Search (10 results, page 1 of 1)

  • × subject_ss:"Database management"
  1. Semantic keyword-based search on structured data sources : First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers (2016) 0.04
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    Abstract
    This book constitutes the thoroughly refereed post-conference proceedings of the First COST Action IC1302 International KEYSTONE Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised full papers, 3 revised short papers, and 2 invited papers were carefully reviewed and selected from 22 initial submissions. The paper topics cover techniques for keyword search, semantic data management, social Web and social media, information retrieval, benchmarking for search on big data.
    Date
    1. 2.2016 18:25:22
    Imprint
    Basel : Springer International Publishing
  2. Jones, J.; Monk, S.: Databases in theory and practice (1997) 0.02
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    Imprint
    London : International Thomson Computer Pr.
  3. Information and communication technologies : international conference; proceedings / ICT 2010, Kochi, Kerala, India, September 7 - 9, 2010 (2010) 0.02
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    Abstract
    This book constitutes the proceedings of the International Conference on Information and Communication Technologies held in Kochi, Kerala, India in September 2010.
  4. Metadata and semantics research : 5th International Conference, MTSR 2011, Izmir, Turkey, October 12-14, 2011. Proceedings (2011) 0.01
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    Abstract
    This volume constitutes the selected papers of the 5th International Conference on Metadata and Semantics Research, MTSR 2011, held in Izmir, Turkey, in October 2011. The 36 full papers presented together with 16 short papers and project reports were carefully reviewed and selected from 118 submissions. The papers are organized in topical sections on Tracks on Metadata and Semantics for Open Access Repositories and Infrastructures, Metadata and Semantics for Learning Infrastructures, Metadata and Semantics for Cultural Collections and Applications, Metadata and Semantics for Agriculture, Food and Environment.
  5. Fensel, D.: Ontologies : a silver bullet for knowledge management and electronic commerce (2004) 0.01
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    Classification
    004.67/8 22
    DDC
    004.67/8 22
  6. Reasoning Web : Semantic Interoperability on the Web, 13th International Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures (2017) 0.01
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    Imprint
    Cham : Springer International Publishing
  7. Kowalski, G.J.; Maybury, M.T.: Information storage and retrieval systems : theory and implemetation (2000) 0.01
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    Series
    The Kluwer international series on information retrieval; 8
  8. Croft, W.B.: Advances in information retrieval : Recent research from the Center for Intelligent Information Retrieval (2000) 0.01
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    Series
    The Kluwer international series on information retrieval; 7
  9. Indexing techniques for advanced database systems (1997) 0.01
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    Series
    Kluwer international series on advances in database systems
  10. Mining text data (2012) 0.01
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    Abstract
    Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.

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