885 resultados para Semantic Publishing, Linked Data, Bibliometrics, Informetrics, Data Retrieval, Citations
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El proyecto nace de un proyecto anterior donde se construyó un modelo para representar la información de los estudios superiores mediante una red de ontologías, proporcionando una definición común de conceptos importantes. Este proyecto consiste en desarrollar una herramienta capaz de generar datos educativos, a partir de la red de ontologías mencionadas anteriormente, siguiendo el paradigma de Linked Data [1]. La herramienta deberá extraer datos de diferentes fuentes educativas y transformará dichos datos educativos a datos enlazados (Linked Data). Para llevar a cabo esta labor se ha utilizado GATE Developer [2], es un entorno de desarrollo que proporciona un completo conjunto de herramientas gráficas interactivas para la creación, medición y mantenimiento de componentes de software para el procesamiento del lenguaje humano.---ABSTRACT---The project arises from a previous project in which a model was constructed to represent information of higher education through a network of ontologies, providing a common definition of important concepts. This project is to develop a tool capable of generating educational data from the ontology network mentioned above, following the paradigm of Linked Data [1]. The tool will extract data from different educational sources and transform said data to linked data (linked data). To carry out this work has been used GATE Developer [2]. It is a development environment that provides a comprehensive set of interactive graphical tools for creating, measuring and maintenance of software components for human language processing.
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Federal Highway Administration, Washington, D.C.
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Federal Highway Administration, Washington, D.C.
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"August 1994."
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Transportation Systems Center, Cambridge, Mass.
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DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY AND INFORMATION SERVICES WITH PRIOR ARRANGEMENT
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Six actions for collation collective intelligence to inform and accelerate change
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The increased data complexity and task interdependency associated with servitization represent significant barriers to its adoption. The outline of a business game is presented which demonstrates the increasing complexity of the management problem when moving through Base, Intermediate and Advanced levels of servitization. Linked data is proposed as an agile set of technologies, based on well established standards, for data exchange both in the game and more generally in supply chains.
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PRELIDA (PREserving LInked DAta) is an FP7 Coordination Action funded by the European Commission under the Digital Preservation Theme. PRELIDA targets the particular stakeholders of the Linked Data community, including data providers, service providers, technology providers and end user communities. These stakeholders have not been traditionally targeted by the Digital Preservation community, and are typically not aware of the digital preservation solutions already available. So an important task of PRELIDA is to raise awareness of existing preservation solutions and to facilitate their uptake. At the same time, the Linked Data cloud has specific characteristics in terms of structuring, interlinkage, dynamicity and distribution that pose new challenges to the preservation community. PRELIDA organises in-depth discussions among the two communities to identify which of these characteristics require novel solutions, and to develop road maps for addressing the new challenges. PRELIDA will complete its lifecycle at the end of this year, and the talk will report about the major findings.
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Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2015
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Methods for accessing data on the Web have been the focus of active research over the past few years. In this thesis we propose a method for representing Web sites as data sources. We designed a Data Extractor data retrieval solution that allows us to define queries to Web sites and process resulting data sets. Data Extractor is being integrated into the MSemODB heterogeneous database management system. With its help database queries can be distributed over both local and Web data sources within MSemODB framework. ^ Data Extractor treats Web sites as data sources, controlling query execution and data retrieval. It works as an intermediary between the applications and the sites. Data Extractor utilizes a twofold “custom wrapper” approach for information retrieval. Wrappers for the majority of sites are easily built using a powerful and expressive scripting language, while complex cases are processed using Java-based wrappers that utilize specially designed library of data retrieval, parsing and Web access routines. In addition to wrapper development we thoroughly investigate issues associated with Web site selection, analysis and processing. ^ Data Extractor is designed to act as a data retrieval server, as well as an embedded data retrieval solution. We also use it to create mobile agents that are shipped over the Internet to the client's computer to perform data retrieval on behalf of the user. This approach allows Data Extractor to distribute and scale well. ^ This study confirms feasibility of building custom wrappers for Web sites. This approach provides accuracy of data retrieval, and power and flexibility in handling of complex cases. ^
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Methods for accessing data on the Web have been the focus of active research over the past few years. In this thesis we propose a method for representing Web sites as data sources. We designed a Data Extractor data retrieval solution that allows us to define queries to Web sites and process resulting data sets. Data Extractor is being integrated into the MSemODB heterogeneous database management system. With its help database queries can be distributed over both local and Web data sources within MSemODB framework. Data Extractor treats Web sites as data sources, controlling query execution and data retrieval. It works as an intermediary between the applications and the sites. Data Extractor utilizes a two-fold "custom wrapper" approach for information retrieval. Wrappers for the majority of sites are easily built using a powerful and expressive scripting language, while complex cases are processed using Java-based wrappers that utilize specially designed library of data retrieval, parsing and Web access routines. In addition to wrapper development we thoroughly investigate issues associated with Web site selection, analysis and processing. Data Extractor is designed to act as a data retrieval server, as well as an embedded data retrieval solution. We also use it to create mobile agents that are shipped over the Internet to the client's computer to perform data retrieval on behalf of the user. This approach allows Data Extractor to distribute and scale well. This study confirms feasibility of building custom wrappers for Web sites. This approach provides accuracy of data retrieval, and power and flexibility in handling of complex cases.
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Os museus são instituições que desempenham um importante papel para a sociedade, com seus acervos de grande valor cultural e científico. É dever dos museus promover o acesso aos acervos e realizar ações de comunicação para divulgação e acesso público aos bens culturais que compõem suas coleções. Os museus vêm empregando a Tecnologia da Informação e Comunicação para apoiar suas atividades, ampliar o leque de serviços prestados à sociedade, promover a cultura, ciência e conhecimento, divulgar e disponibilizar seus acervos por meio da Web. Para disponibilizar as informações de acervos de museus, tornando uma navegação mais intuitiva e natural, e possibilitar a troca de informações entre os museus, visando a Recuperação da Informação, o reuso e interoperabilidade dos dados, é preciso adaptá-las para o formato da Web Semântica. Este estudo propõe uma solução para integrar os dados de acervos da Rede de Museus e Espaços de Ciências e Cultura da Universidade Federal de Minas Gerais e disponibilizá-los na Web, utilizando conceitos da Web Semântica e Linked Data. Para atingir esse objetivo, será desenvolvido um estudo experimental e um protótipo de aplicação para validá-lo e responder à pergunta de competência.
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In 2005, the University of Maryland acquired over 70 digital videos spanning 35 years of Jim Henson’s groundbreaking work in television and film. To support in-house discovery and use, the collection was cataloged in detail using AACR2 and MARC21, and a web-based finding aid was also created. In the past year, I created an "r-ball" (a linked data set described using RDA) of these same resources. The presentation will compare and contrast these three ways of accessing the Jim Henson Works collection, with insights gleaned from providing resource discovery using RIMMF (RDA in Many Metadata Formats).