caa a22 4500 475799402 CHVBK 20180406123733.0 cr unu---uuuuu 170329e20000901xx s 000 0 eng 10.1023/A:1008777222412 doi (NATIONALLICENCE)springer-10.1023/A:1008777222412 Textual Data Mining to Support Science and Technology Management [Elektronische Daten] [Paul Losiewicz, Douglas Oard, Ronald Kostoff] This paper surveys applications of data mining techniques to large text collections, and illustrates how those techniques can be used to support the management of science and technology research. Specific issues that arise repeatedly in the conduct of research management are described, and a textual data mining architecture that extends a classic paradigm for knowledge discovery in databases is introduced. That architecture integrates information retrieval from text collections, information extraction to obtain data from individual texts, data warehousing for the extracted data, data mining to discover useful patterns in the data, and visualization of the resulting patterns. At the core of this architecture is a broad view of data mining—the process of discovering patterns in large collections of data—and that step is described in some detail. The final section of the paper illustrates how these ideas can be applied in practice, drawing upon examples from the recently completed first phase of the textual data mining program at the Office of Naval Research. The paper concludes by identifying some research directions that offer significant potential for improving the utility of textual data mining for research management applications. Kluwer Academic Publishers, 2000 text data mining nationallicence information retrieval nationallicence knowledge discovery in databases nationallicence bibliometrics nationallicence computational linguistics nationallicence Losiewicz Paul ACS Defense, Inc., Rome, NY aut Oard Douglas College of Library and Information Services, University of Maryland, College Park, MD aut Kostoff Ronald Office of Naval Research, Arlington, VA aut Journal of Intelligent Information Systems Kluwer Academic Publishers 15/2(2000-09-01), 99-119 0925-9902 15:2<99 2000 15 10844 https://doi.org/10.1023/A:1008777222412 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1008777222412 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Losiewicz Paul ACS Defense, Inc., Rome, NY aut NATIONALLICENCE 700 1- Oard Douglas College of Library and Information Services, University of Maryland, College Park, MD aut NATIONALLICENCE 700 1- Kostoff Ronald Office of Naval Research, Arlington, VA aut NATIONALLICENCE 773 0- Journal of Intelligent Information Systems Kluwer Academic Publishers 15/2(2000-09-01), 99-119 0925-9902 15:2<99 2000 15 10844 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer