The Experts below are selected from a list of 561771 Experts worldwide ranked by ideXlab platform
Meng Jung Shih - One of the best experts on this subject based on the ideXlab platform.
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patent classification using ontology based patent network Analysis
Pacific Asia Conference on Information Systems, 2010Co-Authors: Meng Jung Shih, Duenren LiuAbstract:Patent management is increasingly important for organizations to sustain their competitive advantage. The classification of patents is essential for patent management and Industrial Analysis. In this study, we propose a novel patent network-based classification method to analyze query patents and predict their classes. The proposed patent network, which contains various types of nodes that represent different features extracted from patent documents, is constructed based on the relationship metrics derived from patent metadata. The novel approach analyzes reachable nodes in the patent ontology network to calculate their relevance to query patents, after which it uses the modified k-nearest neighbor classifier to classify query patents. We evaluate the performance of the proposed approach on a test dataset of patent documents obtained from the United States Patent and Trademark Office (USPTO), and compare it with the performance of the three conventional methods. The results demonstrate that the proposed patent network-based approach outperforms the conventional approaches.
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Hybrid-Patent Classification Based on Patent-Network Analysis
Journal of the Association for Information Science and Technology, 2010Co-Authors: Meng Jung ShihAbstract:Effective patent management is essential for organizations to maintain their competitive advantage. The classification of patents is a critical part of patent management and Industrial Analysis. This study proposes a hybrid-patent-classification approach that combines a novel patent-network-based classification method with three conventional classification methods to analyze query patents and predict their classes. The novel patent network contains various types of nodes that represent different features extracted from patent documents. The nodes are connected based on the relationship metrics derived from the patent metadata. The proposed classification method predicts a query patent's class by analyzing all reachable nodes in the patent network and calculating their relevance to the query patent. It then classifies the query patent with a modified k-nearest neighbor classifier. To further improve the approach, we combine it with content-based, citation-based, and metadata-based classification methods to develop a hybrid-classification approach. We evaluate the performance of the hybrid approach on a test dataset of patent documents obtained from the U.S. Patent and Trademark Office, and compare its performance with that of the three conventional methods. The results demonstrate that the proposed patent-network-based approach yields more accurate class predictions than the patent network-based approach.
Duenren Liu - One of the best experts on this subject based on the ideXlab platform.
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patent classification using ontology based patent network Analysis
Pacific Asia Conference on Information Systems, 2010Co-Authors: Meng Jung Shih, Duenren LiuAbstract:Patent management is increasingly important for organizations to sustain their competitive advantage. The classification of patents is essential for patent management and Industrial Analysis. In this study, we propose a novel patent network-based classification method to analyze query patents and predict their classes. The proposed patent network, which contains various types of nodes that represent different features extracted from patent documents, is constructed based on the relationship metrics derived from patent metadata. The novel approach analyzes reachable nodes in the patent ontology network to calculate their relevance to query patents, after which it uses the modified k-nearest neighbor classifier to classify query patents. We evaluate the performance of the proposed approach on a test dataset of patent documents obtained from the United States Patent and Trademark Office (USPTO), and compare it with the performance of the three conventional methods. The results demonstrate that the proposed patent network-based approach outperforms the conventional approaches.
J J Laserna - One of the best experts on this subject based on the ideXlab platform.
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laser induced breakdown spectroscopy
Analytical Chemistry, 2013Co-Authors: Francisco J Fortes, Javier Moros, P Lucena, L M Cabalin, J J LasernaAbstract:■ CONTENTS General Information: Books, Reviews, and Conferences 640 Fundamentals 641 Interaction of Laser Beam with Matter 641 Factors Affecting Laser Ablation and LaserInduced Plasma Formation 642 Influence of Target on the Laser-Induced Plasmas 642 Influence of Laser Parameters on the LaserInduced Plasmas 643 Laser Wavelength (λ) 643 Laser Pulse Duration (τ) 643 Laser Pulse Energy (E) 645 Influence of Ambient Gas on the Laser-Induced Plasmas 645 LIBS Methods 647 Double Pulse LIBS 647 Femtosecond LIBS 651 Resonant LIBS 652 Ranging Approaches 652 Applications 654 Surface Inspection, Depth Profiling, and LIBS Imaging 654 Cultural Heritage 654 Industrial Analysis 655 Environmental Monitoring 656 Biomedical and Pharmaceutical Analysis 658 Security and Forensics 659 Analysis of Liquids and Submerged Solids 660 Space Exploration and Isotopic Analysis 662 Space Exploration 662 Isotopic Analysis 662 Conclusions and Future Outlook 663 Author Information 664 Corresponding Author 664 Notes 664 Biographies 664 Acknowledgments 664 References 664
Francisco J Fortes - One of the best experts on this subject based on the ideXlab platform.
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laser induced breakdown spectroscopy
Analytical Chemistry, 2013Co-Authors: Francisco J Fortes, Javier Moros, P Lucena, L M Cabalin, J J LasernaAbstract:■ CONTENTS General Information: Books, Reviews, and Conferences 640 Fundamentals 641 Interaction of Laser Beam with Matter 641 Factors Affecting Laser Ablation and LaserInduced Plasma Formation 642 Influence of Target on the Laser-Induced Plasmas 642 Influence of Laser Parameters on the LaserInduced Plasmas 643 Laser Wavelength (λ) 643 Laser Pulse Duration (τ) 643 Laser Pulse Energy (E) 645 Influence of Ambient Gas on the Laser-Induced Plasmas 645 LIBS Methods 647 Double Pulse LIBS 647 Femtosecond LIBS 651 Resonant LIBS 652 Ranging Approaches 652 Applications 654 Surface Inspection, Depth Profiling, and LIBS Imaging 654 Cultural Heritage 654 Industrial Analysis 655 Environmental Monitoring 656 Biomedical and Pharmaceutical Analysis 658 Security and Forensics 659 Analysis of Liquids and Submerged Solids 660 Space Exploration and Isotopic Analysis 662 Space Exploration 662 Isotopic Analysis 662 Conclusions and Future Outlook 663 Author Information 664 Corresponding Author 664 Notes 664 Biographies 664 Acknowledgments 664 References 664
Aleksandra Parteka - One of the best experts on this subject based on the ideXlab platform.
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the effects of offshoring to low wage countries on domestic wages a worldwide Industrial Analysis
Empirica, 2018Co-Authors: Joanna Wolszczakderlacz, Aleksandra PartekaAbstract:This paper extends the literature on the implications of offshoring for labour markets by investigating its effect on the wages of different skill groups in a broad global context. The Analysis draws on input–output data from the WIOD project, and in the panel analysed (13 manufacturing industries, 40 countries, 1995–2009) we account for up to 96 % of the international trade in manufacturing inputs. Being particularly interested in the wage effects of offshoring to low-wage countries (LWC), we use precise LWC classifications (varying across industries and time) to decompose overall offshoring by source country. We use a decomposition of the conventional offshoring measure in order to capture its pure international component, which is further instrumented using a gravity-based strategy. According to the estimation results, the negative impact of offshoring on wages mainly concerns low and medium skilled workers. However, in terms of magnitude, the downward pressure on domestic wages exhibited by offshoring to LWC is relatively small.
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the effects of offshoring to low wage countries on domestic wages a worldwide Industrial Analysis
2016Co-Authors: Joanna Wolszczakderlacz, Aleksandra PartekaAbstract:This paper extends the literature on the implications of offshoring for labour markets by investigating its effect on the wages of different skill groups in a broad global context. The Analysis draws on input-output data from the WIOD project, and in the panel analysed (13 manufacturing industries, 40 countries, 1995 – 2009) we capture up to 96% of the international trade in manufacturing inputs. Being particularly interested in the wage effects of offshoring to low wage countries (LWC), we employ precise LWC classifications (varying across industries and time) to decompose overall offshoring by source country. We employ a decomposition of the conventional offshoring measure in order to capture its pure international component, which is further instrumented using a gravity-based strategy. According to the estimation results, the negative impact of offshoring on wages mainly concerns low and medium skilled workers. However, in terms of magnitude, the downward pressure on domestic wages exhibited by offshoring to LWC is relatively small. LWC (Low wage countries) classifications employed in this paper are downloadable at: http://zie.pg.edu.pl/aparteka/publications [file LowWageCountries_classifications_WolszczakDerlacz_Parteka].