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  1. Müller, T.; Neth, H.: Wissenswust : Multimedia-Enzyklopädien auf CD-ROM (1996) 0.26 
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    Content
    Vorgestellt werden: Kompakt Brockhaus Multimedial; Bertelsmann Universallexikon 1996; Bertelsmann Discovery 1995/96; Knaurs Lexikon von A bis Z 4.3b; Micrsoft Home LexiROM; LexiCon; Data Becker Lexikon 1.0e; Compton's Interactive Encyclopedia 1996; Grolier Multimedia Encyclopedia 1996; Hutchinson Multimedia Encyclopedia 1995; Microsoft Encarta 96; InfoPedia 2.0; Encyclopaedia Britannica CD 2.02
    Object
    Knaurs Lexikon von A-Z
    Große Data Becker Lexikon
  2. Becker, S.: ¬A practical perspective on data quality issues (1998) 0.12 
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    Abstract
    Explains why data quality is important. Problems that impact data quality include: data corruption due to incorrect conversion, historical and current data have different meanings, the same data has more than 1 data definition, missing data, hidden data, missing granularity, and violation of integrity rules. Suggests an improvement strategy to establish organizational commitment to cahnge what has been done in promoting data quality. Misconceptions that impact data quality are: data quality improves with the introduction of new technology; old data quality will not have an impact on new database development; and data quality is a database administration problem
  3. Becker, C.; Bizer, C.: DBpedia Mobile : a location-aware Semantic Web client 0.09 
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    Abstract
    DBpedia Mobile is a location-aware client for the Semantic Web that can be used on an iPhone and other mobile devices. Based on the current GPS position of a mobile device, DBpedia Mobile renders a map indicating nearby locations from the DBpedia dataset. Starting from this map, the user can explore background information about his surroundings by navigating along data links into otherWeb data sources. DBpedia Mobile has been designed for the use case of a tourist exploring a city. As the application is not restricted to a fixed set of data sources but can retrieve and display data from arbitrary Web data sources, DBpedia Mobile can also be employed within other use cases, including ones unforeseen by its developers. Besides accessing Web data, DBpedia Mobile also enables users to publish their current location, pictures and reviews to the Semantic Web so that they can be used by other Semantic Web applications. Instead of simply being tagged with geographical coordinates, published content is interlinked with a nearby DBpedia resource and thus contributes to the overall richness of the Geospatial Semantic Web.
    Source
    http://www.wiwiss.fu-berlin.de/en/institute/pwo/bizer/research/publications/Becker-Bizer-DBpediaMobile-Submission.pdf
  4. Becker, H.S.: Navigating multimedia collections (1995) 0.09 
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    Date
    22. 2.1996 11:37:48
  5. Bizer, C.; Lehmann, J.; Kobilarov, G.; Auer, S.; Becker, C.; Cyganiak, R.; Hellmann, S.: DBpedia: a crystallization point for the Web of Data. (2009) 0.08 
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    Abstract
    The DBpedia project is a community effort to extract structured information from Wikipedia and to make this information accessible on the Web. The resulting DBpedia knowledge base currently describes over 2.6 million entities. For each of these entities, DBpedia defines a globally unique identifier that can be dereferenced over the Web into a rich RDF description of the entity, including human-readable definitions in 30 languages, relationships to other resources, classifications in four concept hierarchies, various facts as well as data-level links to other Web data sources describing the entity. Over the last year, an increasing number of data publishers have begun to set data-level links to DBpedia resources, making DBpedia a central interlinking hub for the emerging Web of data. Currently, the Web of interlinked data sources around DBpedia provides approximately 4.7 billion pieces of information and covers domains suc as geographic information, people, companies, films, music, genes, drugs, books, and scientific publications. This article describes the extraction of the DBpedia knowledge base, the current status of interlinking DBpedia with other data sources on the Web, and gives an overview of applications that facilitate the Web of Data around DBpedia.
  6. Duretec, K.; Becker, C.: Format technology lifecycle analysis (2017) 0.08 
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    Abstract
    The lifecycles of format technology have been a defining concern for digital stewardship research and practice. However, little evidence exists to provide robust methods for assessing the state of any given format technology and describing its evolution over time. This article introduces relevant models from diffusion theory and market research and presents a replicable analysis method to compute models of technology evolution. Data cleansing and the combination of multiple data sources enable the application of nonlinear regression to estimate the parameters of the Bass diffusion model on format technology market lifecycles. Through its application to a longitudinal data set from the UK Web Archive, we demonstrate that the method produces reliable results and show that the Bass model can be used to describe format lifecycles. By analyzing adoption patterns across market segments, new insights are inferred about how the diffusion of formats and products such as applications occurs over time. The analysis provides a stepping stone to a more robust and evidence-based approach to model technology evolution.
  7. Becker, C.A.: Community information service (1974) 0.08 
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  8. Becker, D.: Automated language processing (1981) 0.08 
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  9. Jonker, F.: Indexing theory, indexing methods, and search devices (1964) 0.07 
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    Footnote
    Rez. in: College and research libraries 25(1964) no.6, S.519 (J. Becker)
  10. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.07 
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
    Source
    Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK
  11. Between data science and applied data analysis : Proceedings of the 26th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Mannheim, July 22-24, 2002 (2003) 0.06 
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    Series
    Studies in classification, data analysis, and knowledge organization
  12. Copeland, N.S.; Farmer, J.F.; Smith, P.A.: Data migration : a brief primer (1997) 0.06 
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    Abstract
    Describes the dynamics of data migration and provides advice on what data to extract, how to extract the data, what tools to use in planning data migration and how to test that the data transfer has been successful. Recommends that a team of diverse experts with a thorough understanding of the types of data to be converted should lead the process
    Date
    22. 2.1999 13:41:52
    Source
    Colorado libraries. 23(1997) no.4, S.22-24
  13. Naaman, M.; Becker, H.; Gravano, L.: Hip and trendy : characterizing emerging trends on Twitter (2011) 0.06 
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    Abstract
    Twitter, Facebook, and other related systems that we call social awareness streams are rapidly changing the information and communication dynamics of our society. These systems, where hundreds of millions of users share short messages in real time, expose the aggregate interests and attention of global and local communities. In particular, emerging temporal trends in these systems, especially those related to a single geographic area, are a significant and revealing source of information for, and about, a local community. This study makes two essential contributions for interpreting emerging temporal trends in these information systems. First, based on a large dataset of Twitter messages from one geographic area, we develop a taxonomy of the trends present in the data. Second, we identify important dimensions according to which trends can be categorized, as well as the key distinguishing features of trends that can be derived from their associated messages. We quantitatively examine the computed features for different categories of trends, and establish that significant differences can be detected across categories. Our study advances the understanding of trends on Twitter and other social awareness streams, which will enable powerful applications and activities, including user-driven real-time information services for local communities.
  14. Self-service in libraries : an overview (1996) 0.06 
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    Content
    Darin auch: BECKER, U.: Self-service in Cologne public library (S.24-29)
  15. Moore, R.W.: Management of very large distributed shared collections (2009) 0.06 
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    Abstract
    Large scientific collections may be managed as data grids for sharing data, digital libraries for publishing data, persistent archives for preserving data, or as real-time data repositories for sensor data. Despite the multiple types of data management objectives, it is possible to build each system from generic software infrastructure. This entry examines the requirements driving the management of large data collections, the concepts on which current data management systems are based, and the current research initiatives for managing distributed data collections.
    Date
    27. 8.2011 14:22:57
  16. Desmarais, N.: Data preparation for electronic publications (1998) 0.05 
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    Source
    Advances in librarianship. 22(1998), S.59-75
  17. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.05 
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    Content
    Präsentation anlässlich: European Conference on Data Analysis (ECDA 2014) in Bremen, Germany, July 2nd to 4th 2014, LIS-Workshop.
    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  18. KDD : techniques and applications (1998) 0.05 
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    Footnote
    A special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
    Theme
    Data Mining
  19. Shaw, R.; Golden, P.; Buckland, M.: Using linked library data in working research notes (2015) 0.05 
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    Date
    15. 1.2016 19:22:28
    Source
    Linked data and user interaction: the road ahead. Eds.: Cervone, H.F. u. L.G. Svensson
  20. What has happened to Sony Data Discman and Mini-Disc (1996) 0.05 
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    Abstract
    Traces the initial success of the Sony Data Discman and Mini Disc 3,5 inch CD-ROM in Japan and its ultimate failure to reach a mass market as a publishing medium
    Object
    Data Discman
    Source
    Digital publisher. 1(1996) no.4, S.22-24

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