Tag Archives: 2011

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

Detecting domain dynamics: Association Rule Extraction and diachronic clustering techniques in support of expertise

Extended Abstract – EXTENDING TECHMINING METHODS session at “1st Global TechMining Conference” 2011

Author(s): Ivana Roche, Maha Ghribi, Nathalie Vedovotto, Claire François, Dominique Besagni, Pascal Cuxac (INIST-CNRS); and Dirk Holste, Marianne Hörlesberger, Edgar Schiebel (Austrian Institute of Technology)

Identifying the evolution trends of a scientific domain can be hugely interesting for the scientific research policy makers. The evolutions of a scientific domain can be studied by associating clustering techniques, generating a representation of the publication scientific landscape based on its extracted terminology, with a diachronic analysis of clustering results obtained at two different times. This work, developed in the context of a European project, aims to propose an alternative way by producing an assisted diachronic analysis of clustering results decreasing the load of the expertise phase. Continue reading Detecting domain dynamics: Association Rule Extraction and diachronic clustering techniques in support of expertise

Analyzing Metrics for Tech Mining Methodologies

Extended Abstract – EXTENDING TECHMINING METHODS session at “1st Global TechMining Conference” 2011

Author(s): ARHO SUOMINEN (University of Turku)

What measures or metrics of technological development are visible and practically attainable within bibliometric data? Are the metrics attained objective, reproducible and valid across a variety of technologies? Continue reading Analyzing Metrics for Tech Mining Methodologies

Using Bibliographic Coupling as a Measure of Centerness in R&D Assessment

Extended Abstract – EXTENDING TECHMINING METHODS session at “1st Global TechMining Conference” 2011

Author(s):Jan Youtie, Julia Melkers, Luciano Kay (Georgia Institute of Technology)

This paper explores the use of bibliometrics in R&D assessment. In particular, we put forth a bibliographic-coupling based indicator as a measure of “centerness” and present its characteristics relative to the experience of an NSF science center. Continue reading Using Bibliographic Coupling as a Measure of Centerness in R&D Assessment

Profiling Science & Innovation Policy by Object-based Computing

Extended Abstract – MINING NOVEL DATA SOURCES   session at “1st Global TechMining Conference” 2011

Author(s): Zhang Zhixiong, Liu Jianhua, Xie Jing, Zou Yimin (Chinese Academy of Science)

Myriad named entities such as science strategies and policies, key initiatives & research
programs, key research institutes researchers and scientists are embedded in many web
pages from various science & innovation institutes. The authors refer to these named entities about science & innovation activities as research objects. Usually, these research objects carry the core information of the web pages and are valuable for automatically extracting intelligence from web pages. Hence, It is one of the most important questions that how to dig these knowledge units from these resources and how to use the knowledge to support deep intelligence analysis. In this paper, the authors bring forth a method using object-based computing for profiling science & innovation policies of some key national scientific administrative offices, research councils, funding agencies, and leading research institutes. Continue reading Profiling Science & Innovation Policy by Object-based Computing

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