389,398 research outputs found

    Design for the contact zone. Knowledge management software and the structures of indigenous knowledges

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    This article examines the design of digital indigenous knowledge archives. In a discussion of the distinction between indigenous knowledge and western science, a decentred perspective is developed, in which the relationship between different local knowledges is explored. The particular characteristics of indigenous knowledges raise questions about if and how these knowledges can be managed. The role of technology in managing indigenous knowledges is explored with examples from fieldwork in India and Kenya and from web-based databases and digital archives. The concept of contact zone is introduced to explore the space in which different knowledges meet and are performed, such as indigenous knowledge and the technoscientific knowledge of the database. Design for the contact zone, this article proposes, is an intra-active and adaptive process for in creating databases that are meaningful for indigenous knowers. The meta-design approach is introduced as a methodology, which may provide indigenous knowers tools for self-representation and self-organisation through design

    The relationship between IR and multimedia databases

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    Modern extensible database systems support multimedia data through ADTs. However, because of the problems with multimedia query formulation, this support is not sufficient.\ud \ud Multimedia querying requires an iterative search process involving many different representations of the objects in the database. The support that is needed is very similar to the processes in information retrieval.\ud \ud Based on this observation, we develop the miRRor architecture for multimedia query processing. We design a layered framework based on information retrieval techniques, to provide a usable query interface to the multimedia database.\ud \ud First, we introduce a concept layer to enable reasoning over low-level concepts in the database.\ud \ud Second, we add an evidential reasoning layer as an intermediate between the user and the concept layer.\ud \ud Third, we add the functionality to process the users' relevance feedback.\ud \ud We then adapt the inference network model from text retrieval to an evidential reasoning model for multimedia query processing.\ud \ud We conclude with an outline for implementation of miRRor on top of the Monet extensible database system

    Fostering innovation in a small open economy: The case of the New Zealand biotechnology sector

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    The New Zealand Biotechnology sector is worthy of study for several reasons. While there is a large and growing international literature on economic aspects of biotechnology innovation these studies concentrate on the United States and Europe. The New Zealand biotechnology sector may be expected to develop along a different trajectory as a consequence of a markedly different set of initial and framework conditions. Government has indicated a strong interest in fostering innovation and aims to concentrate on selected areas where New Zealand may be able to develop a new comparative advantage. One such area is biotechnology, which would build on New Zealand’s existing comparative advantage in the primary sector (dairy, forestry, meat, wool and horticulture). This paper describes the preliminary results of an ongoing study that aims to fill some of the gaps in our knowledge of innovation processes in New Zealand while using the international literature as a benchmark. The paper focuses on the drivers of innovation in the biotechnology sector; the role of networks and other linkages; the role of government and industry, the role of human and venture capital, and data from patenting

    The IIASA-LUC Project Georeferenced Database of Russia. Volumes 1 and 2: Soil and Terrain Digital Database (SOTER)

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    The IIASA-LUC georeferenced database for the former U.S.S.R. was created within the framework of the project "Modeling Land Use and Land Cover Changes in Europe and Northern Asia" (LUC). For Russia, essential information on relief, soil, vegetation, land cover and use, etc., for routine environmental analysis was lacking when the LUC project started developing the database. In addition, the environmental data on the former U.S.S.R. which were available occurred in formats (papers, tables,etc.) that in general could not be used with modern information technology, and in particular in model building. In creating the LUC project database, we have established a threefold task: (1) to obtain the relevant information for the LUC project modeling excercises; (2) to develop data which is applicable to modern information technology; (3) to contribute a series of digital databases which could be applied for a number of other specific analyses by the national and international scientific community. In defining the tasks it was agreed to create a set of digital databases which could be handled by geographic information systems (GIS). The full set of georeferenced digital databases was combined into the LUC project's GIS, using ARC/INFO. However, each individual item (physiography, soil, vegetation, etc.) was created as a separate digital database, allowing each item to be used independently, according to user's needs. The complete set of the unique georeferenced digital databases for the territory of the former U.S.S.R. is described in the IIASA/LUC volumes: Volume 1 -- Physiography (landforms, slope conditions, elevations); Volume 2 -- Soil; Volume 3 -- Soil Degradation Status (Russia); Volume 4 -- Vegetation; Volume 5 -- Land Categories; Volume 6 -- Agricultural regionalization. The main objective of the research summarized in this report was to compile, fully correlate, and update the FAO Soil Map of the World for the territory of Russia. It originated from several discussions with Dr. W. Sombroek (FAO), R. Brinkman (FAO), R. Oldeman (ISRIC) which took place at the International Soil Reference Information Center (ISRIC) in 1988-1989. These discussions were initiated through research being carried out by the project on Global Assessment of Human-Induced Soil Degredation (UNEP/ISRIC, 1990) which urgently required reliable soil information on Russia. It was recognized that several other environment related activities were facing a similar problem. In response to the discussions, the Food and Agriculture Organization of the United Nations (FAO) launched a project in 1993. According to the Letter of Agreement (CMT 73197) signed by the FAO and Dokuchaev Soil Institute, the project was aimed at preparing "a Soil map of Russia at 1:5 million scale using the Revised Legend of the Soil Map of the World (1988) and corresponding database reflecting the information contained in the map of the same region." The Agreement defined six layers of information to be distinguished for digitizing: (1) Soil mapping unit boundaries; (2) Topographic lines (rivers, contour lines and coastal line); (3) Geographical coordinates (longitude, latitude); (4) Physiographic (landform) units; (5) Graticule of the map; (6) Province boundaries. In 1994, the requested products were completed and transferred to the FAO for digitizing by scanning. At that time, however, the compilation of a digital database could not be completed at FAO. In 1995 all materials were passed to the International Institute for Applied Systems Analysis (IIASA) with the objective to complete the database. Considerable efforts by the GIS group of the project "Modeling Land Use and Land Cover Changes in Europe and Northers Asia" at IIASA were put into checking, correcting, and linking the digital data, and making them mutually consistent. Completion of the digital database at IIASA, the first product of this kind to be published on the territory of Russia, has provided a more comprehensive understanding of the territory and its environment. Using modern GIS techniques, this knowledge is now readily available to any scientific or applied analyses of the land resources and environment of Russia

    Engineering : programme area review

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    COBOL to Java and Newspapers Still Get Delivered

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    This paper is an experience report on migrating an American newspaper company's business-critical IBM mainframe application to Linux servers by automatically translating the application's source code from COBOL to Java and converting the mainframe data store from VSAM KSDS files to an Oracle relational database. The mainframe application had supported daily home delivery of the newspaper since 1979. It was in need of modernization in order to increase interoperability and enable future convergence with newer enterprise systems as well as to reduce operating costs. Testing the modernized application proved to be the most vexing area of work. This paper explains the process that was employed to test functional equivalence between the legacy and modernized applications, the main testing challenges, and lessons learned after having operated and maintained the modernized application in production over the last eight months. The goal of delivering a functionally equivalent system was achieved, but problems remained to be solved related to new feature development, business domain knowledge transfer, and recruiting new software engineers to work on the modernized application.Comment: 4 pages, Accepted to be Published in: Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution (ICSME), September 23-29, 2018, Madrid, Spai
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