-
Ackermann, E.: Piaget's constructivism, Papert's constructionism : what's the difference? (2001)
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- Content
- Vgl.: https://www.semanticscholar.org/paper/Piaget-%E2%80%99-s-Constructivism-%2C-Papert-%E2%80%99-s-%3A-What-%E2%80%99-s-Ackermann/89cbcc1e740a4591443ff4765a6ae8df0fdf5554. Darunter weitere Hinweise auf verwandte Beiträge. Auch unter: Learning Group Publication 5(2001) no.3, S.438.
-
Carter, J.A.: PASSPORT/PRISM: authors and titles and MARC : oh my! (1993)
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- Source
- OCLC systems and services. 9(1993) no.3, S.20-22
-
Hatakama, H.; Terano, T.: ¬A multi-agent model of organizational intellectual activities for knowledge management (1996)
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- Abstract
- In this paper, authors propose a computational model of cooperative intellectual activities in an organization using the concepts of distributed artificial intelligence. In this model, we assume incomplete communication of knowledge among agents, and examine methods for pragmatic cooperative decision making and learning. We have implemented two typical variations of the model, the Specialists-Model and the Generalists-Model. Using the two variations, we carry out the simulation of dynamic activities of decision making and learning. Then, based an the model and these simulations, we systematically examine methods of knowledge management for effective augmentation of organizational intelligence.
- Source
- Knowledge management: organization competence and methodolgy. Proceedings of the Fourth International ISMICK Symposium, 21-22 October 1996, Netherlands. Ed.: J.F. Schreinemakers
-
Miller, D.J.: Advanced Freestyle searching with Lexis-Nexis (1997)
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- Date
- 5. 1.1999 18:18:22
- Type
- h
-
Leuser, P.: SGML-Einsatz bei Duden und Brockhaus : ein Verlag auf neuem Weg (1993)
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- Source
- Infodoc. 19(1993) H.3, S.20-22
-
Hug, H.; Nöthiger, R.: ETHICS: an online public access catalogue at ETH-Bibliothek, Zürich (1988)
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- Source
- Program. 22(1988), S.133-142
-
Horacek, H.: On expressing metonymic relations in multiple languages (1996)
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- Date
- 31. 7.1996 9:22:19
-
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
-
Crestani, F.; Du, H.: Written versus spoken queries : a qualitative and quantitative comparative analysis (2006)
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- Abstract
- The authors report on an experimental study on the differences between spoken and written queries. A set of written and spontaneous spoken queries are generated by users from written topics. These two sets of queries are compared in qualitative terms and in terms of their retrieval effectiveness. Written and spoken queries are compared in terms of length, duration, and part of speech. In addition, assuming perfect transcription of the spoken queries, written and spoken queries are compared in terms of their aptitude to describe relevant documents. The retrieval effectiveness of spoken and written queries is compared using three different information retrieval models. The results show that using speech to formulate one's information need provides a way to express it more naturally and encourages the formulation of longer queries. Despite that, longer spoken queries do not seem to significantly improve retrieval effectiveness compared with written queries.
- Date
- 5. 6.2006 11:22:23
-
Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006)
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- Abstract
- Research patterns could enhance understanding of the Information Systems (IS) field. Citation analysis is the methodology commonly used to determine such research patterns. In this study, the citation methodology is applied to one of the top-ranked Information Systems conferences - International Conference on Information Systems (ICIS). Information is extracted from papers in the proceedings of ICIS 2000 to 2002. A total of 145 base articles and 4,226 citations are used. Research patterns are obtained using total citations, citations per journal or conference, and overlapping citations. We then provide the citation ranking of journals and conferences. We also examine the difference between the citation ranking in this study and the ranking of IS journals and IS conferences in other studies. Based on the comparison, we confirm that IS research is a multidisciplinary research area. We also identify the most cited papers and authors in the IS research area, and the organizations most active in producing papers in the top-rated IS conference. We discuss the findings and implications of the study.
- Date
- 3. 1.2007 17:22:03
-
Hottenrott, H.; Rose, M.E.; Lawson, C.: ¬The rise of multiple institutional affiliations in academia (2021)
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- Abstract
- This study provides the first systematic, international, large-scale evidence on the extent and nature of multiple institutional affiliations on journal publications. Studying more than 15 million authors and 22 million articles from 40 countries we document that: In 2019, almost one in three articles was (co-)authored by authors with multiple affiliations and the share of authors with multiple affiliations increased from around 10% to 16% since 1996. The growth of multiple affiliations is prevalent in all fields and it is stronger in high impact journals. About 60% of multiple affiliations are between institutions from within the academic sector. International co-affiliations, which account for about a quarter of multiple affiliations, most often involve institutions from the United States, China, Germany and the United Kingdom, suggesting a core-periphery network. Network analysis also reveals a number communities of countries that are more likely to share affiliations. We discuss potential causes and show that the timing of the rise in multiple affiliations can be linked to the introduction of more competitive funding structures such as "excellence initiatives" in a number of countries. We discuss implications for science and science policy.
-
System migration (1997)
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- Date
- 22. 2.1999 13:37:59
- Editor
- Bush, C. u. H. Reed
-
Somers, H.: Example-based machine translation : Review article (1999)
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- Date
- 31. 7.1996 9:22:19
-
Milstead, J.L.; Borko, H.: Shoes for the Cobbler's children : the ASIS thesaurus (1994)
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- Source
- Bulletin of the American Society for Information Science. 21(1994) no.1, S.22-24
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Macskassy, S.A.; Hirsch, H.; Banerjee, A.; Dayanik, A A.: Converting numerical classification into text classification (2003)
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- Date
- 6. 3.1997 16:22:15
-
Baayen, R.H.; Lieber, H.: Word frequency distributions and lexical semantics (1997)
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- Date
- 28. 2.1999 10:48:22
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Baumann, S.; Tillett, B.: Interview: Barbara Tillett (2003)
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- Date
- 17. 8.2003 15:50:22
- Source
- Zeitschrift für Bibliothekswesen und Bibliographie. 50(2003) H.4, S.228-232
-
Henze, G.: Bericht über das öffentliche Stellungnahmeverfahren zum RAK-Musik-Entwurf 2003 (2004)
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- Date
- 6. 6.2004 10:37:22
- Source
- Dialog mit Bibliotheken. 16(2004) H.1, S.52-54
-
Morse, P.M.: Browsing and search theory (1973)
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- Date
- 22. 5.2005 19:52:29
- Source
- Toward a theory of librarianship. Papers in honor of J.H. Shera. Ed. by H. Rawski
-
Zheng, R.; Li, J.; Chen, H.; Huang, Z.: ¬A framework for authorship identification of online messages : writing-style features and classification techniques (2006)
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- Abstract
- With the rapid proliferation of Internet technologies and applications, misuse of online messages for inappropriate or illegal purposes has become a major concern for society. The anonymous nature of online-message distribution makes identity tracing a critical problem. We developed a framework for authorship identification of online messages to address the identity-tracing problem. In this framework, four types of writing-style features (lexical, syntactic, structural, and content-specific features) are extracted and inductive learning algorithms are used to build feature-based classification models to identify authorship of online messages. To examine this framework, we conducted experiments on English and Chinese online-newsgroup messages. We compared the discriminating power of the four types of features and of three classification techniques: decision trees, backpropagation neural networks, and support vector machines. The experimental results showed that the proposed approach was able to identify authors of online messages with satisfactory accuracy of 70 to 95%. All four types of message features contributed to discriminating authors of online messages. Support vector machines outperformed the other two classification techniques in our experiments. The high performance we achieved for both the English and Chinese datasets showed the potential of this approach in a multiple-language context.
- Date
- 22. 7.2006 16:14:37
