Cognitive fit between conceptual schemas and internal problem representations: The case of geospatio-temporal conceptual schema comprehension

Geospatio-temporal conceptual models provide a mechanism to explicitly represent geospatial and temporal aspects of applications. Such models, which focus on both what and when/where, need to be more expressive than conventional conceptual models (e.g., the ER model), which primarily focus on what is important for a given application. In this study, we view conceptual schema comprehension of geospatio-temporal data semantics in terms of matching the external problem representation (that is, the conceptual schema) to the problem-solving task (that is, syntactic and semantic comprehension tasks), an argument based on the theory of cognitive fit. Our theory suggests that an external problem representation that matches the problem solver's internal task representation will enhance performance, for example, in comprehending such schemas. To assess performance on geospatio-temporal schema comprehension tasks, we conducted a laboratory experiment using two semantically identical conceptual schemas, one of which mapped closely to the internal task representation while the other did not. As expected, we found that the geospatio-temporal conceptual schema that corresponded to the internal representation of the task enhanced the accuracy of schema comprehension; comprehension time was equivalent for both. Cognitive fit between the internal representation of the task and conceptual schemas with geospatio-temporal annotations was, therefore, manifested in accuracy of schema comprehension and not in time for problem solution. Our findings suggest that the annotated schemas facilitate understanding of data semantics represented on the schema.

Understanding conceptual schemas: exploring the role of application and IS domain knowledge

Although information systems (IS) problem solving involves knowledge of both the IS and application domains, little attention has been paid to the role of application domain knowledge. In this study, which is set in the context of conceptual modeling, we examine the effects of both IS and application domain knowledge on different types of schema understanding tasks: syntactic and semantic comprehension tasks and schema-based problem-solving tasks. Our thesis was that while IS domain knowledge is important in solving all such tasks, the role of application domain knowledge is contingent upon the type of understanding task under investigation. We use the theory of cognitive fit to establish theoretical differences in the role of application domain knowledge among the different types of schema understanding tasks. We hypothesize that application domain knowledge does not influence the solution of syntactic and semantic comprehension tasks for which cognitive fit exists, but does influence the solution of schema-based problem-solving tasks for which cognitive fit does not exist. To assess performance on different types of conceptual schema understanding tasks, we conducted a laboratory experiment in which participants with high- and low-IS domain knowledge responded to two equivalent conceptual schemas that represented high and low levels of application knowledge (familiar and unfamiliar application domains). As expected, we found that IS domain knowledge is important in the solution of all types of conceptual schema understanding tasks in both familiar and unfamiliar applications domains, and that the effect of application domain knowledge is contingent on task type. Our findings for the EER model were similar to those for the ER model. Given the differential effects of application domain knowledge on different types of tasks, this study highlights the importance of considering more than one application domain in designing future studies on conceptual modeling.

Should optional properties be used in conceptual modelling? A theory and three empirical tests

An important feature of some conceptual modelling grammars is the features they provide to allow database designers to show real-world things may or may not possess a particular attribute or relationship. In the entity-relationship model, for example, the fact that a thing may not possess an attribute can be represented by using a special symbol to indicate that the attribute is optional. Similarly, the fact that a thing may or may not be involved in a relationship can be represented by showing the minimum cardinality of the relationship as zero. Whether these practices should be followed, however, is a contentious issue. An alternative approach is to eliminate optional attributes and relationships from conceptual schema diagrams by using subtypes that have only mandatory attributes and relationships. In this paper, we first present a theory that led us to predict that optional attributes and relationships should be used in conceptual schema diagrams only when users of the diagrams require a surface-level understanding of the domain being represented by the diagrams. When users require a deep-level understanding, however, optional attributes and relationships should not be used because they undermine users' abilities to grasp important domain semantics. We describe three experiments which we then undertook to test our predictions. The results of the experiments support our predictions.

Representing part-whole relationships in conceptual modeling: An empirical evaluation

The part-of or part-whole construct is a fundamental element of many conceptual modeling grammars that is used to associate one thing (a component) with another thing (a composite). Substantive theoretical issues surrounding the part-whole construct remain to be resolved, however. For instance, contrary to widespread claims, the relationship between components and composites is not always transitive. Moreover, how the partwhole construct should be represented in a conceptual schema diagram remains a contentious issue. Some analysts argue composites should be represented as a relationship or association. Others argue they should be represented as an entity. In this paper we use an ontological theory to support our arguments that composites should be represented as entities and not relationships or associations. We also describe an experiment that we undertook to test whether representing composites as relationships or entities enables users to understand a domain better. Our results support our arguments that using entities to represent composites enables users to better understand a domain.

Conditions and practices in the commercialisation of innovations in wood industry

The report 'Conditions and practices in the commercialisation of innovation in wood industry' has been written as a part of the Wood Academy project. The report analyses the commercialisation conditions and practices of wood industry by utilising product categorisation based on a conceptual schema which combines the aspects of the transfer of the procession of utility and the degree of form/service utility (or value-added) created or provided by the company. Open innovation approaches help to perceive the possible new product and service innovations as well as the new business models and earning logics in the industry. The report also contains brief company cases to demonstrate theory-to-practice and showcase company examples from successful Finnish companies.

La faiblesse de volonté : conceptions classiques et dynamiques

La présente thèse expose, analyse et critique les positions classiques et modernes à l’égard de la nature et des causes de la faiblesse de volonté. L’identification du problème par Platon et Aristote a donné lieu à l’explicitation de principes et propositions portant sur la rationalité pratique en général et la motivation en particulier. Une discussion de ces principes et propositions est faite dans la mesure où ils ont conservé une certaine pertinence pour les théories modernes. Ce qui est devenu la conception standard de la stricte akrasie ainsi que son caractère prétendument paradoxal sont mis de l’avant. Nous argumentons qu’une position sceptique à l’égard de la stricte akrasie ne peut pas reposer sur une version ou une autre de la théorie des préférences révélées et montrons qu’une description du processus décisionnel est nécessaire pour attribuer une préférence synthétique ou un meilleur jugement. Nous abordons le débat philosophique qui oppose une conception internaliste du lien entre le meilleur jugement et la décision à une conception externaliste, et soutenons, sur la base de résultats expérimentaux en psychologie cognitive et en neuroscience, que cette dernière conception est plus robuste, bien qu’imparfaite. Ces résultats ne vont pas toutefois à l’encontre de l’hypothèse que les agents sont des maximisateurs dans la satisfaction de leur préférence, laquelle hypothèse continue de justifier une forme de scepticisme à l’égard de la stricte akrasie. Nous exposons, par contre, des arguments solides à l’encontre de cette hypothèse et montrons pourquoi la maximisation n’est pas nécessairement requise pour le choix rationnel et que nous devons, par conséquent, réviser la conception standard de la stricte akrasie. Nous discutons de l’influente théorie de Richard Holton sur la faiblesse de volonté non strictement akratique. Bien que compatible avec une conception non maximisante, sa théorie réduit trop les épisodes de faiblesse de volonté à des cas d’irrésolution. Nous exposons finalement la théorie du choix intertemporel. Cette théorie est plus puissante parce qu’elle décrit et explique, à partir d’un même schème conceptuel, autant la stricte akrasie que l’akrasie tout court. Ce schème concerne les propriétés des distributions temporelles des conséquences des décisions akratiques et les attitudes prospectives qui motivent les agents à les prendre. La structure de ces distributions, couplée à la dévaluation à l’égard du futur, permet également d’expliquer de manière simple et élégante pourquoi la faiblesse de volonté est irrationnelle. Nous discutons de l’hypothèse qu’une préférence temporelle pure est à la source d’une telle dévaluation et mentionnons quelques éléments critiques et hypothèses concurrentes plus conformes à une approche cognitiviste du problème.

DEMO models based automatic workflow process generation

Nowadays, more than half of the computer development projects fail to meet the final users' expectations. One of the main causes is insufficient knowledge about the organization of the enterprise to be supported by the respective information system. The DEMO methodology (Design and Engineering Methodology for Organizations) has been proved as a well-defined method to specify, through models and diagrams, the essence of any organization at a high level of abstraction. However, this methodology is platform implementation independent, lacking the possibility of saving and propagating possible changes from the organization models to the implemented software, in a runtime environment. The Universal Enterprise Adaptive Object Model (UEAOM) is a conceptual schema being used as a basis for a wiki system, to allow the modeling of any organization, independent of its implementation, as well as the previously mentioned change propagation in a runtime environment. Based on DEMO and UEAOM, this project aims to develop efficient and standardized methods, to enable an automatic conversion of DEMO Ontological Models, based on UEAOM specification into BPMN (Business Process Model and Notation) models of processes, using clear semantics, without ambiguities, in order to facilitate the creation of processes, almost ready for being executed on workflow systems that support BPMN.

Criança, Infância e Teoria Histórico-Cultural: convite à reflexão

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelagem conceitual DILAM: princípios descritivos de arquivos, bibliotecas e museus para o recurso imagético digital

Pós-graduação em Ciência da Informação - FFC

O ensino da metodologia projetual no desenvolvimento de produtos de moda: um estudo de caso na Universidade Estadual de Londrina

Pós-graduação em Design - FAAC

Do general chemistry textbooks facilitate conceptual understanding?

Research in chemistry education has recognized the need for facilitating students' understanding of different concepts. In contrast, most general chemistry curricula and textbooks not only ignore the context in which science progresses but also emphasize rote learning and algorithmic strategies. A historical reconstruction of scientific progress shows that it inevitably leads to controversy and debate, which can arouse students' interest and thus facilitate understanding. The objective of this article is to review research related to the evaluation of general chemistry textbooks (based on history and philosophy of science, HPS) and suggest alternatives that can facilitate conceptual understanding.

New contributions to the analysis of poverty: methodological and conceptual challenges to understanding poverty from a gender perspective

Includes bibliography