The Experts below are selected from a list of 3138 Experts worldwide ranked by ideXlab platform
Dongdong Wang - One of the best experts on this subject based on the ideXlab platform.
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ISCC - Concept extraction for Structured Text using entropy weight method
2019 IEEE Symposium on Computers and Communications (ISCC), 2019Co-Authors: Jie Yu, Rongrong Chen, Lingyu Xu, Dongdong WangAbstract:With the rapid development of computer and communication, data mining and related fields are facing huge challenges. In the research of data mining and Text analysis, how to extract concepts more objectively and reasonably is a key issue. Existing approaches seem to lack the intensive analysis of structural nature of Structured Text, which will affect the effectiveness and accuracy of Text analysis. This paper proposes a novel approach of Structured Text analysis and concept extraction using entropy weight method. It quantitatively assesses the contribution of each module in evaluating the weight of concept. Based on the position of the concept in the Text, concepts can be mined more effectively. Furthermore, the method is applied to the field of academic Text analysis to verify its effectiveness and advantages over traditional methods. And the experimental results also prove that the method can provide solid theoretical and technical support for personalized academic information services
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Concept extraction for Structured Text using entropy weight method
2019 IEEE Symposium on Computers and Communications (ISCC), 2019Co-Authors: Jie Yu, Rongrong Chen, Lingyu Xu, Dongdong WangAbstract:With the rapid development of computer and communication, data mining and related fields are facing huge challenges. In the research of data mining and Text analysis, how to extract concepts more objectively and reasonably is a key issue. Existing approaches seem to lack the intensive analysis of structural nature of Structured Text, which will affect the effectiveness and accuracy of Text analysis. This paper proposes a novel approach of Structured Text analysis and concept extraction using entropy weight method. It quantitatively assesses the contribution of each module in evaluating the weight of concept. Based on the position of the concept in the Text, concepts can be mined more effectively. Furthermore, the method is applied to the field of academic Text analysis to verify its effectiveness and advantages over traditional methods. And the experimental results also prove that the method can provide solid theoretical and technical support for personalized academic information services.
J. Pecorelli - One of the best experts on this subject based on the ideXlab platform.
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Structured Text simulator for PLC in learning environment
2015 International Conference on Information Technology Based Higher Education and Training (ITHET), 2015Co-Authors: Brito L. Palma, Almeida J. Rosas, J. PecorelliAbstract:In the current market conText, industries need to constantly remain technically competitive. Such conText in which customers require personalized products force them to design better products at shorter development cycles. In this regard, the process control of manufacturing systems greatly influences these factors. A simulation tool for process automation and control is proposed, which can simulate a Programmable Logic Controller (PLC) that can be programmed in Structured Text language, using multi-tasking. The simulator can be used to verify dynamical processes and controllers for discrete-event systems, discrete-time systems, and mixed systems. A description of the PLC simulation architectures and its development is provided, as well as illustrative examples.
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ITHET - Structured Text simulator for PLC in learning environment
2015 International Conference on Information Technology Based Higher Education and Training (ITHET), 2015Co-Authors: L. Brito Palma, J. Almeida Rosas, J. PecorelliAbstract:In the current market conText, industries need to constantly remain technically competitive. Such conText in which customers require personalized products force them to design better products at shorter development cycles. In this regard, the process control of manufacturing systems greatly influences these factors. A simulation tool for process automation and control is proposed, which can simulate a Programmable Logic Controller (PLC) that can be programmed in Structured Text language, using multi-tasking. The simulator can be used to verify dynamical processes and controllers for discrete-event systems, discrete-time systems, and mixed systems. A description of the PLC simulation architectures and its development is provided, as well as illustrative examples.
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Simulation of Structured Text language for PLC programming
2015 3rd Experiment International Conference (exp.at'15), 2015Co-Authors: Brito L. Palma, Almeida J. Rosas, J. PecorelliAbstract:Programmable Logic Controllers (PLC) have been used for long in Industry and are part of learning programs in academia. The utilization of these devices must be done with care due to their electrical connections and to the work with possible dangerous or sensitive machines. As such, learning to program and use those in a safe and effective way is recommended and desired both in industrial and academia conTexts. We describe a software simulator, which simulates a PLC TSX3721 as well as its programming code, namely Structured Text (ST), and also a HMI panel. It can be used to simulate discrete-event systems, discrete-time systems and hybrid systems, at their several working stages. A description of the PLC simulation architectures and its development is provided, as well as illustrative examples.
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exp.at - Simulation of Structured Text language for PLC programming
2015 3rd Experiment International Conference (exp.at'15), 2015Co-Authors: L. Brito Palma, J. Almeida Rosas, J. PecorelliAbstract:Programmable Logic Controllers (PLC) have been used for long in Industry and are part of learning programs in academia. The utilization of these devices must be done with care due to their electrical connections and to the work with possible dangerous or sensitive machines. As such, learning to program and use those in a safe and effective way is recommended and desired both in industrial and academia conTexts. We describe a software simulator, which simulates a PLC TSX3721 as well as its programming code, namely Structured Text (ST), and also a HMI panel. It can be used to simulate discrete-event systems, discrete-time systems and hybrid systems, at their several working stages. A description of the PLC simulation architectures and its development is provided, as well as illustrative examples.
Jurgen Annevelink - One of the best experts on this subject based on the ideXlab platform.
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VLDB - Integrating a Structured-Text Retrieval System with an Object-Oriented Database System
1994Co-Authors: Jurgen AnnevelinkAbstract:We describe the integration of a Structured-Text retrieval system (TextMachine) into an object-oriented database system (OpOur approach is a light-weight one, using the external function capability of the database system to encapsulate the Text retrieval system as an external information source. Yet, we are able to provide a tight integration in the query language and processing; the user can access the Text retrieval system using a standard database query language. The effcient and effective retrieval of Structured Text performed by the Text retrieval system is seamlessly combined with the rich modeling and general-purpose querying capabilities of the database system, resulting in an integrated system with querying power beyond those of the underlying systems. The integrated system also provides uniform access to Textual data in the Text retrieval system and Structured data in the database system, thereby achieving information fusion. We discuss the design and implementation of our prototype system, and address issues such as the proper framework for external integration, the modeling of complex categorization and structure hierarchies of documents (under automatic document schema impand techniques to reduce the performance overhead of accessing an external source.
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integrating a Structured Text retrieval system with an object oriented database system
Very Large Data Bases, 1994Co-Authors: Jurgen AnnevelinkAbstract:We describe the integration of a Structured-Text retrieval system (TextMachine) into an object-oriented database system (OpOur approach is a light-weight one, using the external function capability of the database system to encapsulate the Text retrieval system as an external information source. Yet, we are able to provide a tight integration in the query language and processing; the user can access the Text retrieval system using a standard database query language. The effcient and effective retrieval of Structured Text performed by the Text retrieval system is seamlessly combined with the rich modeling and general-purpose querying capabilities of the database system, resulting in an integrated system with querying power beyond those of the underlying systems. The integrated system also provides uniform access to Textual data in the Text retrieval system and Structured data in the database system, thereby achieving information fusion. We discuss the design and implementation of our prototype system, and address issues such as the proper framework for external integration, the modeling of complex categorization and structure hierarchies of documents (under automatic document schema impand techniques to reduce the performance overhead of accessing an external source.
Jie Yu - One of the best experts on this subject based on the ideXlab platform.
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ISCC - Concept extraction for Structured Text using entropy weight method
2019 IEEE Symposium on Computers and Communications (ISCC), 2019Co-Authors: Jie Yu, Rongrong Chen, Lingyu Xu, Dongdong WangAbstract:With the rapid development of computer and communication, data mining and related fields are facing huge challenges. In the research of data mining and Text analysis, how to extract concepts more objectively and reasonably is a key issue. Existing approaches seem to lack the intensive analysis of structural nature of Structured Text, which will affect the effectiveness and accuracy of Text analysis. This paper proposes a novel approach of Structured Text analysis and concept extraction using entropy weight method. It quantitatively assesses the contribution of each module in evaluating the weight of concept. Based on the position of the concept in the Text, concepts can be mined more effectively. Furthermore, the method is applied to the field of academic Text analysis to verify its effectiveness and advantages over traditional methods. And the experimental results also prove that the method can provide solid theoretical and technical support for personalized academic information services
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Concept extraction for Structured Text using entropy weight method
2019 IEEE Symposium on Computers and Communications (ISCC), 2019Co-Authors: Jie Yu, Rongrong Chen, Lingyu Xu, Dongdong WangAbstract:With the rapid development of computer and communication, data mining and related fields are facing huge challenges. In the research of data mining and Text analysis, how to extract concepts more objectively and reasonably is a key issue. Existing approaches seem to lack the intensive analysis of structural nature of Structured Text, which will affect the effectiveness and accuracy of Text analysis. This paper proposes a novel approach of Structured Text analysis and concept extraction using entropy weight method. It quantitatively assesses the contribution of each module in evaluating the weight of concept. Based on the position of the concept in the Text, concepts can be mined more effectively. Furthermore, the method is applied to the field of academic Text analysis to verify its effectiveness and advantages over traditional methods. And the experimental results also prove that the method can provide solid theoretical and technical support for personalized academic information services.
Shiyuan Zheng - One of the best experts on this subject based on the ideXlab platform.
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Structured Text Summarization via Open Domain Information Extraction
2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD)), 2018Co-Authors: Binxia Xu, Shiyuan ZhengAbstract:Given the dramatic growth of digital content, new solutions are needed for us to be able to get a quick overview of pertinent information without being inundated by irrelevant details. While there has been ample research on automatic summarization methods, summaries may still be somewhat convoluted and hard to absorb. In this paper, we propose the novel task of Structured Text summarization, which we address by combining ranking techniques with open information extraction. This method collaborates with linguistics and yields an uncluttered, more easily digestible overview of key insights from a Text and performs very well in certain aspect in our experiments.
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CSCWD - Structured Text Summarization via Open Domain Information Extraction
2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD)), 2018Co-Authors: Binxia Xu, Shiyuan ZhengAbstract:Given the dramatic growth of digital content, new solutions are needed for us to be able to get a quick overview of pertinent information without being inundated by irrelevant details. While there has been ample research on automatic summarization methods, summaries may still be somewhat convoluted and hard to absorb. In this paper, we propose the novel task of Structured Text summarization, which we address by combining ranking techniques with open information extraction. This method collaborates with linguistics and yields an uncluttered, more easily digestible overview of key insights from a Text and performs very well in certain aspect in our experiments.
