-
Atran, S.; Medin, D.L.; Ross, N.: Evolution and devolution of knowledge : a tale of two biologies (2004)
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- Content
- Vgl.: https://www.researchgate.net/publication/5090125_Evolution_and_Devolution_of_Knowledge_A_Tale_of_Two_Biologies. Vgl. auch: 10.1111/j.1467-9655.2004.00195.x.
- Date
- 23. 1.2022 10:22:18
-
Zheng, X.; Chen, J.; Yan, E.; Ni, C.: Gender and country biases in Wikipedia citations to scholarly publications (2023)
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- Date
- 22. 1.2023 18:53:32
-
Zhang, X.; Wang, D.; Tang, Y.; Xiao, Q.: How question type influences knowledge withholding in social Q&A community (2023)
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- Date
- 22. 9.2023 13:51:47
-
Zhu, Q.; Kong, X.; Hong, S.; Li, J.; He, Z.: Global ontology research progress : a bibliometric analysis (2015)
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- Date
- 20. 1.2015 18:30:22
17. 9.2018 18:22:23
-
Gu, X.; Blackmore, K.L.: Developing a scholar classification scheme from publication patterns in academic science : a cluster analysis approach (2019)
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- Abstract
- The impact of university rankings has driven scholars to increase productivity, and expanding collaboration has dramatically changed the publishing patterns in the academic publication system. The aim of this study was to develop a scholar classification scheme from publication patterns in academic science. Classification schemes are ways of describing groups that display different clusters of behaviors, approaches, or perspectives, and useful in the development of typologies. In this research, sample data are selected from three representative universities, considered a leading university, a middle-tier university, and a noncomprehensive university. A final set of 11,427 effective scholars and their 284,128 journal publication records were used to develop the classification scheme via cluster analysis. The results identify six types of scholars, labeled as: singleton (8%), small-team low performer (16%), small-team high performer (17%), big-team strategist (22%), free-style follower (21%), and life-time warrior (17%). These six scholar types demonstrate different approaches to publishing that can be used to understand both individual and research team performance across different institutional settings. Additionally, possible future work was identified that uses the scholar classification scheme to define the behavior for agents in an agent-based model to simulate the strategic-behavior-driven academic publication system.
- Date
- 8.10.2019 19:18:22
-
Lomax, E.C.; Lowe, H.J.; Logan, T.F.; Detlefsen, E.G.: ¬An investigation of the information seeking behavior of medical oncologists in Metropolitan Pittsburgh using a multi-method approach (1999)
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- Abstract
- Cancer is second only to heart disease as a leading cause of non-accidental death in the United States, accounting for 23% of all deaths in 1993 (Thomas 1992). The information required to support clinical decision-making related to the diagnosis, therapy, and treatment of cancer is derived from a wide range of sources including imaging modalities such as CT scans, X-ray, and MRI. As a multi-disciplinary area in medicine, medical oncology has unique information needs. Medical oncologists must be familiar with the diagnostic tools of the pathologist, radiologist, pharmacist and, increasingly, the molecular biologist. In addition, patients with cancer may be managed by several physicians with varied areas of medical expertise and clinical perspectives on the patient's problem. As a result, the medical oncologist often is required to interact with other medical specialists in the course of caring for the cancer patient. The multiplicity of diagnostic and therapeutic options including imaging technologies, requires the oncologist to be actively involved in both the seeking and dissemination of information. An additional compounding factor in this regard is that the oncologist in the academic medical center setting is often involved in research as well as in patient care.
- Date
- 22. 3.2002 9:40:39
-
Wu, Y.-f.B.; Li, Q.; Bot, R.S.; Chen, X.: Finding nuggets in documents : a machine learning approach (2006)
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- Date
- 22. 7.2006 17:25:48
-
Chau, M.; Lu, Y.; Fang, X.; Yang, C.C.: Characteristics of character usage in Chinese Web searching (2009)
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- Date
- 22.11.2008 17:57:22
-
Chen, M.; Liu, X.; Qin, J.: Semantic relation extraction from socially-generated tags : a methodology for metadata generation (2008)
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- Source
- Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
-
Yuan, X. (J.); Belkin, N.J.: Applying an information-seeking dialogue model in an interactive information retrieval system (2014)
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- Date
- 6. 4.2015 19:22:59
-
Li, X.; Thelwall, M.; Kousha, K.: ¬The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication (2015)
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- Date
- 20. 1.2015 18:30:22
-
Niu, X.; Kelly, D.: ¬The use of query suggestions during information search (2014)
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- Date
- 25. 1.2016 18:43:22
-
Zhou, D.; Lawless, S.; Wu, X.; Zhao, W.; Liu, J.: ¬A study of user profile representation for personalized cross-language information retrieval (2016)
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- Date
- 20. 1.2015 18:30:22
-
Wu, Z.; Li, R.; Zhou, Z.; Guo, J.; Jiang, J.; Su, X.: ¬A user sensitive subject protection approach for book search service (2020)
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- Date
- 6. 1.2020 17:22:25
-
Yang, F.; Zhang, X.: Focal fields in literature on the information divide : the USA, China, UK and India (2020)
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- Date
- 13. 2.2020 18:22:13
-
Guo, T.; Bai, X.; Zhen, S.; Abid, S.; Xia, F.: Lost at starting line : predicting maladaptation of university freshmen based on educational big data (2023)
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- Date
- 27.12.2022 18:34:22
-
Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978)
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- Source
- https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
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Doszkocs, T.E.; Reggia, J.; Lin, X.: Connectionist models and information retrieval (1990)
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Holley, R.P.: Constraints of the 3 x 5 card (1984)
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Zeng, M.L.; Fan, W.; Lin, X.: SKOS for an integrated vocabulary structure (2008)
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- Abstract
- In order to transfer the Chinese Classified Thesaurus (CCT) into a machine-processable format and provide CCT-based Web services, a pilot study has been conducted in which a variety of selected CCT classes and mapped thesaurus entries are encoded with SKOS. OWL and RDFS are also used to encode the same contents for the purposes of feasibility and cost-benefit comparison. CCT is a collected effort led by the National Library of China. It is an integration of the national standards Chinese Library Classification (CLC) 4th edition and Chinese Thesaurus (CT). As a manually created mapping product, CCT provides for each of the classes the corresponding thesaurus terms, and vice versa. The coverage of CCT includes four major clusters: philosophy, social sciences and humanities, natural sciences and technologies, and general works. There are 22 main-classes, 52,992 sub-classes and divisions, 110,837 preferred thesaurus terms, 35,690 entry terms (non-preferred terms), and 59,738 pre-coordinated headings (Chinese Classified Thesaurus, 2005) Major challenges of encoding this large vocabulary comes from its integrated structure. CCT is a result of the combination of two structures (illustrated in Figure 1): a thesaurus that uses ISO-2788 standardized structure and a classification scheme that is basically enumerative, but provides some flexibility for several kinds of synthetic mechanisms Other challenges include the complex relationships caused by differences of granularities of two original schemes and their presentation with various levels of SKOS elements; as well as the diverse coordination of entries due to the use of auxiliary tables and pre-coordinated headings derived from combining classes, subdivisions, and thesaurus terms, which do not correspond to existing unique identifiers. The poster reports the progress, shares the sample SKOS entries, and summarizes problems identified during the SKOS encoding process. Although OWL Lite and OWL Full provide richer expressiveness, the cost-benefit issues and the final purposes of encoding CCT raise questions of using such approaches.
- Source
- Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
