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The digital age has had a profound effect on our cultural heritage and the academic research that studies it. Staggering amounts of objects, many of them of a textual nature, are being digitised to make them more readily accessible to both experts and laypersons. Besides a vast potential for more effective and efficient preservation, management, and presentation, digitisation offers opportunities to work with cultural heritage data in ways that were never feasible or even imagined. To explore and exploit these possibilities, an interdisciplinary approach is needed, bringing together experts from cultural heritage, the social sciences and humanities on the one hand, and information technology...
Current database technology and computer hardware allow us to gather, store, access, and manipulate massive volumes of raw data in an efficient and inexpensive manner. In addition, the amount of data collected and warehoused in all industries is growing every year at a phenomenal rate. Nevertheless, our ability to discover critical, non-obvious nuggets of useful information in data that could influence or help in the decision making process, is still limited. Knowledge discovery (KDD) and Data Mining (DM) is a new, multidisciplinary field that focuses on the overall process of information discovery from large volumes of data. The field combines database concepts and theory, machine learning,...
This book explores major similarities and differences in the structure, conduct, and performance of the national technology transfer systems of Germany and the United States. It maps the technology transfer landscape in each country in detail, uses case studies to examine the dynamics of technology transfer in four major technology areas, and identifies areas and opportunities for further mutual learning between the two national systems.
In the mid 1990s, Tim Berners-Lee had the idea of developing the World Wide Web into a „Semantic Web“, a web of information that could be interpreted by machines in order to allow the automatic exploitation of data, which until then had to be done by humans manually. One of the first people to research topics related to the Semantic Web was Professor Rudi Studer. From the beginning, Rudi drove projects like ONTOBROKER and On-to-Knowledge, which later resulted in W3C standards such as RDF and OWL. By the late 1990s, Rudi had established a research group at the University of Karlsruhe, which later became the nucleus and breeding ground for Semantic Web research, and many of today’s well-...
本书总结了2004年度计算机科学技术发展的热点文体和现状,展望了未来的发展趋势。书中包括高性能计算机主题、软件主题、网格计算主题、嵌入式和新型人机交互主题以及生物信息学主题等5个主题共12个报告。
This book contains a collection of 24 state-of-the-art contributions in the area of Information Systems Engineering. It was compiled as a tribute to Professor Janis Bubenko on the occasion of his retirement from the University of Stockholm in February 2000. The contributions are arranged in three sections: - Information Society, with such subjects as B2B E-Commerce, human imperfection, stream data management and enterprise modeling - Approaches to Information Systems Engineering, discussing data warehouse development, web-enabled methods, reuse, and meta-data - Concepts for Information Systems, on more fundamental notions such as time, abstraction, co-operation, intention and information All the contributors are well-known and highly reputed scholars in the area of Information Systems Engineering from all over the world.
Volume 2.
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