Idag har blåljusaktörerna (räddningstjänsten, polismyndigheten och ambulanssjukvården) inte samma kartmaterial att arbeta efter. Detta innebär att de har olika kartbilder att jobba med. Detta skulle kunna lösas med hjälp av ett gemensamt kartstöd och en touch av metadata. Metadata är data om data och blir allt vanligare i datasammanhang. Då data blir mer och mer innehållsrikt och mer komplicerat blir vikten av metadata större. Metadata kan liknas vid en innehållsförteckning till ett examensarbete. Utan innehållsförteckning och rubriker skulle arbetet vara svårt att läsa igenom.  Metadata hjälper bl.a. till så vi kan dela datamängder men ser också till att data hålls uppdaterat. Data och geodata kan användas utan metadata men med den fås en beskrivning av hur aktuell data är, vilka rättigheter vi har att använda den o.s.v. Syftet med studien var att få fram det geodata och metadata som blåljusaktörerna har gemensamt i sin verksamhet. Detta för att underlätta framställandet av en gemensam blåljuskarta, så att aktörerna kan utföra sina uppdrag på ett så tidseffektivt sätt som möjligt. Genom intervjuer med de tre blåljusaktörerna fick vi reda på vilka data/geodata varje aktör har av intresse. Genom att jämföra aktörernas svar med varandra lyckades gemensamma geodata som cykelbanor och husnummer lokaliseras. Ur geodata kunde sedan metadata som, uppdatering, entrésida m.fl. extraheras.

Septima Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC 2017 - 7th Ibero-American Conference on Complexity, Informatics and Cybernetics, CICIC 2017; Orlando; United States; 21 March 2017 through 24 March 2017; Code 131437 / Adaptive learning systems constitute a new approach to e-learning systems, they allow adapting the content to the individual characteristics of students. Two of its main components are the domain model and the student model, whose key elements are the learning objects (OA) and learning style, respectively. LOs are digital educational content provided by the course while learning style will define how the student learns. Within this context the motivation of this study is to propose a partnership model for relating the LOs with student learning styles. After conducting a systematic review of previous work related a mathematical model of partnership LOs and learning styles by reference to their type of format and content type to determine which is associated LOs better student learning style is presented.

Orientador: Edberto Ferneda / Banca: Elvis Fusco / Banca: Walter Moreira / Banca: Ana Carolina Simionato / Banca: Rachel Cristina Vesu Alves / Resumo: Desde a sua criação, a Web tem crescido a um ritmo sem precedentes, situação esta que exigiu mudanças na forma como a sociedade busca e tem acesso à informação. O incremento informacional foi observado em todas as áreas do conhecimento e, desde então, problemas relacionados à recuperação de informação são investigados. No escopo dessa investigação, são pesquisados objetos de aprendizagem que estejam descritos, em um padrão de metadados educacional, e mantidos em repositórios específicos para este fim. Todos os problemas e dificuldades relacionados à recuperação de informação são refletidos no contexto particular dos objetos de aprendizagem. Devido à natureza (multimídia) dos objetos de aprendizagem, a complexidade em recuperá-los se torna mais perceptível. Nesta tese, propõe-se um modelo de arquitetura para recuperação de objetos de aprendizagem baseado em uma integração de tecnologias de sistemas de recuperação de informação, metadados, relevance feedback e agentes inteligentes. O propósito fundamental da arquitetura para recuperação de objetos de aprendizagem é unificar a representação desses recursos educacionais que são disponibilizados em diferentes repositórios e permitir que o usuário realize buscas qualificadas para localizar os objetos de aprendizagem mais adequados para sua necessidade de informação. Esta pesquisa é classificada como qualitativa e de natureza aplicada, uma vez que se relaciona com o problema prático de recuperação de objetos de aprendizagem disponív... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: The Web has been growing in a record speed since its creation and, therefore, such prospect has demanded changes in the way society seeks for and accesses information. Informational increment was evident in all fields of knowledge and since then, the relevant information retrieval issues have been investigated. In the scope of this investigation, we find researches in learning objects classified into an educational metadata pattern and kept in a specific repository. All the problems and complications related to such retrieval reflect in the learning objects particular context. The complexity in retrieving these learning objects becomes evident given their (multimedia) nature. Here, we suggest an architecture model to retrieve the aforementioned objects that is based on a combination of information retrieval system, metadata, relevance feedback, and intelligent agents. The main purpose of this architecture model is to unify the representation of these educational resources - that are available in a heterogeneous repository - and allow users to perform efficient searches in order to find the most suitable learning objects to their information needs. This is a qualitative and applied research once it relates to the practical problem of learning objects retrieval available on the Web. The main difference of this suggestion was to value - via relevance feedback - the importance of the user‟s inference in the process of such retrieval, in which the user establishes a dialog with the information retrieval system as to enhance the obtained results, and thus - being a cyclical process - it can be executed until he is pleased them. The conclusion is that an information retrieval system more efficient when its scope is enlarged from the different sources of data and allows the inference of the user when judging what he was presented with. / Doutor

>Magister Scientiae - MSc / The generation of biomedical research data on the African continent is growing, with numerous studies realizing the importance of African genetic diversity in discoveries of human origins and disease susceptibility. The decrease in costs to purchase and utilize such tools has enabled research groups to produce datasets of significant scientific value. However, this success story has resulted in a new challenge for African Researchers and institutions. An increase in data scale and complexity has led to an imbalance of infrastructure and skills to manage, store and analyse this data

This diploma thesis deals with a detection and analysis of secure connections of electro- nic communication through SSL/TLS protocols. The thesis begins with introduction to SSL/TLS protocols. Thereafter, an analysis of messages used to establish secure con- nections using STARTTLS and postal protocols SMTP, POP3, and IMAP was made. Metadata detection and extraction of secured simplex and duplex connections take place using deep packet inspection tools. The tool of choice is the nDPI library from the Ntop project. The library was extended to detect the connections and extract the metadata based on studies and analysis of transmitted messages. Finally, testing is performed on a training data set and a basic analysis of acquired metadata is made.

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No published studies to date examined the practices in creation or adoption of metadata in cultural heritage institutions or evaluated metadata in bibliographic databases in the Arabian Gulf counties and assessed its potential interoperability in the aggregation that would provide a central point of access to bibliographic databases of cultural heritage institutions. This exploratory study aimed to address this gap with the goal of: (1) developing understanding of the current state of information representation and knowledge organization in cultural heritage collections in Arabian Gulf countries, and (2) exploring perspectives for future developments such as creating regional large-scale portals similar to Digital Public Library of America, Europeana etc. that facilitate discovery by aggregating metadata and possible barriers to these developments.. The study is focused on a Kuwaiti, Qatari, and Omani libraries, museums, and archives. The mixed-methods research combined semi-structured interviews of the bibliographic database managers at 15 cultural heritage institutions and in-depth content analysis of a sample of 412 metadata records that represent items in these bibliographic databases for accuracy, completeness, consistency, use of knowledge organization systems, etc. This study findings make a research contribution important for evaluating the feasibility and planning of future aggregations of cultural heritage bibliographic databases. Results provided insights into possible ways to achieve interoperability in metadata for such digital portals in the Arabian Gulf region.

Sequenced semantics, which was first proposed in the context of temporal databases, is the semantics for the evaluation of a program on values annotated with time metadata. The time metadata records when each value is “live” (is valid or has existence). Sequenced semantics stipulates that a computation on values annotated with temporal metadata must be equivalent to, in effect, running the computation at every time point with only the values alive at that time. Sequenced semantics is challenging to program because it is more than just a re-interpretation of the run-time behavior of a program; for instance, a sequenced “if-else” statement may need to evaluate both the “true” and “false” branches, in different time slices of the computation. This thesis introduces MultiverseJava. MultiverseJava supports sequenced semantics for time stamped values in a Java program. Programmers currently have to resort to ad hoc methods to implement sequenced semantics in Java programs; hence, a better approach is needed. We show how MultiverseJava can be implemented using a MultiverseJava to Java translation. The translation layer weaves support for computing with the timestamped values into a Java program. This thesis describes the MultiverseJava architecture, the layer, semantic templates, and experiments to quantify the cost of MultiverseJava.

In recent years, metadata-driven software development has gained prominence. In this implementation model, various application concerns are provided as third-party frameworks and libraries that the programmer configures through metadata, such as XML configuration files or Java annotations. Metadata-driven software development is a special case of declarative programming: metadata serves as a domain-specific language that the programmer uses to declare various concerns, whose implementation is provided by an elaborate ecosystem of libraries and frameworks that serve as pre-defined application building blocks. Examples abound: transparent persistence mechanisms facilitate data management; security frameworks provide access control and encryption; unit testing frameworks provide abstractions for implementing and executing unit tests, etc. Metadata-driven software development has been particularly embraced in enterprise computing as a means of providing standardized solutions to common application scenarios. Despite the conciseness and simplicity benefits of metadata-driven software development, this implementation model introduces a unique set of reuse and evolution challenges. In particular, metadata is not reusable across application modules, and program evolution causes unsafe discrepancies between the main source code and its corresponding metadata. The research described in this dissertation addresses five fundamental problems of metadata-driven software development: (1) bytecode enhancements that transparently introduce concerns hinder program understanding and debugging; (2) mainstream enterprise metadata formats are hard to understand, evolve, and reuse; (3) concerns declared via metadata cannot be reused when source-to-source compiling emerging languages to mainstream ones; (4) metadata correctness cannot be automatically ensured as application source code is being refactored and enhanced; and (5) lacking built-in metadata, JavaScript programs can be enhanced with additional concerns only through manual source code changes. The research described in this dissertation leverages domain-specific languages and automated code generation to enable effective reuse and safe evolution in metadata-driven software development. The specific innovations that address the problems outlined above are as follows: (1) a domain-specific language (DSL) describing bytecode enhancement that facilitates the understanding and debugging of additional concerns; (2) a novel metadata format expressed as a DSL that is easier to author, understand, reuse, and maintain than existing metadata formats; (3) automated metadata translation that enables effective reuse of target language additional concerns from source-to-source compiled source language programs; (4) metadata invariants---a new abstraction for expressing and verifying metadata coding convention; and (5) a new approach to declaratively enhancing JavaScript programs with additional concerns. / Ph. D.

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