scholarly journals Dialog with OPAC

2020 ◽  
pp. 23-36
Author(s):  
E. R. Sukiasyan
Keyword(s):  
Knowledge Base ◽  
Hierarchical Classification ◽  
Joint Analysis ◽  
Bibliographic Record ◽  
Dialogue System ◽  
Reference Information ◽  
Alphabetical Index ◽  
Card Catalog ◽  
The Right ◽  
Reference Apparatus

The author raises the issue of dialogue between the OPAC and the user. The card catalog had a reference apparatus system that guided the reader's work and assisted in the search process. If OPAC came to replace card catalogs, we have the right to consider dialogue a tool of any OPAC. It is proved that the card systematic catalog possessed cognitive, developing functions. However, this cannot be said about OPAC. It was expected that the OPAC would have the Knowledge Base in the form of an easy-to-view hierarchical classification schedules with an alphabetical index. But neither the dialogue nor the Knowledge Base of OPAC in the libraries of the country have. If at the input stage employees have some opportunities to clarify their decisions, then at the search stage the user is completely deprived of them. He formulates the request using his own “thesaurus”, which the program may not accept. The problems of equipping OPAC with reference information for the user, the general principles of working with OPAC are considered. The features of forming the heading of the bibliographic record are shown. The conclusion is made: questions of a thematic search in the OPAC have remained unresolved so far. The rights and possibilities of the user related to the work of OPAC are significantly limited. Many shortcomings could be resolved through dialogue. However, a situation has arisen in the country when potential participants in such a dialogue (system developers, cataloguers and bibliographers in libraries, OPAC’s users) do not meet each other for joint analysis of OPAC. Then, perhaps, the dialogue would appear in the catalog itself, where it is not today.

scholarly journals Imaging the Subsurface: How Different Visualizations of Cross-sections Affect the Sense of Uncertainty

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Ane Bang-Kittilsen ◽  
Terje Midtbø
Keyword(s):  
Cross Sections ◽  
Open Data ◽  
Question Mark ◽  
Reference Information ◽  
Geological Information ◽  
Crucial Information ◽  
Set Up ◽  
Web Experiment ◽  
The Right ◽  
Visualization Techniques

AbstractGeologists struggle to communicate the uncertainty that arise when mapping and interpreting the geological subsurface. Today, open data sharing policies make new value of geological information possible for a broader user group of non-experts. It is crucial to develop standard methods for visualizing uncertainty to increase the usability of geological information. In this study, a web experiment was set up to analyze whether and how different design choices influence the sense of uncertainty. Also, questions about the intuitiveness of symbols were asked. Two-hundred ten participants from different countries completed the experiment, both experts and non-experts in geology. Traditional visualization techniques in geology, like dashed lines, dotted lines and question mark, were tested. In addition, other visualizations were tested, such as hatched area and variations of symbol size, zoom levels and reference information. The results show that design choices have an impact on the participants’ assessment of uncertainty. The experts inquire about crucial information if it is not present. The results also suggest that when visualizing uncertainty, all the elements in the representation, and specifically the line and area symbols that delineate and colour the features, must work together to make the right impression.

Performance Benefits From Providing Assistance in Networks: Relationships That Generate Learning

2015 ◽  
Vol 44 (2) ◽  
pp. 412-444 ◽  
Author(s):  
Neha Parikh Shah ◽  
Rob Cross ◽  
Daniel Z. Levin
Keyword(s):  
Social Network ◽  
Problem Solving ◽  
Job Performance ◽  
Knowledge Base ◽  
Work Performance ◽  
Contextual Factors ◽  
Prosocial Motivation ◽  
Performance Effects ◽  
The Right

Social network scholarship emphasizes that receiving resources from others in a network can benefit an individual’s job performance. Yet this paradigm rarely considers the effects on the provider of assistance. Outside the networks literature, scholars have been increasingly attentive to factors that affect motivations to provide help (i.e., prosocial motivation). However, the performance effects associated with providing help have been mixed. We concentrate specifically upon assistance that has the potential to enhance the providers’ learning and knowledge base and, hence, their performance. Using a bounded-network survey in a large consulting firm, we show that providing problem-solving assistance to many others on task-related matters increases the provider’s own work performance. We then consider how this learning may be affected by other relational and contextual factors. In so doing, we shift the predominant network perspective that people accrue performance advantages from receiving assistance to show that such advantages also occur—under the right circumstances—from providing it.

Genomics and Population Health

2013 ◽  
pp. 240-248
Author(s):  
Chan Chee Khoon
Keyword(s):  
Adverse Effects ◽  
Knowledge Base ◽  
Population Health ◽  
State Of Health ◽  
General State ◽  
The Right ◽  
The Way

Imagine being able to find out how a drug will affect you before you take it... receiving a medication that is specifically tailored to treat your disease, while minimizing your risk of developing adverse effects. Although a person’s environment, diet, and general state of health can all influence how he or she responds to medicines, another important factor is genes. Pharmacogenetics is the study of how your genes affect the way your body responds to a medicine. Pharmacogenetics helps to determine what the right medicine is for you, based on your own genes.1 The Pharmacogenetics and Pharmacogenomics Knowledge Base http://www.pharmgkb.org/resources/education/phar-genetics.jsp.

A review on the evolvement trend of robotic interaction control

2016 ◽  
Vol 43 (5) ◽  
pp. 535-551 ◽  
Author(s):  
Ali Leylavi Shoushtari ◽  
Paolo Dario ◽  
Stefano Mazzoleni
Keyword(s):  
Hierarchical Classification ◽  
Control Algorithms ◽  
Content Type ◽  
Control Approach ◽  
Interaction Control ◽  
Pros And Cons ◽  
General Aspects ◽  
The Right ◽  
Theoretical Issues

Purpose Interaction plays a significant role in robotics and it is considered in all levels of hardware and software control design. Several models have been introduced and developed for controlling robotic interaction. This study aims to address and analyze the state-of-the-art on robotic interaction control by which it is revealed that both practical and theoretical issues have to be faced when designing a controller. Design/methodology/approach In this review, a critical analysis of the control algorithms developed for robotic interaction tasks is presented. A hierarchical classification of distributed control levels from general aspects to specific control algorithms is also illustrated. Hence, two main control paradigms are discussed together with control approaches and architectures. The challenges of each control approach are discussed and the relevant solutions are presented. Findings This review presents an evolvement trend of interaction control theories and technologies over time. In addition, it highlights the pros and cons of each control approaches with addressing how the flaws of one control approach were compensated by emerging another control methods. Originality/value This review provides the robotic controller designers to select the right architecture and accordingly design the appropriate control algorithm for any given interactive task and with respect to the technology implemented in robotic manipulator.

scholarly journals Architecture of network knowledge base of a complex military system

Radiotekhnika ◽  
2021 ◽  
pp. 80-92
Author(s):  
M. Yermoshyn ◽  
A. Poberezhnyi ◽  
O. Onopriyenko ◽  
M. Shuryha
Keyword(s):  
Organizational Structure ◽  
Knowledge Base ◽  
Network Model ◽  
Adjacency Matrix ◽  
Initial Conditions ◽  
Semantic Network ◽  
Joint Analysis ◽  
Specific Situation ◽  
Use Of Resources ◽  
The Matrix

The article examines the architecture of a networked knowledge base and the organizational structure of a complex military-purpose system, which is built when a group of troops (forces) is created and kept in a state where it is capable of solving the tasks assigned to it. This requires a deep study of issues not only of modern tactics regarding the preparation and conduct of hostilities, but also more complex issues of scientific substantiation of the architecture of a networked knowledge base and the structure of a complex military system with a networked knowledge base. The internal representation of knowledge in the knowledge base (formal programmatic and logical content) is advisable to implement in the form of an adjacency matrix, which displays the relationship and relationship between target settings; initial conditions; the resources of the grouping of troops (temporary, material, combat and quantitative composition), their costs and replenishment; rules for the use of resources and the choice of criteria for their distribution. The knowledge base synthesizes a mathematical network model for making decisions, which provides a change (correction) of the structure of target attitudes when replenishing the knowledge base. Tasks solved in the knowledge base: selection of vertices and relations when replenishing catalogs; making changes to the adjacency matrix in accordance with the identified or changed relationships between targets. A necessary element of the synthesis of a mathematical network model for making decisions on the preparation and conduct of hostilities is the construction of the structure of the target systems of the system for a specific situation. A feature of controlling the correctness of knowledge presented in the form of target attitudes is the need for a joint analysis of the entire set of target attitudes and initial conditions in their relationship. For this, the matrix of the relations of target attitudes and the matrix of the relations of initial conditions are combined. The control of the correctness of the knowledge base is carried out when replenishing the knowledge base, it includes: identification of contradictions in the structure of target attitudes when making changes to this structure; search and detection of contradictions in the graph of the semantic network according to available resources and time; checking the completeness of the graph of the mathematical network model; issuance of revealed contradictions to an expert and their elimination. A practical approach to building the architecture of a networked knowledge base and the organizational structure of a complex military system can be implemented during the substantiation of the components and elements of the system when creating a grouping of troops (forces).

scholarly journals MOLI: Smart Conversation Agent for Mobile Customer Service

Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 63 ◽  
Author(s):  
Guoguang Zhao ◽  
Jianyu Zhao ◽  
Yang Li ◽  
Christoph Alt ◽  
Robert Schwarzenberg ◽  
...  
Keyword(s):  
Knowledge Base ◽  
Customer Service ◽  
Question Type ◽  
Dialogue System ◽  
Customer Support ◽  
Matching Networks ◽  
Broad Variety ◽  
Slot Filling ◽  
Answer Ranking ◽  
Sequential Matching

Human agents in technical customer support provide users with instructional answers to solve a task that would otherwise require a lot of time, money, energy, physical costs. Developing a dialogue system in this domain is challenging due to the broad variety of user questions. Moreover, user questions are noisy (for example, spelling mistakes), redundant and have various natural language expressions. In this work, we introduce a conversational system, MOLI (the name of our dialogue system), to solve customer questions by providing instructional answers from a knowledge base. Our approach combines models for question type and intent category classification with slot filling and a back-end knowledge base for filtering and ranking answers, and uses a dialog framework to actively query the user for missing information. For answer-ranking we find that sequential matching networks and neural multi-perspective sentence similarity networks clearly outperform baseline models, achieving a 43% error reduction. The end-to-end P@1(Precision at top 1) of MOLI was 0.69 and the customers’ satisfaction was 0.73.

scholarly journals Concept learning through question framing in Pharmacology

2018 ◽  
Vol 7 (2) ◽  
pp. 319
Author(s):  
Syam Sreedharan ◽  
Hyma Vijayalekshmi ◽  
Dhanya S. Palappallil
Keyword(s):  
Social Sciences ◽  
Critical Thinking ◽  
Hierarchical Classification ◽  
Cross Sectional Study ◽  
Factual Knowledge ◽  
Cross Sectional ◽  
Medical College ◽  
The Social ◽  
The Right ◽  
Short Answer Questions

Background: Framing questions is a skill that requires expertise, knowledge, guidance and mentoring. It provides structure for deep learning, critical thinking and also promotes interaction and communication. Objective of this study is to analyze the question framing skills of fifth semester medical students on a ‘must know’ area in Pharmacology.Methods: A cross-sectional study was done in the Department of Pharmacology of a Government Medical College in Central Kerala. After briefing about the study, each of the participants was instructed to frame a question which were collected after 15 minutes. The data on different aspects of questions was analysed by Statistical Package for the Social Sciences 16.Results: Total 130 students, 79 females and 51 males participated in this study. 7 questions were incomplete and excluded from further analysis. From the rest 123 properly framed questions, 106(86.2%) were correct, 10(8.1%) were partially correct and 7(5.7%) incorrect with regards to the task assigned. In this study knowledge as well as application was tested in 50.4% questions, comprehension in 21.1% and application alone in 22.8%. The knowledge dimension tested was factual in 91(74%) and conceptual in 32(26%). Non-hierarchical classification showed 96(78%) convergent and 27(22%) divergent.Conclusions: In this study majority of the participants framed direct short answer questions which reflects factual knowledge indicating their lower-level cognition. Critical thinking and procurement of higher level cognition can be attained by directing them to frame the right question especially in medical education.

scholarly journals The Impact of Intelligent Interfaces on the Performance of Knowledge Base Systems

2016 ◽  
Vol 4 (2) ◽  
pp. 84
Author(s):  
Abid Thyab Al Ajeeli
Keyword(s):  
Knowledge Management ◽  
Knowledge Base ◽  
Knowledge Bases ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Knowledge Based ◽  
Experimental Systems ◽  
Knowledge Base Systems ◽  
The Right ◽  
The Impact

<div><p><em>Although Knowledge is recognized as a strategic force in organizations, knowledge creation and management is not simply the capture and storage of items of information. It requires the storage and processing of associations through which meaning can be derived from the information. Association can be represented in explicit and observable forms in a knowledge base. The paper discusses issues relating to design a better quality</em><em> interactive interface system for human to have a dialog with the knowledge management systems. At the same time, the paper investigates the ease of evaluation and implementation of a knowledge management system. It performs a major role in providing users with capabilities of dealing with underlying systems. Designing a good interface style using knowledge bases can have a profound effect on the nature of the dialog. </em></p><p><em> </em></p><p><em>Interfacing a knowledge base oriented system can be seen as a dialog between the knowledge base and the user. It plays a major role in providing users with capabilities that deal with underlying systems. Designing a good interface style can have a profound effect on the nature of the dialog. Design of a user interface involves determining approaches in which users interact with the knowledge-based system. The design process, can be complex and multifaceted, begins by identifying system users, through classification of them to understanding their characteristics. The study investigates the improvement of performance by performing an actual study of many experimental systems sufficient to provide judgments for taking the right decision.  Results confirm that a good interface has a great impact on the performance of knowledge management systems. </em></p></div>

scholarly journals The RAS Library for Natural Sciences through the eyes of cataloguers

2017 ◽  
pp. 33-43 ◽  
Author(s):  
Lidia Zykova ◽  
Elena Rozhkova ◽  
Alexander Sysoev ◽  
Elena Shmarova
Keyword(s):  
Quality Control ◽  
Organization Development ◽  
Natural Sciences ◽  
Information Resources ◽  
Bibliographic Record ◽  
Reference Information

Key functions of the RAS Library for Natural Sciences are highlighted. The processes of catalog organization, development and update using BIBLIOBUS AILS are examined. Basic requirements to bibliographic record technology are discussed. The authors conclude that cataloguers need to access to reconciled cumulative reference information resources to consolidate the catalog and to ensure its reliable quality control.

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