Microbiota ◽  
The Body ◽  
Individual Development ◽  
Factors Affecting ◽  
Sleep Management ◽  
Nocturnal Awakening ◽  
Sleep Schedule ◽  
Functional Components ◽  
Crucial Part

The organized infant’s sleep schedule is the crucial part of normal individual development. On the contrary, restless sleep, nocturnal awakening, long wakefulness can lead to deviations in physical, psychomotor, and cognitive development. Feeding schedule organized according to the time of a day and circadian rhythms (chrono-nutrition concept) can be useful for prevention and correction of such disorders. You are aware of the effect of such factors as feeding before night's sleep, nutrition at dark time of a day, diet enriched with triptophane and nucleotides, on the maturation and consolidation of infants sleep. The correlation between intestinal microbiota and factors affecting the circadian and metabolic activity of the body are presented: day-night cycles, sleep and wake, diet and nutrition. Targeted regulation of the intestinal microbiota through products enriched with functional components (prebiotics) can lead to the development of healthy sleep in infants via axis “brain – intestine – microbiota”.

scholarly journals Towards an Ontology of Representation

2021 ◽  
Author(s):  
Riichiro Mizoguchi ◽  
Stefano Borgo
Keyword(s):  
Natural Language ◽  
Proposed Model ◽  
Ontological Analysis ◽  
Ontological Model

In philosophy information is mainly discussed along with the notion of aboutness. In more practical communities, information is mainly addressed together with notions like data and knowledge. This paper proposes a different approach. We look at information (and related concepts) as roles played by representations. This view implies that the notion of representation is central for any ontological analysis of information and related concepts. The paper provides arguments for this new stand and discusses an ontological model of representation based on the systematic distinction between form and content. The broadness and flexibility of the proposed model is shown by discussing a list of variegated representation entities from music to procedure, from novel to painting. The paper also investigates the role of letters (characters) in natural language expressions, which turns out to be quite complex.

scholarly journals Dynamin is required for efficient cytomegalovirus maturation and envelopment

2018 ◽  
Author(s):  
Mohammad H. Hasan ◽  
Leslie E. Davis ◽  
Ratna K. Bollavarapu ◽  
Dipanwita Mitra ◽  
Rinkuben Parmar ◽  
...  
Keyword(s):  
Post Infection ◽  
Virus Entry ◽  
Cmv Infection ◽  
Viral Dna ◽  
Virus Maturation ◽  
Early Protein ◽  
Assembly Compartment ◽  
Functional Components ◽  
Endocytic Pathways

AbstractCytomegalovirus secondary envelopment occurs in a virus-induced cytoplasmic assembly compartment (vAC) generated via a drastic reorganization of the membranes of the secretory and endocytic systems. Dynamin is a eukaryotic GTPase that is implicated in membrane remodeling and endocytic membrane fission events; however, the role of dynamin in cellular trafficking of viruses beyond virus entry is only partially understood. Mouse embryonic fibroblasts (MEF) engineered to excise all three isoforms of dynamin were infected with mouse cytomegalovirus (MCMV-K181). Immediate early (IE1; m123) viral protein was detected in these triple dynamin knockout (TKO) cells as well as in mock-induced parental MEF at early times post infection although levels were reduced in TKO cells, indicating that virus entry was affected but not eliminated. Levels of IE1 protein and another viral early protein (m04) were normalized by 48 hours post infection; however, late protein (m55; gB) expression was significantly reduced in infected TKO cells compared to parental MEF. Ultrastructural analysis revealed intact stages of nuclear virus maturation in both cases with equivalent numbers of nucleocapsids containing packaged viral DNA (C-capsids) indicating successful viral DNA replication, capsid assembly and genome packaging. Most importantly, severe defects in virus envelopment were visualized in TKO cells but not in parental cells. Dynamin inhibitor (dynasore) treated MEF showed a phenotype similar to TKO cells upon MCMV infection confirming the role of dynamin in late maturation processes. In summary, dynamin-mediated endocytic pathways are critical for the completion of cytoplasmic stages of cytomegalovirus maturation.ImportanceViruses are known to exploit specific cellular functions at different stages of their life cycle in order to replicate, avoid immune recognition by the host and to establish a successful infection. Cytomegalovirus (CMV) infected cells are characterized by a prominent cytoplasmic inclusion (virus assembly compartment; vAC) that is the site of virus maturation and envelopment. While endocytic membranes are known to be the functional components of vAC, knowledge of specific endocytic pathways implicated in CMV maturation and envelopment is lacking. Here we show that dynamin, which is an integral part of host endocytic machinery, is largely dispensable for early stages of CMV infection but is required at a late stage of CMV maturation. Studies on dynamin function in CMV infection will help us understand the host-virus interaction pathways amenable to targeting by conventional small molecules as well as by newer generation nucleotide-based therapeutics (e.g. siRNA, CRISPR/CAS gRNA, etc.).

Sign in / Sign up

Export Citation Format

Share Document