Analyzing mass information and supporting insight based on analysis results are very important work but it needs much effort and time. Information analysis and future prediction about science and IT filed data are also very critical tasks for researchers, government officers, businessman, etc. Therefore, in this paper, we propose technology opportunity discovery (TOD) model based on feature selection and decision making for effective, systematic, and objective information analysis and future forecasting of science and IT field. Continue reading Design of TOD Model for Information Analysis and Future Prediction
Category Archives: Research Type
Composing technology roadmapping according to bibliometrics: hybrid model and empirical study
Technology roadmapping is considered a powerful instrument for technology assessment and forecasting, and the composing model for technology roadmapping is also a hot topic in the field of technology visualization. This paper tries to introduce a bibliometric method involving with terms frequency analysis and association analysis to construct the objects and their relationships in the technology roadmapping, and blend with expert knowledge to locate each object in the appropriate layer and time interval. Continue reading Composing technology roadmapping according to bibliometrics: hybrid model and empirical study
Technology Prospecting on Enzymes for the Pulp and Paper Industry
The use of enzymes in the pulp and paper industry was introduced in the 1986. However, their use has been relatively minor. This prospective study aims at enhancing the understanding of the most important advances regarding the use of enzymes in this industry and to identify the future trends of this technology. Information gathered from the Web of Science shows a growing number of papers published on this topic indicating an increased interest in this issue. A study on patents also displayed a high number documents related to this technology. Cellulase, xylanase, laccase and lipase are the most important enzymes that can be used in the pulp and paper processes. Furthermore, the key objectives of enzymes development have been in the bleaching boosting with xylanases and fiber modification with cellulases. The current and future trends on the development of enzymes are focused on increasing their thermostability and their alkalinity strength. Continue reading Technology Prospecting on Enzymes for the Pulp and Paper Industry
Socio-Economic Status and Citizen Participation in Crowdsourced Government
Extended Abstract – MINING NOVEL DATA SOURCES session at “1st Global TechMining Conference” 2011
Author(s): Benjamin Y. Clark, Sung-Gheel Jang, Jeffrey Brudney (University of Cleveland)
New technologies are allowing governments to harness a complex flow of data to address a vast array of problems by using the public’s collective wisdom. Through such “crowdsourcing,” governments are able to collect citizen-generated data in “311” systems—i.e., quasi-“411” systems that allow citizens to provide non-emergency information and requests directly to governments via advanced telephone systems. The primary goal of this research is to investigate the distributional impacts of governments relying upon 311 systems to allocate resources. Our analysis is based on one year of service requests in the City of Boston—from February 2010 to February 2011. Continue reading Socio-Economic Status and Citizen Participation in Crowdsourced Government
Upgrading the Quality of Science: Does Funding Source Matter?
Extended Abstract – MINING NOVEL DATA SOURCES session at “1st Global TechMining Conference” 2011
Author(s): Abdullah Gök and Philip Shapira (University of Manchester)
This paper examines the effect of differential and multiple funding on the quality of science in the Czech Republic. We explore several propositions. Firstly, we investigate whether European Union research sponsorship is changing the field orientation of Czech science, compared with the structural long-term trend of change since 1980. Secondly, we ask whether the European Union research sponsorship has had a positive influence on the quality of Czech scientific papers compared with other national and international funding sources. Our measures of quality include accrued citations and journal impact factors. Continue reading Upgrading the Quality of Science: Does Funding Source Matter?
Funding Acknowledgement Analysis – An Enhanced Tool to Investigate Research Sponsorship Impacts
Extended Abstract – MINING NOVEL DATA SOURCES session at “1st Global TechMining Conference” 2011
Author(s): Jue Wang (Florida International University) and Philip Shapira (University of Manchester)
There is increasing interest in assessing how sponsored research funding influences the development and trajectory of science and technology. Traditionally, linkages between research funding and subsequent results are hard to track, often requiring access to separate funding or performance reports released by researchers or sponsors. Tracing research sponsorship and output linkages is even more challenging when researchers receive multiple funding awards and collaborate with a variety of differentially-sponsored research colleagues. Continue reading Funding Acknowledgement Analysis – An Enhanced Tool to Investigate Research Sponsorship Impacts
Text-mining and visualization using VOSviewer
Extended Abstract – NEW S,T&I VISUALIZATIONS session at “1st Global TechMining Conference” 2011
Author(s): Nees Jan van Eck and Ludo Waltman (Centre for Science and Technology Studies, Leiden University)
VOSviewer is a computer program that we have developed for constructing, visualizing, and exploring bibliometric maps of science (Van Eck & Waltman, 2010). The program is freely available on www.vosviewer.com. VOSviewer can be used for analyzing all kinds of bibliometric network data, for instance citation relations between publications or journals, collaboration relations between researchers, and cooccurrence relations between scientific terms. In this abstract, we focus on the use of VOSviewer for text mining purposes, in particular for analyzing large amounts of text data using so-called term maps. Continue reading Text-mining and visualization using VOSviewer
Learning to Play the Game: An Enhanced Indicator to Investigate Graduate Training Programs in Science and Engineering
Extended Abstract – NEW INDICATORS session at “1st Global TechMining Conference” 2011
Author(s):Julia Melkers, Diego Pinheiro, Jan Youtie, (School of Public Policy, Georgia Institute of Technology)
The need to encourage future generations of students in the pursuit of science and technological research has been viewed as a cornerstone of US efforts to maintain leadership in research, development, and innovation. However, few indicators of student intellectual activity at the graduate level are tracked on an ongoing basis. The aim of this paper is to provide evidence about graduate student publishing as an indicator of pre-doctoral research activity and, given the benefits of cumulative advantage to early producers of intellectual output, future scholarly success. Continue reading Learning to Play the Game: An Enhanced Indicator to Investigate Graduate Training Programs in Science and Engineering
Using TechMining for designing research policy in a Colombian Higher Education Institution
Extended Abstract – NEW INDICATORS session at “1st Global TechMining Conference” 2011
Author(s):Jenny Marcela Sanchez-Torres (Universidad Nacional de Colombia)
The most important Higher Education Institution –HEI- of Colombia has designed a model for measuring its R&D activities which has a set of indicators, some of them are calculated using techmining techniques. Its results as used as input for formulating and implementing R&D policies. This paper shows this experience. Continue reading Using TechMining for designing research policy in a Colombian Higher Education Institution
Predicting Breakthrough Papers: Ranking Statistics, Patterns, and Visualization
Extended Abstract – NEW INDICATORS session at “1st Global TechMining Conference” 2011
Author(s): Ilya V. Ponomarev, Duane E. Williams, Joshua Schnell, Laurel L. Haak
Research progress may be either gradual or abrupt. While both ways are important, major advances in science strongly depend upon explosive breakthrough discoveries. Currently, analyses of emerging or breakthrough areas are rarely performed systematically and are almost always done retrospectively. We have developed several strategies for early detection of candidate breakthroughs, based on citation dynamics. Our findings can be used to inform portfolio planning practices and research management policies. Continue reading Predicting Breakthrough Papers: Ranking Statistics, Patterns, and Visualization