Supporting Electronic Collaboration in Conceptual Modeling

2010 ◽  
pp. 199-211
Author(s):  
Peter Rittgen
Keyword(s):  
Conceptual Models ◽  
Conceptual Modeling ◽  
Negotiation Process ◽  
Distributed Development ◽  
Collaborative Modeling ◽  
Electronic Collaboration ◽  
The Social

The authors study collaborative modeling by analyzing conversations and loud thinking during modeling sessions and the resulting models themselves. They identify the basic activities of the modeling teams on the social, pragmatic, semantic and syntactic levels and derive a schema for the pragmatic level. The authors’ main conclusion is that team-based modeling is largely a negotiation process. Drawing on these results the authors derive an architecture of a system that supports the distributed development of conceptual models.

scholarly journals Current Problems of the Public Regulation of Labor Market in Ukraine

2017 ◽  
pp. 90-96
Author(s):  
О. V. Аkilinа
Keyword(s):  
Labor Market ◽  
Public Administration ◽  
Social Insurance ◽  
Labor Relations ◽  
Negotiation Process ◽  
Qualitative Assessment ◽  
Employment Policy ◽  
The Public ◽  
The Social ◽  
Legislative Reforms

The article is devoted to changes of some legislative acts of reform public administration in employment. Analysis and qualitative assessment of the Draft Law of Ukraine “On Amending Certain Legislative Acts of Ukraine to reform of public administration in the employment and social insurance in case unemployment” has been done in the work. The author considers that in developing of legislative reforms in employment necessary to expand the list of sources of funding for implementing public policy through gradual attracting resources of separate trust funds for the implementation of employment policy. It is necessary to create mechanism for attracting funds from private foundations and differentiate the expenditure of the Fund of Compulsory public social insurance Ukraine in case of unemployment with the allocation of urban and rural units. Implementation of these reforms requires pre reforming of social insurance in case unemployment. In addition greater attention should be paid to the development of methodology measures to facilitate employment and assessment of their effectiveness in the short and long terms. Voucher systems can be effectively introduced to the labor market once the labor market actors (local employment offices, education institutions and private sector) interact and the potential users are prepared to accept them (have the required awareness and stimuli). Transfer of voucher systems is possible, but the introduction won’t be effective without well proven practices and due account to the available resources. Also, the problem of building social dialog should not be overlooked when elaborating regulatory reforms in the employment. Ways to enhance the effectiveness of social dialogue and activate the positions of all the entities involved in the negotiation process need to be found, in order to preserve the development prospects for the already existing system of social and labor relations, although not quite acceptable for a major part of the Ukrainian community. The social stability in Ukraine is largely dependent on the quality and controllability of the mechanisms underlying the social and labor relations system, and on the capacity of its actors.

The REA Pattern, Knowledge Structures, and Conceptual Modeling Performance

2005 ◽  
Vol 19 (2) ◽  
pp. 57-77 ◽  
Author(s):  
Gregory J. Gerard
Keyword(s):  
Domain Knowledge ◽  
Conceptual Models ◽  
Conceptual Modeling ◽  
Knowledge Structure ◽  
Specific Pattern ◽  
Accounting Information Systems ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Business Setting ◽  
Structured Knowledge

Most database textbooks on conceptual modeling do not cover domainspecific patterns. The texts emphasize notation, apparently assuming that notation enables individuals to correctly model domain-specific knowledge acquired from experience. However, the domain knowledge acquired may not aid in the construction of conceptual models if it is not structured to support conceptual modeling. This study uses the Resources Events Agents (REA) pattern as an example of a domain-specific pattern that can be encoded as a knowledge structure for conceptual modeling of accounting information systems (AIS), and tests its effects on the accuracy of conceptual modeling in a familiar business setting. Fifty-three undergraduate and forty-six graduate students completed recall tasks designed to measure REA knowledge structure. The accuracy of participants' conceptual models was positively related to REA knowledge structure. Results suggest it is insufficient to know only conceptual modeling notation because structured knowledge of domain-specific patterns reduces design errors.

Using Ontology Languages for Conceptual Modeling

2012 ◽  
pp. 1-28
Author(s):  
Palash Bera ◽  
Anna Krasnoperova ◽  
Yair Wand
Keyword(s):  
Conceptual Models ◽  
Conceptual Modeling ◽  
Systems Development ◽  
Information Systems Development ◽  
Semantic Relationships ◽  
Support Domain ◽  
Domain Semantics ◽  
Ontology Languages ◽  
Conceptual Modeling Grammar ◽  
Precise Representation

Conceptual models are used to support understanding of and communication about application domains in information systems development. Such models are created using modeling grammars (usually employing graphic representation). To be effective, a grammar should support precise representation of domain concepts and their relationships. Ontology languages such as OWL emerged to define terminologies to support information sharing on the Web. These languages have features that enable representation of semantic relationships among domain concepts and of domain rules, not readily possible with extant conceptual modeling techniques. However, the emphasis in ontology languages has been on formalization and being computer-readable, not on how they can be used to convey domain semantics. Hence, it is unclear how they can be used as conceptual modeling grammars. We suggest using philosophically based ontological principles to guide the use of OWL as a conceptual modeling grammar. The paper presents specific guidelines for creating conceptual models in OWL and demonstrates, via example, the application of the guidelines to creating representations of domain phenomena. To test the effectiveness of the guidelines we conducted an empirical study comparing how well diagrams created with the guidelines support domain understanding in comparison to diagrams created without the guidelines. The results indicate that diagrams created with the guidelines led to better domain understanding of participants.

Exploring The Complexity Of Classroom Tasks For Language Learning

2008 ◽  
Vol 80 ◽  
pp. 42-47
Author(s):  
Kris Van den Branden
Keyword(s):  
Language Learning ◽  
Language Learners ◽  
Language Proficiency ◽  
Task Complexity ◽  
Real Life ◽  
Negotiation Process ◽  
Shared Knowledge ◽  
Multiple Dimensions ◽  
The Social ◽  
Dependent Variables

In task-based language teaching (TBLT), defining and manipulating the complexity of language tasks has been claimed to be of crucial importance, in view of sequencing tasks in a task-based syllabus, manipulating tasks to meet specific learners' needs, and assessing language learners' current level of language proficiency. The theoretical literature and empirical research on task complexity has recendy expanded, but much of this work fails to take into account the multiple dimensions that affect task complexity. For one, in authentic, truly functional task performance, key features of the social setting in which tasks are performed, and interlocutor-dependent variables (such as their shared knowledge and experiences) influence actual task complexity. Since in real life interlocutors reinterpret tasks to suit their own needs, motivations and purposes, and dynamically tune the complexity of their performance to the ongoing conversation and negotiation process, predictions about task complexity cannot be as accurate as some applied linguists claim they should be.

Using Ontology Languages for Conceptual Modeling

2010 ◽  
Vol 21 (1) ◽  
pp. 1-28 ◽  
Author(s):  
Palash Bera ◽  
Anna Krasnoperova ◽  
Yair Wand
Keyword(s):  
Conceptual Models ◽  
Conceptual Modeling ◽  
Information Systems Development ◽  
Semantic Relationships ◽  
Modeling Techniques ◽  
Support Domain ◽  
Domain Semantics ◽  
Ontology Languages ◽  
Conceptual Modeling Grammar ◽  
Precise Representation

Conceptual models are used to support understanding of and communication about application domains in information systems development. Such models are created using modeling grammars (usually employing graphic representation). To be effective, a grammar should support precise representation of domain concepts and their relationships. Ontology languages such as OWL emerged to define terminologies to support information sharing on the Web. These languages have features that enable representation of semantic relationships among domain concepts and of domain rules, not readily possible with extant conceptual modeling techniques. However, the emphasis in ontology languages has been on formalization and being computer-readable, not on how they can be used to convey domain semantics. Hence, it is unclear how they can be used as conceptual modeling grammars. We suggest using philosophically based ontological principles to guide the use of OWL as a conceptual modeling grammar. The paper presents specific guidelines for creating conceptual models in OWL and demonstrates, via example, the application of the guidelines to creating representations of domain phenomena. To test the effectiveness of the guidelines we conducted an empirical study comparing how well diagrams created with the guidelines support domain understanding in comparison to diagrams created without the guidelines. The results indicate that diagrams created with the guidelines led to better domain understanding of participants.

CONCEPTUAL BLENDING IN METAPHORS IN THE 2016 PRE-ELECTION CAMPAIGN

2019 ◽  
Vol 7 (6) ◽  
pp. 281-285
Author(s):  
Alzira Akhsianovna Minikeeva ◽  
Aida Gumerovna Sadykova ◽  
Edward Lazzerini
Keyword(s):  
Quantitative Analysis ◽  
Conceptual Models ◽  
Social World ◽  
The Other ◽  
Election Campaign ◽  
Conceptual Blending ◽  
Donald Trump ◽  
Conceptual Integration ◽  
The Social ◽  
Teachers And Students

Purpose: The article examines metaphor as transferring features of the social world onto the other elements of reality, the 2016 pre-election campaign in particular; the theory of conceptual integration of J. Fauconnier and M. Turner is used to analyzing the metaphor. Methodology: As a material of the research, there were examined transcripts of the 2016 pre-election campaign debates for the presidential position of Donald Trump and Hilary Clinton. Result: The analysis reveals convergent and divergent features of metaphor in the pre-election campaign of Donald Trump and Hilary Clinton. Metaphor in D. Trump’s texts tends to focus on conceptual models ‘we’ and ‘they’ which is deduced with the help of quantitative analysis whereas in H. Clinton’s texts ‘divided nation’ model is mostly described through metaphor. Applications: This research can be used for universities, teachers, and students. Novelty/Originality: In this research, the model of Conceptual Blending in Metaphors in the 2016 Pre-Election Campaign is presented in a comprehensive and complete manner.

scholarly journals Education as factor of social modernization.

Osvitolohiya ◽  
2017 ◽  
pp. 52-58
Author(s):  
Oleg Rafalsky ◽  
Keyword(s):  
Social Development ◽  
Educational System ◽  
Conceptual Models ◽  
Historical Context ◽  
The Other ◽  
Effective Characteristics ◽  
National Education ◽  
The Social ◽  
Social Modernization ◽  
Educational Paradigm

The effectiveness of education is determined by the level of preparation of an individual to make the productive effects in order to provide personal and social development. In a great scheme of things, each educational system is designed to create the conditions for successful adaptation of an individual to the social and cultural realities of the society of a specific historical context. The worldview basis of the development of education turn out to be convincing, thus, the educational paradigm will acquire the effective characteristics, if it makes allowances for and uses professionally mutually potential action of the shaping factors of the development of education in particular and society in general. Each national educational system has to make allowances for the realistic resource limits of a country. If different conceptual models of education are based on different priorities for functioning and development of education, it proves either one thing or the other: either the lack of knowledge about the specific historical realities and perspectives of its society, or the intentions to make a tool for the satisfaction of other needs of the national education.

Effects of Domain Familiarity on Conceptual Modeling Performance

2017 ◽  
Vol 28 (2) ◽  
pp. 27-55 ◽  
Author(s):  
Jihae Suh ◽  
Jinsoo Park
Keyword(s):  
Information Systems ◽  
Conceptual Model ◽  
Conceptual Models ◽  
Conceptual Modeling ◽  
Experimental Methodology ◽  
Information Systems Development ◽  
Theoretical Contribution ◽  
Semantics And Pragmatics ◽  
Domain Familiarity ◽  
User Knowledge

Conceptual modeling is currently considered a significant phase in information systems development. Several modeling grammars and methods have been studied extensively in the information systems discipline. However, previous research on conceptual models has focused on certain grammar (syntax) or discovering a way to deliver the meaning of a model (semantic) more clearly and completely. With regard to the construct overload issue in conceptual modeling, past studies have had some deficiencies in research methods and even presented contradicting results. The objective of the present study is twofold. First, the authors researched the interaction effect among syntax, semantics, and pragmatics to discover the preferred design, context, and user knowledge with which models are more likely to be understood or interpreted. Second, they performed an experiment to reconcile conflicting outcomes and acquire a more complete and accurate understanding of construct overload. Specifically, the authors focused on understanding the end users' modeling performance between ontologically clear and unclear models. They applied an improved experimental methodology that integrates three features (i.e., syntax, semantic, pragmatic) rather than treat them individually and employs different degrees of domain familiarity in the conceptual model (i.e., familiar domain vs. unfamiliar domain). The result of this study will broaden the perspective on usability in the context of the conceptual model and may serve as a modeler's ontological guidance in terms of whether or not to contain construct overload when they create a model. In addition, this study makes the theoretical contribution by verifying the domain extensibility towards the theory of ontological clarity.

Conceptual Modeling for Data Warehouse and OLAP Applications

2011 ◽  
pp. 293-300
Author(s):  
Elzbieta Malinowski ◽  
Esteban Zimányi
Keyword(s):  
Data Warehouse ◽  
Conceptual Models ◽  
Conceptual Modeling ◽  
Relational Model ◽  
Data Warehouses ◽  
Logical Models ◽  
Levels Of Detail ◽  
On Line ◽  
State Of Affairs ◽  
Research Stage

The advantages of using conceptual models for database design are well known. In particular, they facilitate the communication between users and designers since they do not require the knowledge of specific features of the underlying implementation platform. Further, schemas developed using conceptual models can be mapped to different logical models, such as the relational, objectrelational, or object-oriented models, thus simplifying technological changes. Finally, the logical model is translated into a physical one according to the underlying implementation platform. Nevertheless, the domain of conceptual modeling for data warehouse applications is still at a research stage. The current state of affairs is that logical models are used for designing data warehouses, i.e., using star and snowflake schemas in the relational model. These schemas provide a multidimensional view of data where measures (e.g., quantity of products sold) are analyzed from different perspectives or dimensions (e.g., by product) and at different levels of detail with the help of hierarchies. On-line analytical processing (OLAP) systems allow users to perform automatic aggregations of measures while traversing hierarchies: the roll-up operation transforms detailed measures into aggregated values (e.g., daily into monthly sales) while the drill-down operation does the contrary. Star and snowflake schemas have several disadvantages, such as the inclusion of implementation details and the inadequacy of representing different kinds of hierarchies existing in real-world applications. In order to facilitate users to express their analysis needs, it is necessary to represent data requirements for data warehouses at the conceptual level. A conceptual multidimensional model should provide a graphical support (Rizzi, 2007) and allow representing facts, measures, dimensions, and different kinds of hierarchies.

Development of Data Warehouse Conceptual Models

2011 ◽  
pp. 1-23
Author(s):  
Laila Niedrite ◽  
Maris Solodovnikova Treimanis ◽  
Liga Grundmane
Keyword(s):  
Data Warehouse ◽  
Conceptual Models ◽  
Data Warehousing ◽  
Conceptual Modeling ◽  
Requirements Elicitation ◽  
Method Engineering ◽  
Data Warehouses ◽  
Engineering Approach ◽  
New Methods ◽  
Development Approach

There are many methods in the area of data warehousing to define requirements for the development of the most appropriate conceptual model of a data warehouse. There is no universal consensus about the best method, nor are there accepted standards for the conceptual modeling of data warehouses. Only few conceptual models have formally described methods how to get these models. Therefore, problems arise when in a particular data warehousing project, an appropriate development approach, and a corresponding method for the requirements elicitation, should be chosen and applied. Sometimes it is also necessary not only to use the existing methods, but also to provide new methods that are usable in particular development situations. It is necessary to represent these new methods formally, to ensure the appropriate usage of these methods in similar situations in the future. It is also necessary to define the contingency factors, which describe the situation where the method is usable.This chapter represents the usage of method engineering approach for the development of conceptual models of data warehouses. A set of contingency factors that determine the choice between the usage of an existing method and the necessity to develop a new one is defined. Three case studies are presented. Three new methods: userdriven, data-driven, and goal-driven are developed according to the situation in the particular projects and using the method engineering approach.

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