-
Müller, T.; Neth, H.: Wissenswust : Multimedia-Enzyklopädien auf CD-ROM (1996)
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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
-
Becker, S.: ¬A practical perspective on data quality issues (1998)
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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
-
Becker, H.S.: Navigating multimedia collections (1995)
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- Date
- 22. 2.1996 11:37:48
-
Bizer, C.; Lehmann, J.; Kobilarov, G.; Auer, S.; Becker, C.; Cyganiak, R.; Hellmann, S.: DBpedia: a crystallization point for the Web of Data. (2009)
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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.
-
Duretec, K.; Becker, C.: Format technology lifecycle analysis (2017)
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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.
-
Becker, D.: Automated language processing (1981)
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-
Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
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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
-
Copeland, N.S.; Farmer, J.F.; Smith, P.A.: Data migration : a brief primer (1997)
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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
-
Naaman, M.; Becker, H.; Gravano, L.: Hip and trendy : characterizing emerging trends on Twitter (2011)
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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.
-
Moore, R.W.: Management of very large distributed shared collections (2009)
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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
-
Desmarais, N.: Data preparation for electronic publications (1998)
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- Source
- Advances in librarianship. 22(1998), S.59-75
-
Shaw, R.; Golden, P.; Buckland, M.: Using linked library data in working research notes (2015)
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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
-
What has happened to Sony Data Discman and Mini-Disc (1996)
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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
-
He, L.; Nahar, V.: Reuse of scientific data in academic publications : an investigation of Dryad Digital Repository (2016)
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- Abstract
- Purpose - In recent years, a large number of data repositories have been built and used. However, the extent to which scientific data are re-used in academic publications is still unknown. The purpose of this paper is to explore the functions of re-used scientific data in scholarly publication in different fields. Design/methodology/approach - To address these questions, the authors identified 827 publications citing resources in the Dryad Digital Repository indexed by Scopus from 2010 to 2015. Findings - The results show that: the number of citations to scientific data increases sharply over the years, but mainly from data-intensive disciplines, such as agricultural, biology science, environment science and medicine; the majority of citations are from the originating articles; and researchers tend to reuse data produced by their own research groups. Research limitations/implications - Dryad data may be re-used without being formally cited. Originality/value - The conservatism in data sharing suggests that more should be done to encourage researchers to re-use other's data.
- Date
- 20. 1.2015 18:30:22
-
Frank, S.: Cataloging digital geographic data in the information infrastructure (1997)
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- Source
- Encyclopedia of library and information science. Vol.59, [=Suppl.22]
-
Cronin, B.: Thinking about data (2013)
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- Date
- 22. 3.2013 16:18:36
-
Chowdhury, G.G.: Template mining for information extraction from digital documents (1999)
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- Date
- 2. 4.2000 18:01:22
- Theme
- Data Mining
-
Riehm, U.; Böhle, K.; Wingert, B.; Gabel-Becker, I.; Loeben, M.: Autoren, Verlage, Nutzer : Elektronisches Publizieren in der Bundesrepublik Deutschland (1989)
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-
Swartzberg, T.: Identifying and spreading expertise : The knowledge manager's brief: to disseminate a company's data and the know-how of its staff (1999)
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- Date
- 29.11.1999 12:18:22
- Source
- International Herald Tribune. 15. Nov. 1999, S.22
-
Salaba, A.; Zeng, M.L.: Extending the "Explore" user task beyond subject authority data into the linked data sphere (2014)
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- Abstract
- "Explore" is a user task introduced in the Functional Requirements for Subject Authority Data (FRSAD) final report. Through various case scenarios, the authors discuss how structured data, presented based on Linked Data principles and using knowledge organisation systems (KOS) as the backbone, extend the explore task within and beyond subject authority data.
- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
