The Experts below are selected from a list of 300 Experts worldwide ranked by ideXlab platform
Hu P - One of the best experts on this subject based on the ideXlab platform.
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A Study of Chinese Text Summarization Based on Thematic Area Discovery
Computer Science, 2005Co-Authors: Hu PAbstract:Automatic summarization is an important issue in Natural Language Processing. This paper has proposed a special method that creates text summary by discovering Thematic Areas from Chinese text. The specificity of the method is that the created summary can both cover as many as different themes and reduce its redundancy obviously at the same time. And the discovery of latent Thematic Areas under the adaptive clustering of passages is realized by adopting k-medoids clustering method as well as a novel clustering analysis method based on self-defined objective function. In addition, a novel parameter,which is known as representation entropy,is used for summarization redun- dancy evaluation. Experimental results indicate that this method is effective and efficient in the automatic summariza- tion literature.
Isidro F Aguillo - One of the best experts on this subject based on the ideXlab platform.
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Describing national science and technology systems through a multivariate approach: country participation in the 6th Framework Programmes
Scientometrics, 2010Co-Authors: Jose Luis Ortega, Isidro F AguilloAbstract:The objective of this work is to describe the distribution of different types of participating organizations in the health Thematic Area of the 6th Framework Programme. A total of 2132 different organizations were classified according to four types and then grouped by country. A Principal Component Analysis (PCA) was carried out on the percentage of funding obtained by each type of organization. Results show a countries map plotted around the “private” and “public” principal components. It is observed that there are countries which research is basically performed by government research centres, while others are supported in the university activity. We conclude that the PCA is a suitable method to plot the distribution of research organizations by country and the results could be used as a tool for theoretical studies about the scientific activity in a country.
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shaping the european research collaboration in the 6th framework programme health Thematic Area through network analysis
Scientometrics, 2010Co-Authors: Jose Luis Ortega, Isidro F AguilloAbstract:This paper aims to analyse the collaboration network of the 6th Framework Programme of the EU, specifically the “Life sciences, genomics and biotechnology for health” Thematic Area. A collaboration network of 2,132 participant organizations was built and several variables were added to improve the visualization such as type of organization and nationality. Several statistical tests and structural indicators were used to uncover the main characteristic of this collaboration network. Results show that the network is constituted by a dense core of government research organizations and universities which act as large hubs that attract new partners to the network, mainly companies and non-profit organizations.
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Network collaboration in the 6th Framework Programmes: country participation in the health Thematic Area
Scientometrics, 2010Co-Authors: Jose Luis Ortega, Isidro F AguilloAbstract:This paper aims to explore the role of each country in the health Thematic Area of the 6th Framework Programme (6FP) of the EU. We try to explain how the collaborative research processes are generated in a research programme using social network analysis (SNA) tools. We have modelled a one-mode network set up by 2,132 organizations which participate in 601 research projects. This network was shrunk at the country level, obtaining a network of 31 countries. Results show that there is a strong relationship between R&D indicators and the structural position of each country in the network. The paper concludes that the SNA techniques are a suitable tool to assess the country performance in the EU research programmes.
Alasdair Reid - One of the best experts on this subject based on the ideXlab platform.
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Five decades of research on urban poverty: Main research communities, core knowledge producers, and emerging Thematic Areas
Journal of Cleaner Production, 2019Co-Authors: Anastasia Panori, Luca Mora, Alasdair ReidAbstract:Abstract Urban poverty represents one of the greatest and most urgent challenges that modern society is facing. The criticality of this global issue is represented by a rapidly growing body of academic literature which aims to explain the dynamics of urban poverty and promote effective and enduring solutions. However, despite many years of research, no studies have been conducted yet which reveal and analyze the overall intellectual structure of the urban poverty research field. In light of this gap, a bibliometric study was undertaken of 52 years of scientific literature on urban poverty (1965–2017). The bibliometric study combines author citation analysis and text-mining techniques to map the main research communities and core knowledge producers which are shaping the urban poverty research field and to identify the Thematic Areas that these communities are focusing attention on. The results of this investigation reveal a significant growth in the volume of academic literature produced post-1990, which is mainly driven by the collaborative efforts of five research communities, each of whom are seen to focus attention on a specific Thematic Area: (A) Policy-oriented research; (B) Urban poverty concentration; (C) The rise of poverty in Chinese cities; (D) Youth-behavioral and mental-health aspects of urban poverty; and (E) Urban poverty and health in the Sub-Saharan and Asian slum Areas. The practical relevance and scientific contribution of this study is evidenced in its capacity to assist those actors working to alleviate urban poverty, in particular research communities, governmental and inter-governmental institutions, and funding bodies. In addition to help them grasp the overall intellectual structure of the urban poverty research field, the insight offered by this study is instrumental in supporting the articulation of a global, action-oriented agenda for future interdisciplinary research on urban poverty.
Jose Luis Ortega - One of the best experts on this subject based on the ideXlab platform.
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Describing national science and technology systems through a multivariate approach: country participation in the 6th Framework Programmes
Scientometrics, 2010Co-Authors: Jose Luis Ortega, Isidro F AguilloAbstract:The objective of this work is to describe the distribution of different types of participating organizations in the health Thematic Area of the 6th Framework Programme. A total of 2132 different organizations were classified according to four types and then grouped by country. A Principal Component Analysis (PCA) was carried out on the percentage of funding obtained by each type of organization. Results show a countries map plotted around the “private” and “public” principal components. It is observed that there are countries which research is basically performed by government research centres, while others are supported in the university activity. We conclude that the PCA is a suitable method to plot the distribution of research organizations by country and the results could be used as a tool for theoretical studies about the scientific activity in a country.
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shaping the european research collaboration in the 6th framework programme health Thematic Area through network analysis
Scientometrics, 2010Co-Authors: Jose Luis Ortega, Isidro F AguilloAbstract:This paper aims to analyse the collaboration network of the 6th Framework Programme of the EU, specifically the “Life sciences, genomics and biotechnology for health” Thematic Area. A collaboration network of 2,132 participant organizations was built and several variables were added to improve the visualization such as type of organization and nationality. Several statistical tests and structural indicators were used to uncover the main characteristic of this collaboration network. Results show that the network is constituted by a dense core of government research organizations and universities which act as large hubs that attract new partners to the network, mainly companies and non-profit organizations.
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Network collaboration in the 6th Framework Programmes: country participation in the health Thematic Area
Scientometrics, 2010Co-Authors: Jose Luis Ortega, Isidro F AguilloAbstract:This paper aims to explore the role of each country in the health Thematic Area of the 6th Framework Programme (6FP) of the EU. We try to explain how the collaborative research processes are generated in a research programme using social network analysis (SNA) tools. We have modelled a one-mode network set up by 2,132 organizations which participate in 601 research projects. This network was shrunk at the country level, obtaining a network of 31 countries. Results show that there is a strong relationship between R&D indicators and the structural position of each country in the network. The paper concludes that the SNA techniques are a suitable tool to assess the country performance in the EU research programmes.
Vivek Singh - One of the best experts on this subject based on the ideXlab platform.
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A Sciento-text framework to characterize research strength of institutions at fine-grained Thematic Area level
Scientometrics, 2016Co-Authors: Ashraf Uddin, Jaideep Bhoosreddy, Marisha Tiwari, Vivek SinghAbstract:This paper presents a Sciento-text framework to characterize and assess research performance of leading world institutions in fine-grained Thematic Areas. While most of the popular university research rankings rank universities either on their overall research performance or on a particular subject, we have tried to devise a system to identify strong research centres at a more fine-grained level of research themes of a subject. Computer science (CS) research output of more than 400 universities in the world is taken as the case in point to demonstrate the working of the framework. The Sciento-text framework comprises of standard scientometric and text analytics components. First of all every research paper in the data is classified into different Thematic Areas in a systematic manner and then standard scientometric methodology is used to identify and assess research strengths of different institutions in a particular research theme (say Artificial Intelligence for CS domain). The performance of framework components is evaluated and the complete system is deployed on the Web at url: www.universityselectplus.com. The framework is extendable to other subject domains with little modification.
