The Experts below are selected from a list of 65688 Experts worldwide ranked by ideXlab platform
Quan Lin - One of the best experts on this subject based on the ideXlab platform.
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name disambiguation in Scientific Cooperation network by exploiting user feedback
Artificial Intelligence Review, 2014Co-Authors: Aiming Wen, Quan LinAbstract:Name disambiguation is a very critical problem in Scientific Cooperation network. Ambiguous author names may occur due to the existence of multiple authors with the same name. Despite much research work has been conducted, the problem is still not resolved and becomes even more serious. In this paper, we focus ourselves on such problem. A method of exploiting user feedback for name disambiguation in Scientific Cooperation network is proposed, which can make use of user feedback to enhance the performance. Furthermore, to make the user feedback more effective, we divide user feedback into three types and assign different weights to them. To evaluate the effectiveness of our proposed method, experiments are conducted with standard public collections. We compare the performance of our proposal with baseline methods. Results show that the proposed algorithm outperforms the previous methods without introducing user interactions. Besides, we investigate into how different types of user feedback can affect the disambiguation results.
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Incorporating User Feedback into Name Disambiguation of Scientific Cooperation Network
Web-Age Information Management (Lecture Notes in Computer Science), 2011Co-Authors: Yuhua Li, SHIGERU OYAMA, Aiming Wen, Quan Lin, Zhengding Lu, Shijun Li, Xiaohua Hu, Ruixuan Li, Haixun Wang, Tieyun QianAbstract:In Scientific Cooperation network, ambiguous author names may occur due to the existence of multiple authors with the same name. Users of these networks usually want to know the exact author of a paper, whereas we do not have any unique identifier to distinguish them. In this paper, we focus ourselves on such problem, we propose a new method that incorporates user feedback into the model for name disambiguation of Scientific Cooperation network. Perceptron is used as the classifier. Two features and a constraint drawn from user feedback are incorporated into the perceptron to enhance the performance of name disambiguation. Specifically, we construct user feedback as a training stream, and refine the perceptron continuously. Experimental results show that the proposed algorithm can learn continuously and significantly outperforms the previous methods without introducing user interactions.
Aiming Wen - One of the best experts on this subject based on the ideXlab platform.
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name disambiguation in Scientific Cooperation network by exploiting user feedback
Artificial Intelligence Review, 2014Co-Authors: Aiming Wen, Quan LinAbstract:Name disambiguation is a very critical problem in Scientific Cooperation network. Ambiguous author names may occur due to the existence of multiple authors with the same name. Despite much research work has been conducted, the problem is still not resolved and becomes even more serious. In this paper, we focus ourselves on such problem. A method of exploiting user feedback for name disambiguation in Scientific Cooperation network is proposed, which can make use of user feedback to enhance the performance. Furthermore, to make the user feedback more effective, we divide user feedback into three types and assign different weights to them. To evaluate the effectiveness of our proposed method, experiments are conducted with standard public collections. We compare the performance of our proposal with baseline methods. Results show that the proposed algorithm outperforms the previous methods without introducing user interactions. Besides, we investigate into how different types of user feedback can affect the disambiguation results.
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Incorporating User Feedback into Name Disambiguation of Scientific Cooperation Network
Web-Age Information Management (Lecture Notes in Computer Science), 2011Co-Authors: Yuhua Li, SHIGERU OYAMA, Aiming Wen, Quan Lin, Zhengding Lu, Shijun Li, Xiaohua Hu, Ruixuan Li, Haixun Wang, Tieyun QianAbstract:In Scientific Cooperation network, ambiguous author names may occur due to the existence of multiple authors with the same name. Users of these networks usually want to know the exact author of a paper, whereas we do not have any unique identifier to distinguish them. In this paper, we focus ourselves on such problem, we propose a new method that incorporates user feedback into the model for name disambiguation of Scientific Cooperation network. Perceptron is used as the classifier. Two features and a constraint drawn from user feedback are incorporated into the perceptron to enhance the performance of name disambiguation. Specifically, we construct user feedback as a training stream, and refine the perceptron continuously. Experimental results show that the proposed algorithm can learn continuously and significantly outperforms the previous methods without introducing user interactions.
Anja Richert - One of the best experts on this subject based on the ideXlab platform.
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Scientific Cooperation engineering
2017Co-Authors: Sabina Jeschke, Anja Richert, Wolfgang Bleck, Gunther Schuh, Wolfgang Schulz, Martina Ziefle, Andre Brakling, Andre Calero Valdez, Kirsten Dahmen, Ulrich JansenAbstract:Scientific Cooperation Engineering researches, fosters and supports Scientific Cooperation on all hierarchical levels and beyond Scientific disciplines as a key resource for innovation in the Cluster of Excellence. State-of-the-art research methods—such as structural equation models, success models, or studies on success factors—that are frequently used in IS research are applied to create profound knowledge and insights in the contribution and optimal realization of Scientific inter and trans-disciplinary communication and Cooperation. A continuous formative evaluation is used to derive and explore insights into interdisciplinary collaboration and innovation processes from a management perspective. In addition, actor-based empirical studies are carried out to explore critical factors for interdisciplinary Cooperation and intercultural diversity management. Based on these results, workflows, physical networking events and tailor-made training programs are created and iteratively optimized towards the cluster’s needs. As Scientific Cooperation Engineering aims to gain empirical and data-driven knowledge, a Scientific Cooperation Portal and a prototypic flowchart application are under development to support workflows and project management. Furthermore, data science methods are currently implemented to recognize synergetic patterns based on bibliometric information and topical proximity, which is analyzed via project terminologies.
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enhancing Scientific Cooperation of an interdisciplinary cluster of excellence via a Scientific Cooperation portal
2016Co-Authors: Tobias Vaegs, Florian Welter, Andre Calero Valdez, Ulrich Jansen, Anne Kathrin Schaar, Andre Breakling, Susanne Aghassi, Thomas Thiele, Claudia Joos, Anja RichertAbstract:In the Cluster of Excellence (CoE) “Integrative Production Technology for High-Wage countries” at RWTH Aachen University, scientists from different institutions investigate interdisciplinary ways to solve the polylemma’s tradeoffs between scale and scope as well as between plan and value oriented production. Next to the CoE’s four Scientific subfields – the Integrative Cluster Domains (ICDs) – there are three additional subprojects performing cross sectional research and providing means for physical and virtual cross-linkage, the Cross Sectional Processes (CSP). Scientific Cooperation in such a large and diverse consortium – as a meta-structure to the structures present in the member institutes – poses many challenges. To tackle these, an online learning and collaboration platform is developed, called the “Scientific Cooperation Portal”, to optimize the cluster-wide Cooperation process. Technically building on the Liferay framework, the portal provides basic features like a member list and an event calendar as well as functionalities to help cluster members to gain a deeper understanding of the CoE’s current state regarding the diversity in interdisciplinary terminology, patterns in publication relationships, knowledge management and developed technologies.
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Scientific Cooperation engineering in the cluster of excellence integrative production technology for high wage countries at rwth aachen university
ICERI2012 Proceedings, 2014Co-Authors: Claudia Joos, Florian Welter, Anja Richert, Andre Calero Valdez, Ulrich Jansen, Anne Kathrin Schaar, Ingo Leisten, Evamaria Nick, Ulrich Prahl, Wolfgang SchulzAbstract:Interdisciplinary Scientific Cooperation plays a decisive role for the generation of new knowledge. The augmenting dynamic and complexity of Scientific forms of Cooperation require new approaches for interlinking people and knowledge from different disciplines to enable people for succeeding in interdisciplinary Cooperation. Concerning the case of the cluster of excellence Integrative Production Technology for High-Wage Countries at RWTH Aachen University this challenge is addressed by cross sectional processes (CSP). CSP are supporting networking processes and strategic cluster development by means of learning and knowledge management. Through cross-sectional activities, a new method for knowledge and organizational development was identified – Scientific Cooperation engineering. It aspires to support the transfer of highly complex, dynamic and interdisciplinary research Cooperation into sustainable and robust structures. The design of Scientific Cooperation engineering will be outlined in this position paper.
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cluster terminologies for promoting interdisciplinary Scientific Cooperation in clusters of excellence
INTED2013 Proceedings, 2014Co-Authors: Tobias Vaegs, Florian Welter, Anja Richert, Claudia Joos, Ingo Leisten, Sabina JeschkeAbstract:Scientific collaboration is getting more and more complex and interdisciplinary, which is even demanded by many research funding sources (Bryson, Studies for Innovation in a Modern Working Environment. International Monitoring, 2009). Good examples are the clusters of excellence supported by the German Research Foundation, consisting of many local institutions investigating a common research question from multidisciplinary perspectives. In such networks it is important to have structures that support the Cooperation of researchers and the information exchange among them to reveal potential synergies and help exploiting those (Sydow, Management von Netzwerkorganisationen. Beitrage aus der „Managementforschung“, 2010). There are already a variety of tools available to assist collaboration in large businesses. However, there exists a lack of software, which is tailored to the specific needs of Scientific Cooperation structures. This demand is met by our Scientific Cooperation Platform (SCP). As part of the SCP the Cluster Terminologies application tackles the understanding between different Scientific fields, i.e. differing terminologies. Our first goal is to capture the current state of terminologies in the cluster by gathering and visualizing information about which terms are used with what definition by whom in the cluster. This will raise awareness of where Cooperation like interdisciplinary publications can lead to misunderstandings or the necessity to clarify a common terminology beforehand. The second step is to foster discussions about the terminology among the cluster members both in an informal manner as well as in specific workshops. Definitions for some terms will become clearer in this process, which can even lead to an ‘official’ cluster-wide definition. For other terms maybe at least an agreement among members from the same field can be achieved. However, for terms, which simply have significantly different meanings in different research fields, the main benefit in the SCP lies in the advanced understanding of the differing terminologies.
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The Challenge of Scientific Cooperation in Large Complex Research Clusters - Experiences from the Cluster of Excellence "Integrative Production Technology for High-Wage Countries"
Proceedings of the European Conference on Knowledge Management ECKM, 2011Co-Authors: Claudia Joo??, Florian Welter, Anja Richert, Sabrina JeschkeAbstract:The initiation of so called Clusters of Excellence constitutes a\nmilestone with regard to Germany's efforts to foster integrative and\ninterdisciplinary research. Clusters of Excellence constitute spatially\nconcentrated research networks including about 20 university institutes,\nnon-university research institutes as well as further selected partners\nand advisors from industry and science. The heterogeneity of the\nincluded actors can lead to structural, cognitive and cultural\nchallenges in coordination and Cooperation, because diverse disciplines\n(e. g. production and material engineering, informatics as well as\nbusiness sciences) are integrated using different methodologies and\ntechnical terms. Therefore, the question arises in how far cross linked,\nknowledge-intensive and highly complex Scientific Cooperations can be\norganized to ensure a high quality of the research cluster output. To\ncope with the challenge of Scientific Cooperation, the conceptual\nframework of the Cross Sectional Processes in the Cluster of Excellence\n``Integrative Production Technology for High-Wage Countries{''} at RWTH\nAachen University supports effective networking processes and strategic\ncluster development by means of learning and knowledge management. In\norder to contribute to the aforementioned research question, a model for\nthe management of Cross Sectional Processes is developed. The model will\ndefine specific measures for a promotion of interdisciplinary\nCooperation and cluster development at respective phases of network\ndevelopment -e. g. from the initiation phase to the steady phase.\nFollowing the research approach of the Grounded Theory, the generation\nof the model bases on a triangulation of quantitative as well as\nqualitative data, captured through a Balanced-Scorecard-based\nperformance measurement tool, direct evaluations and structured\ninterviews with cluster members. First results of the data triangulation\nmake obvious that e. g. the role of project leaders as cluster-internal\nknowledge agents is crucial for a successful knowledge transfer in a\nhierarchical Cluster of Excellence. Moreover, a high rate of staff\nturnover in the research environment strongly influences the\nimplementation of cross sectional activities. A further transfer of\ncross sectional measures to other forms of Scientific oriented clusters\nand comparable networks is aspired by the Cross Sectional Processes to\nsupport Scientific oriented interdisciplinary Cooperation in future.
Wolfgang Schulz - One of the best experts on this subject based on the ideXlab platform.
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Scientific Cooperation engineering
2017Co-Authors: Sabina Jeschke, Anja Richert, Wolfgang Bleck, Gunther Schuh, Wolfgang Schulz, Martina Ziefle, Andre Brakling, Andre Calero Valdez, Kirsten Dahmen, Ulrich JansenAbstract:Scientific Cooperation Engineering researches, fosters and supports Scientific Cooperation on all hierarchical levels and beyond Scientific disciplines as a key resource for innovation in the Cluster of Excellence. State-of-the-art research methods—such as structural equation models, success models, or studies on success factors—that are frequently used in IS research are applied to create profound knowledge and insights in the contribution and optimal realization of Scientific inter and trans-disciplinary communication and Cooperation. A continuous formative evaluation is used to derive and explore insights into interdisciplinary collaboration and innovation processes from a management perspective. In addition, actor-based empirical studies are carried out to explore critical factors for interdisciplinary Cooperation and intercultural diversity management. Based on these results, workflows, physical networking events and tailor-made training programs are created and iteratively optimized towards the cluster’s needs. As Scientific Cooperation Engineering aims to gain empirical and data-driven knowledge, a Scientific Cooperation Portal and a prototypic flowchart application are under development to support workflows and project management. Furthermore, data science methods are currently implemented to recognize synergetic patterns based on bibliometric information and topical proximity, which is analyzed via project terminologies.
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Scientific Cooperation engineering making interdisciplinary knowledge available within research facilities and to external stakeholders
10th International Conference on Webometrics Informetrics and Scientometrics & 15th COLLNET Meeting, 2016Co-Authors: Andre Calero Valdez, Wolfgang Schulz, Ulrich Jansen, Tobias Vaegs, Anne Kathrin Schaar, Susanne Aghassi, Thomas Thiele, Markus Kowalski, Guenther Schuh, Sabina JeschkeAbstract:In this paper we introduce the Scientific Cooperation Portal (SCP), a social enterprise software, and how it is integrated into our process of Scientific Cooperation Engineering. This process is applied in a large-scale interdisciplinary research cluster to ensure and manage the success of the interdisciplinary Cooperation of over 180 researchers in different qualification levels. We investigate the influence of shared method competencies as an exemplary driver for collaboration. From the results we address both offline and online measures to improve interdisciplinary collaboration. We show how the knowledge generated from offline measures such as colloquia are transferred to the SCP and connected with other data available on the portal. This includes the handling of interdisciplinary terminologies, the disposability of publications and technology data sheets. The portal fosters knowledge exchange, and interdisciplinary awareness within the research cluster as well as technology dissemination both within the cluster, across the university, and into industry. The effectiveness of the approach is continuously assessed using a traditional balanced scorecard approach as well as additional qualitative measures such as interviews and focus groups.
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Scientific Cooperation engineering in the cluster of excellence integrative production technology for high wage countries at rwth aachen university
ICERI2012 Proceedings, 2014Co-Authors: Claudia Joos, Florian Welter, Anja Richert, Andre Calero Valdez, Ulrich Jansen, Anne Kathrin Schaar, Ingo Leisten, Evamaria Nick, Ulrich Prahl, Wolfgang SchulzAbstract:Interdisciplinary Scientific Cooperation plays a decisive role for the generation of new knowledge. The augmenting dynamic and complexity of Scientific forms of Cooperation require new approaches for interlinking people and knowledge from different disciplines to enable people for succeeding in interdisciplinary Cooperation. Concerning the case of the cluster of excellence Integrative Production Technology for High-Wage Countries at RWTH Aachen University this challenge is addressed by cross sectional processes (CSP). CSP are supporting networking processes and strategic cluster development by means of learning and knowledge management. Through cross-sectional activities, a new method for knowledge and organizational development was identified – Scientific Cooperation engineering. It aspires to support the transfer of highly complex, dynamic and interdisciplinary research Cooperation into sustainable and robust structures. The design of Scientific Cooperation engineering will be outlined in this position paper.
Ulrich Jansen - One of the best experts on this subject based on the ideXlab platform.
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Scientific Cooperation engineering
2017Co-Authors: Sabina Jeschke, Anja Richert, Wolfgang Bleck, Gunther Schuh, Wolfgang Schulz, Martina Ziefle, Andre Brakling, Andre Calero Valdez, Kirsten Dahmen, Ulrich JansenAbstract:Scientific Cooperation Engineering researches, fosters and supports Scientific Cooperation on all hierarchical levels and beyond Scientific disciplines as a key resource for innovation in the Cluster of Excellence. State-of-the-art research methods—such as structural equation models, success models, or studies on success factors—that are frequently used in IS research are applied to create profound knowledge and insights in the contribution and optimal realization of Scientific inter and trans-disciplinary communication and Cooperation. A continuous formative evaluation is used to derive and explore insights into interdisciplinary collaboration and innovation processes from a management perspective. In addition, actor-based empirical studies are carried out to explore critical factors for interdisciplinary Cooperation and intercultural diversity management. Based on these results, workflows, physical networking events and tailor-made training programs are created and iteratively optimized towards the cluster’s needs. As Scientific Cooperation Engineering aims to gain empirical and data-driven knowledge, a Scientific Cooperation Portal and a prototypic flowchart application are under development to support workflows and project management. Furthermore, data science methods are currently implemented to recognize synergetic patterns based on bibliometric information and topical proximity, which is analyzed via project terminologies.
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enhancing Scientific Cooperation of an interdisciplinary cluster of excellence via a Scientific Cooperation portal
2016Co-Authors: Tobias Vaegs, Florian Welter, Andre Calero Valdez, Ulrich Jansen, Anne Kathrin Schaar, Andre Breakling, Susanne Aghassi, Thomas Thiele, Claudia Joos, Anja RichertAbstract:In the Cluster of Excellence (CoE) “Integrative Production Technology for High-Wage countries” at RWTH Aachen University, scientists from different institutions investigate interdisciplinary ways to solve the polylemma’s tradeoffs between scale and scope as well as between plan and value oriented production. Next to the CoE’s four Scientific subfields – the Integrative Cluster Domains (ICDs) – there are three additional subprojects performing cross sectional research and providing means for physical and virtual cross-linkage, the Cross Sectional Processes (CSP). Scientific Cooperation in such a large and diverse consortium – as a meta-structure to the structures present in the member institutes – poses many challenges. To tackle these, an online learning and collaboration platform is developed, called the “Scientific Cooperation Portal”, to optimize the cluster-wide Cooperation process. Technically building on the Liferay framework, the portal provides basic features like a member list and an event calendar as well as functionalities to help cluster members to gain a deeper understanding of the CoE’s current state regarding the diversity in interdisciplinary terminology, patterns in publication relationships, knowledge management and developed technologies.
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Scientific Cooperation engineering making interdisciplinary knowledge available within research facilities and to external stakeholders
10th International Conference on Webometrics Informetrics and Scientometrics & 15th COLLNET Meeting, 2016Co-Authors: Andre Calero Valdez, Wolfgang Schulz, Ulrich Jansen, Tobias Vaegs, Anne Kathrin Schaar, Susanne Aghassi, Thomas Thiele, Markus Kowalski, Guenther Schuh, Sabina JeschkeAbstract:In this paper we introduce the Scientific Cooperation Portal (SCP), a social enterprise software, and how it is integrated into our process of Scientific Cooperation Engineering. This process is applied in a large-scale interdisciplinary research cluster to ensure and manage the success of the interdisciplinary Cooperation of over 180 researchers in different qualification levels. We investigate the influence of shared method competencies as an exemplary driver for collaboration. From the results we address both offline and online measures to improve interdisciplinary collaboration. We show how the knowledge generated from offline measures such as colloquia are transferred to the SCP and connected with other data available on the portal. This includes the handling of interdisciplinary terminologies, the disposability of publications and technology data sheets. The portal fosters knowledge exchange, and interdisciplinary awareness within the research cluster as well as technology dissemination both within the cluster, across the university, and into industry. The effectiveness of the approach is continuously assessed using a traditional balanced scorecard approach as well as additional qualitative measures such as interviews and focus groups.
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Scientific Cooperation engineering in the cluster of excellence integrative production technology for high wage countries at rwth aachen university
ICERI2012 Proceedings, 2014Co-Authors: Claudia Joos, Florian Welter, Anja Richert, Andre Calero Valdez, Ulrich Jansen, Anne Kathrin Schaar, Ingo Leisten, Evamaria Nick, Ulrich Prahl, Wolfgang SchulzAbstract:Interdisciplinary Scientific Cooperation plays a decisive role for the generation of new knowledge. The augmenting dynamic and complexity of Scientific forms of Cooperation require new approaches for interlinking people and knowledge from different disciplines to enable people for succeeding in interdisciplinary Cooperation. Concerning the case of the cluster of excellence Integrative Production Technology for High-Wage Countries at RWTH Aachen University this challenge is addressed by cross sectional processes (CSP). CSP are supporting networking processes and strategic cluster development by means of learning and knowledge management. Through cross-sectional activities, a new method for knowledge and organizational development was identified – Scientific Cooperation engineering. It aspires to support the transfer of highly complex, dynamic and interdisciplinary research Cooperation into sustainable and robust structures. The design of Scientific Cooperation engineering will be outlined in this position paper.
