Algumas contribuições da perspectiva filosófico-semiótica de Peirce para a análise de assunto

In the context of current scientific studies toward Information Science and Semiotics, this study highlights that Semiotics is relevant to the field, since that signs are interpreted in different ways by each person primarily when they arise from the interpretation of documental analysis, maintaining large amplitude and diversity. In this sense, Semiotics can furnish support for several areas since it focuses on elements which enable the understanding of the phenomena, in order to guide an adequate theory about the concerns pointed by research on information and knowledge organization. This study aims to present a theoretical reflection about the subject analysis from Peirce’s philosophical-semiotics approach. Thus, this study presents some relations and contributions of Semiotics on issues involving subject analysis as well as concepts of habit, experience, representation and types of signs generated in the process.

Sobre o pensamento de Peirce e a organização da informação e do conhecimento

Incomplete glimpses of the philosophy of Charles Peirce (1839-1914) can frequently be found in studies about Semiotics and Information Science. Therefore, we sought to discover the theoretical and applied interrelationships between knowledge and information organization and Peirce's Semiotics and Philosophy. The aim was to discover and evaluate the contributions of Peirce's Semiotics and Philosophy to the knowledge and information organization field. The method of this study was bibliographical research. The main results were: indexing process semiotic model, semiotic knowledge organization, interaction between documentary semiotics and documentary languages, kinds of inference to the indexing process, as well as the collaboration of Peirce's pragmatism to terminology theory. Finally, we listed issues for future research.

Problemática psicosocial y educacional de los niños marginados

The marginalized children’s psychosocial and educational issues, in this essay, are referred to the theoretical debate upon knowledge development and the possible solutions for those children.This issue will be addressed through the analysis of structures or forms of knowledge organization and from the necessary differentiation of social and individual cognitive development. Basedontheseobjectives, we will analyzethe classical theoriesrelated to cognitive developmentofdisadvantaged children, discussindividual andsocialcognitive developmentand, based on our empirical research, postulatean explanationforthese children’s cognitive development. Finally we will discuss and propose some educational solutions.

Política de indexação na catalogação de assunto em bibliotecas universitárias: a visão sociocognitiva da atuação profissional com protocolo verbal

The indexing policy must be represented by means of a philosophy that reflects the system's aims. One of the aspects concerning the indexing policy is relating to the data retrospective conversion. The general aim is to discuss and make a profound study on indexing policy guidelines and to analyze the elements to set up an indexing policy, that should direct the indexing procedures carried out in university libraries using the methodology of verbal protocol. The results demonstrate that the indexing policy serves as a support for the knowledge organization in the catalog, acting as a guide for the librarian when determining the subjects of the documents described in the records. It is concluded that the indexing only will be carried out in the university library during the documentary information treatment by means of a well determined policy.

Problemas éticos em representação do conhecimento: uma abordagem teórica

Considering that knowledge representation consists in a constant decision-making and that its products must be reliable, this paper highlights the existence of ethical problems in this context with undeniable damage to the user. Thefore, from a theorethical excerpt of the international literature regarding the ethical aspects involved in knowledge organization and representation, this study gets to the reflection of: a) the biases in knowledge representation; and b) non-neutrality of its processes, instruments and products, as subsidies to the outlining of possible ethical problems regarding the user as well as the role of information professional.

Epidemiological Models of Directly Transmitted Diseases: An Approach via Fuzzy Sets Theory

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Constant Pioneers: The Citation Frontiers of Indexing Theory in the ISKO International Proceedings

Presents a citation analysis of indexing research in the two Proceedings. Understanding that there are different traditions of research into indexing, we look for evidence of this in the citing and cited authors. Three areas of cited and citing authors surface, after applying Price's elitism analysis, each roughly corresponding to geographic distributions.

As Relações Públicas em contextos de internacionalização organizacional: um estudo de caso sobre a aquisição da Tilibra

The objective of this study is to demonstrate how Public Relations can deal with the issue of culture clash between companies undergoing mergers and acquisitions. Within this environment of organizational change, there is the question of human and social as well as the importance of the relationship with all the publics. The Public Relations professional should be part of the organization systems to inform and promote a culture present, and participated in the climates changes and its consequences within these environments

O processo de institucionalização sociocognitiva do domínio de Organização do Conhecimento a partir dos trabalhos científicos dos congressos da ISKO

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Produção científica em organização do conhecimento: uma análise de domínio via cocitações de autores

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Metrics for Association Rule Clustering Assessment

Issues related to association mining have received attention, especially the ones aiming to discover and facilitate the search for interesting patterns. A promising approach, in this context, is the application of clustering in the pre-processing step. In this paper, eleven metrics are proposed to provide an assessment procedure in order to support the evaluation of this kind of approach. To propose the metrics, a subjective evaluation was done. The metrics are important since they provide criteria to: (a) analyze the methodologies, (b) identify their positive and negative aspects, (c) carry out comparisons among them and, therefore, (d) help the users to select the most suitable solution for their problems. Besides, the metrics do the users think about aspects related to the problems and provide a flexible way to solve them. Some experiments were done in order to present how the metrics can be used and their usefulness.

A Dynamic Route Planning Prototype for Cognitive Cities

A software prototype for dynamic route planning in the travel industry for cognitive cities is presented in this paper. In contrast to existing tools, the prototype enhances the travel experience (i.e., sightseeing) by allowing additional flexibility to the user. The theoretical background of the paper strengthens the understanding of the introduced concepts (e.g., cognitive cities, fuzzy logic, graph databases) to comprehend the presented prototype. The prototype applies an instantiation and enhancement of the graph database Neo4j . For didactical reasons and to strengthen the understanding of this prototype a scenario, applied to route planning in the city of Bern (Switzerland) is shown in the paper.

An abstract machine based execution model for computer architecture design and efficient implementation of logic programs in parallel.

The term "Logic Programming" refers to a variety of computer languages and execution models which are based on the traditional concept of Symbolic Logic. The expressive power of these languages offers promise to be of great assistance in facing the programming challenges of present and future symbolic processing applications in Artificial Intelligence, Knowledge-based systems, and many other areas of computing. The sequential execution speed of logic programs has been greatly improved since the advent of the first interpreters. However, higher inference speeds are still required in order to meet the demands of applications such as those contemplated for next generation computer systems. The execution of logic programs in parallel is currently considered a promising strategy for attaining such inference speeds. Logic Programming in turn appears as a suitable programming paradigm for parallel architectures because of the many opportunities for parallel execution present in the implementation of logic programs. This dissertation presents an efficient parallel execution model for logic programs. The model is described from the source language level down to an "Abstract Machine" level suitable for direct implementation on existing parallel systems or for the design of special purpose parallel architectures. Few assumptions are made at the source language level and therefore the techniques developed and the general Abstract Machine design are applicable to a variety of logic (and also functional) languages. These techniques offer efficient solutions to several areas of parallel Logic Programming implementation previously considered problematic or a source of considerable overhead, such as the detection and handling of variable binding conflicts in AND-Parallelism, the specification of control and management of the execution tree, the treatment of distributed backtracking, and goal scheduling and memory management issues, etc. A parallel Abstract Machine design is offered, specifying data areas, operation, and a suitable instruction set. This design is based on extending to a parallel environment the techniques introduced by the Warren Abstract Machine, which have already made very fast and space efficient sequential systems a reality. Therefore, the model herein presented is capable of retaining sequential execution speed similar to that of high performance sequential systems, while extracting additional gains in speed by efficiently implementing parallel execution. These claims are supported by simulations of the Abstract Machine on sample programs.

A collaborative filtering approach to mitigate the new user cold start problem.

The new user cold start issue represents a serious problem in recommender systems as it can lead to the loss of new users who decide to stop using the system due to the lack of accuracy in the recommenda- tions received in that first stage in which they have not yet cast a significant number of votes with which to feed the recommender system?s collaborative filtering core. For this reason it is particularly important to design new similarity metrics which provide greater precision in the results offered to users who have cast few votes. This paper presents a new similarity measure perfected using optimization based on neu- ral learning, which exceeds the best results obtained with current metrics. The metric has been tested on the Netflix and Movielens databases, obtaining important improvements in the measures of accuracy, precision and recall when applied to new user cold start situations. The paper includes the mathematical formalization describing how to obtain the main quality measures of a recommender system using leave- one-out cross validation.

Obtaining contradiction measure on intuitionistic fuzzy sets from fuzzy connectives

In a previous paper, we proposed an axiomatic model for measuring self-contradiction in the framework of Atanassov fuzzy sets. This way, contradiction measures that are semicontinuous and completely semicontinuous, from both below and above, were defined. Although some examples were given, the problem of finding families of functions satisfying the different axioms remained open. The purpose of this paper is to construct some families of contradiction measures firstly using continuous t-norms and t-conorms, and secondly by means of strong negations. In both cases, we study the properties that they satisfy. These families are then classified according the different kinds of measures presented in the above paper.