Edgar Schiebel - Academia.edu (original) (raw)

Papers by Edgar Schiebel

International Journal of Technology Management

Http Dx Doi Org 10 1080 09737766 2013 832902, Feb 5, 2014

ABSTRACT This work discusses a methodology for measuring the applied orientation, which we call “... more ABSTRACT This work discusses a methodology for measuring the applied orientation, which we call “applicateness”, of the results published by a researcher in the scientific and technological literature, and applies this methodology to evaluate the potential applicability of a research project submitted for funding to a grant agency. Our methodology develops a content analysis approach operated with the help of text mining tools coming from the natural language processing (NLP) and clustering techniques. Its deployment aims at easing the workload of the final stage of expertise, which nevertheless remains necessary. We illustrate our approach by processing a real case coming from the grant applications of the main European funding agency that has established a selection process based on the identification of scientific excellence in frontier research as the sole evaluation criterion for funding decisions.

ABSTRACT The World Wide Web is open to everybody who has access to the Internet. A posted documen... more ABSTRACT The World Wide Web is open to everybody who has access to the Internet. A posted document or link is available to hundreds of millions of people. It is assumed that Cyberspace is a forum of democracy. Everybody's voice can be heard. Albert-Laszlo Barabsi, however, states in "Linked" (2002, Penguin Group) that there is a complete absence of democracy, fairness, and equality in the World Wide Web. A link or a document cannot be found easily. The measure of visibility on the Web is the number of links. To analyse the linkage behaviour is a question of structure. Network Analysis methods have been developed for investigating structures in social co-operation and networks. Such methods are used and adapted for analysing networks in the World Wide Web. In this contribution we focus on the analysis of linkages in the fields of biotechnology and information science in the World Wide Web and on the visualisation of their Web-networks. For visualisation we use the method BibTechMon TM . We try to find answers to the questions: Which indicators are adequate for the analysis and can be visualised? Which difference in linkage behaviour is there between the fields of biotechnology and information science in the World Wide Web? How did patterns change from year 2001 to 2002? We are analysing the Web-sites of the universities and research institutes of the European member states of the years 2001 and 2002. The investigated data are generated automatically by a tool developed by Isidro F. Aguillo CINDOC-CSIC Madrid, Spain.

Proceedings of the 4th International Conference on Practical Aspects of Knowledge Management, 2002

... The interaction helps trigger interesting questions crucial to the exploration of the ... bas... more ... The interaction helps trigger interesting questions crucial to the exploration of the ... based structuring of the information, the identification of subtopics, the visualisation of the ... Readiness to Adopt Data Mining Technologies: An Exploratory Study of Telecommunication Employees in ...

Spie Proceedings Series, 2002

One of the well known relational bibliometric methods is the co-word analysis. The co-occurrence ... more One of the well known relational bibliometric methods is the co-word analysis. The co-occurrence of words can be illustrated in a matrix. By the means of various mathematical methods like cluster analysis and others the matrix can be illustrated in a two-dimensional science-map that represents a well structured rendition of information. The key question of this paper is how can different objects e.g. key-words and authors or institutions be linked by co-word analysis. In bibliographic documents key-words, authors and institutions are elements of each document. Thus we can talk of a direct linkage between these objects according to the joint occur in one document. The properties of one author to appear with certain keywords in certain articles allows a linkage over the documents. Indirect linkage can be found if documents, raised from the connection between authors and key-words, are eliminated in the functional relationship and new networks are generated which show an indirect linkage of authors on the basis of keywords. This paper will show a method how different networks can be linked directly and indirectly by using co-word analysis. The combination of content maps by co-word analysis will be shown using a technology monitoring concerning fuel cells.

One of the well known relational bibliometric methods is the co-word analysis. The co-occurrence ... more One of the well known relational bibliometric methods is the co-word analysis. The co-occurrence of words can be illustrated in a matrix. By the means of various mathematical methods like cluster analysis and others the matrix can be illustrated in a two-dimensional science-map that represents a well structured rendition of information. The key question of this paper is how can

Scientometrics, Apr 1, 2013

Collnet Journal of Scientometrics and Information Management, 2014

ABSTRACT In this study our aim was to characterize the role of a scientific journal as a vector f... more ABSTRACT In this study our aim was to characterize the role of a scientific journal as a vector for the transfer of knowledge between different research communities. To detect the size and extent of a journal's readership, we used citation analysis of two scientific corpora constructed around the production of one journal. The first was made up ofex antereferences or references cited in the bibliographies of all the articles published in the journal over a given year of publication while the second consisted of the articles’ex postreferences - subsequent works which cite them. Both corpora underwent a stage of clustering which produced a theme-based representation of the contents made possible by automatic indexing. Computer-aided thematic categorization validated by an expert gave a representation of both corpora through a vector of categories each element which indicated the level of representativity of the category in the corpus. A role indicator was then defined based on a calculation of cosine similarity between the two vectors of categories associated with the journal. This indicator qualified the behaviour of the journal in terms of a transfer vector for knowledge. The case study involved two journals in the field of Information and Communication Sciences and Technologies

Optoelectronic Devices and Properties, 2011

Collnet Journal of Scientometrics and Information Management, 2013

ABSTRACT This work discusses a methodology for measuring the applied orientation, which we call “... more ABSTRACT This work discusses a methodology for measuring the applied orientation, which we call “applicateness”, of the results published by a researcher in the scientific and technological literature, and applies this methodology to evaluate the potential applicability of a research project submitted for funding to a grant agency. Our methodology develops a content analysis approach operated with the help of text mining tools coming from the natural language processing (NLP) and clustering techniques. Its deployment aims at easing the workload of the final stage of expertise, which nevertheless remains necessary. We illustrate our approach by processing a real case coming from the grant applications of the main European funding agency that has established a selection process based on the identification of scientific excellence in frontier research as the sole evaluation criterion for funding decisions.

Scientometrics, 2012

In this work the well known scientometric concepts of bibliographically coupled publications and ... more In this work the well known scientometric concepts of bibliographically coupled publications and co-cited references were applied to produce interactive maps of research fronts and knowledge bases of research fields. This article proposes a method and some standardization for the detection and visualization of research fronts and knowledge bases with two and three dimensional graphics inspired by geographical maps. Agglomerations of bibliographically coupled publications with a common knowledge base are identified and graphically represented by a density function of publications per area unit. The research fronts become visible if publications with similar vectors of common citations are associated and visualized as an ensemble in a three dimensional graphical representation as a mountain scenery measured with the help of a spatial density. Knowledge bases were calculated in the same way. Maps similar to the geographic representation of oceans and islands are used to visualize the twodimensional spatial density function of references weighted by individual links. The proposed methodology is demonstrated by publications in the field of battery research.

International Journal of Technology Management

Http Dx Doi Org 10 1080 09737766 2013 832902, Feb 5, 2014

ABSTRACT This work discusses a methodology for measuring the applied orientation, which we call “... more ABSTRACT This work discusses a methodology for measuring the applied orientation, which we call “applicateness”, of the results published by a researcher in the scientific and technological literature, and applies this methodology to evaluate the potential applicability of a research project submitted for funding to a grant agency. Our methodology develops a content analysis approach operated with the help of text mining tools coming from the natural language processing (NLP) and clustering techniques. Its deployment aims at easing the workload of the final stage of expertise, which nevertheless remains necessary. We illustrate our approach by processing a real case coming from the grant applications of the main European funding agency that has established a selection process based on the identification of scientific excellence in frontier research as the sole evaluation criterion for funding decisions.

ABSTRACT The World Wide Web is open to everybody who has access to the Internet. A posted documen... more ABSTRACT The World Wide Web is open to everybody who has access to the Internet. A posted document or link is available to hundreds of millions of people. It is assumed that Cyberspace is a forum of democracy. Everybody's voice can be heard. Albert-Laszlo Barabsi, however, states in "Linked" (2002, Penguin Group) that there is a complete absence of democracy, fairness, and equality in the World Wide Web. A link or a document cannot be found easily. The measure of visibility on the Web is the number of links. To analyse the linkage behaviour is a question of structure. Network Analysis methods have been developed for investigating structures in social co-operation and networks. Such methods are used and adapted for analysing networks in the World Wide Web. In this contribution we focus on the analysis of linkages in the fields of biotechnology and information science in the World Wide Web and on the visualisation of their Web-networks. For visualisation we use the method BibTechMon TM . We try to find answers to the questions: Which indicators are adequate for the analysis and can be visualised? Which difference in linkage behaviour is there between the fields of biotechnology and information science in the World Wide Web? How did patterns change from year 2001 to 2002? We are analysing the Web-sites of the universities and research institutes of the European member states of the years 2001 and 2002. The investigated data are generated automatically by a tool developed by Isidro F. Aguillo CINDOC-CSIC Madrid, Spain.

Proceedings of the 4th International Conference on Practical Aspects of Knowledge Management, 2002

... The interaction helps trigger interesting questions crucial to the exploration of the ... bas... more ... The interaction helps trigger interesting questions crucial to the exploration of the ... based structuring of the information, the identification of subtopics, the visualisation of the ... Readiness to Adopt Data Mining Technologies: An Exploratory Study of Telecommunication Employees in ...

Spie Proceedings Series, 2002

One of the well known relational bibliometric methods is the co-word analysis. The co-occurrence ... more One of the well known relational bibliometric methods is the co-word analysis. The co-occurrence of words can be illustrated in a matrix. By the means of various mathematical methods like cluster analysis and others the matrix can be illustrated in a two-dimensional science-map that represents a well structured rendition of information. The key question of this paper is how can different objects e.g. key-words and authors or institutions be linked by co-word analysis. In bibliographic documents key-words, authors and institutions are elements of each document. Thus we can talk of a direct linkage between these objects according to the joint occur in one document. The properties of one author to appear with certain keywords in certain articles allows a linkage over the documents. Indirect linkage can be found if documents, raised from the connection between authors and key-words, are eliminated in the functional relationship and new networks are generated which show an indirect linkage of authors on the basis of keywords. This paper will show a method how different networks can be linked directly and indirectly by using co-word analysis. The combination of content maps by co-word analysis will be shown using a technology monitoring concerning fuel cells.

One of the well known relational bibliometric methods is the co-word analysis. The co-occurrence ... more One of the well known relational bibliometric methods is the co-word analysis. The co-occurrence of words can be illustrated in a matrix. By the means of various mathematical methods like cluster analysis and others the matrix can be illustrated in a two-dimensional science-map that represents a well structured rendition of information. The key question of this paper is how can

Scientometrics, Apr 1, 2013

Collnet Journal of Scientometrics and Information Management, 2014

ABSTRACT In this study our aim was to characterize the role of a scientific journal as a vector f... more ABSTRACT In this study our aim was to characterize the role of a scientific journal as a vector for the transfer of knowledge between different research communities. To detect the size and extent of a journal's readership, we used citation analysis of two scientific corpora constructed around the production of one journal. The first was made up ofex antereferences or references cited in the bibliographies of all the articles published in the journal over a given year of publication while the second consisted of the articles’ex postreferences - subsequent works which cite them. Both corpora underwent a stage of clustering which produced a theme-based representation of the contents made possible by automatic indexing. Computer-aided thematic categorization validated by an expert gave a representation of both corpora through a vector of categories each element which indicated the level of representativity of the category in the corpus. A role indicator was then defined based on a calculation of cosine similarity between the two vectors of categories associated with the journal. This indicator qualified the behaviour of the journal in terms of a transfer vector for knowledge. The case study involved two journals in the field of Information and Communication Sciences and Technologies

Optoelectronic Devices and Properties, 2011

Collnet Journal of Scientometrics and Information Management, 2013

ABSTRACT This work discusses a methodology for measuring the applied orientation, which we call “... more ABSTRACT This work discusses a methodology for measuring the applied orientation, which we call “applicateness”, of the results published by a researcher in the scientific and technological literature, and applies this methodology to evaluate the potential applicability of a research project submitted for funding to a grant agency. Our methodology develops a content analysis approach operated with the help of text mining tools coming from the natural language processing (NLP) and clustering techniques. Its deployment aims at easing the workload of the final stage of expertise, which nevertheless remains necessary. We illustrate our approach by processing a real case coming from the grant applications of the main European funding agency that has established a selection process based on the identification of scientific excellence in frontier research as the sole evaluation criterion for funding decisions.

Scientometrics, 2012

In this work the well known scientometric concepts of bibliographically coupled publications and ... more In this work the well known scientometric concepts of bibliographically coupled publications and co-cited references were applied to produce interactive maps of research fronts and knowledge bases of research fields. This article proposes a method and some standardization for the detection and visualization of research fronts and knowledge bases with two and three dimensional graphics inspired by geographical maps. Agglomerations of bibliographically coupled publications with a common knowledge base are identified and graphically represented by a density function of publications per area unit. The research fronts become visible if publications with similar vectors of common citations are associated and visualized as an ensemble in a three dimensional graphical representation as a mountain scenery measured with the help of a spatial density. Knowledge bases were calculated in the same way. Maps similar to the geographic representation of oceans and islands are used to visualize the twodimensional spatial density function of references weighted by individual links. The proposed methodology is demonstrated by publications in the field of battery research.

In this article the value of Twitter data analysis for a strategic foresight exercise is discusse... more In this article the value of Twitter data analysis for a strategic foresight exercise is discussed. The article offers an overview of Twitter's basic functionalities, previous Twitter research and related studies on using Twitter in foresight projects to date. Based on this knowledge the case of the EU research project "Foresight and Modelling for European Health Policy and Regulations" (FRESHER) is used to conduct a Twitter data analysis in three steps: an analysis of web-links to get insights into the content spread via Twitter, a social network analysis to define central actors in a Twitter debate, and a hashtag-analysis to find out which topics are discussed and to support the identification of drivers of noncommunicable diseases. The article shows the benefit a Twitter data analysis provides for the FRESHER project and reveals implications for future research in this field.