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Chien-chi Chang - One of the best experts on this subject based on the ideXlab platform.
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Reconfigurable Web wrapper agents for biological information integration: Research Articles
Journal of the Association for Information Science and Technology, 2005Co-Authors: Chun-nan Hsu, Chia-hui Chang, Chang-huain Hsieh, Chien-chi ChangAbstract:A variety of biological data is transferred and exchanged in overwhelming volumes on the World Wide Web. How to rapidly capture, utilize, and integrate the information on the Internet to discover valuable biological knowledge is one of the most critical issues in bioinformatics. Many information integration systems have been proposed for integrating biological data. These systems usually rely on an intermediate software layer called wrappers to access connected information sources. Wrapper construction for Web data sources is often specially hand coded to accommodate the differences between each Web site. However, programming a Web wrapper requires substantial programming skill, and is time-consuming and hard to maintain. In this article we provide a solution for rapidly building software agents that can serve as Web wrappers for biological information integration. We define an XML-based language called Web Navigation Description Language (WNDL), to model a Web-Browsing Session. A WNDL script describes how to locate the data, extract the data, and combine the data. By executing different WNDL scripts, we can automate virtually all types of Web-Browsing Sessions. We also describe IEPAD (Information Extraction Based on Pattern Discovery), a data extractor based on pattern discovery techniques. IEPAD allows our software agents to automatically discover the extraction rules to extract the contents of a structurally formatted Web page. With a programming-by-example authoring tool, a user can generate a complete Web wrapper agent by Browsing the target Web sites. We built a variety of biological applications to demonstrate the feasibility of our approach. © 2005 Wiley Periodicals, Inc.
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Reconfigurable web wrapper agents for biological information integration
Journal of the American Society for Information Science and Technology, 2005Co-Authors: Chun-nan Hsu, Chia-hui Chang, Chang-huain Hsieh, Chien-chi ChangAbstract:A variety of biological data is transferred and exchanged in overwhelming volumes on the World Wide Web. How to rapidly capture, utilize, and integrate the information on the Internet to discover valuable biological knowledge is one of the most critical issues in bioinformatics. Many information integration systems have been proposed for integrating biological data. These systems usually rely on an intermediate software layer called wrappers to access connected information sources. Wrapper construction for Web data sources is often specially hand coded to accommodate the differences between each Web site. However, programming a Web wrapper requires substantial programming skill, and is time-consuming and hard to maintain. In this article we provide a solution for rapidly building software agents that can serve as Web wrappers for biological information integration. We define an eXtensible Markup Language (XML)-based language called Web Navigation Description Language (WNDL), to model a Web-Browsing Session. A WNDL script describes how to locate the data, extract the data, and combine the data. By executing different WNDL scripts, we can automate virtually all types of Web-Browsing Sessions. We also describe IEPAD (Information Extraction Based on Pattern Discovery), a data extractor based on pattern discovery techniques. IEPAD allows our software agents to automatically discover the extraction rules to extract the contents of a structurally formatted Web page. With a programming-by-example authoring tool, a user can generate a complete Web wrapper agent by Browsing the target Web sites. We built a variety of biological applications to demonstrate the feasibility of our approach.
Chun-nan Hsu - One of the best experts on this subject based on the ideXlab platform.
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Reconfigurable Web wrapper agents for biological information integration: Research Articles
Journal of the Association for Information Science and Technology, 2005Co-Authors: Chun-nan Hsu, Chia-hui Chang, Chang-huain Hsieh, Chien-chi ChangAbstract:A variety of biological data is transferred and exchanged in overwhelming volumes on the World Wide Web. How to rapidly capture, utilize, and integrate the information on the Internet to discover valuable biological knowledge is one of the most critical issues in bioinformatics. Many information integration systems have been proposed for integrating biological data. These systems usually rely on an intermediate software layer called wrappers to access connected information sources. Wrapper construction for Web data sources is often specially hand coded to accommodate the differences between each Web site. However, programming a Web wrapper requires substantial programming skill, and is time-consuming and hard to maintain. In this article we provide a solution for rapidly building software agents that can serve as Web wrappers for biological information integration. We define an XML-based language called Web Navigation Description Language (WNDL), to model a Web-Browsing Session. A WNDL script describes how to locate the data, extract the data, and combine the data. By executing different WNDL scripts, we can automate virtually all types of Web-Browsing Sessions. We also describe IEPAD (Information Extraction Based on Pattern Discovery), a data extractor based on pattern discovery techniques. IEPAD allows our software agents to automatically discover the extraction rules to extract the contents of a structurally formatted Web page. With a programming-by-example authoring tool, a user can generate a complete Web wrapper agent by Browsing the target Web sites. We built a variety of biological applications to demonstrate the feasibility of our approach. © 2005 Wiley Periodicals, Inc.
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Reconfigurable web wrapper agents for biological information integration
Journal of the American Society for Information Science and Technology, 2005Co-Authors: Chun-nan Hsu, Chia-hui Chang, Chang-huain Hsieh, Chien-chi ChangAbstract:A variety of biological data is transferred and exchanged in overwhelming volumes on the World Wide Web. How to rapidly capture, utilize, and integrate the information on the Internet to discover valuable biological knowledge is one of the most critical issues in bioinformatics. Many information integration systems have been proposed for integrating biological data. These systems usually rely on an intermediate software layer called wrappers to access connected information sources. Wrapper construction for Web data sources is often specially hand coded to accommodate the differences between each Web site. However, programming a Web wrapper requires substantial programming skill, and is time-consuming and hard to maintain. In this article we provide a solution for rapidly building software agents that can serve as Web wrappers for biological information integration. We define an eXtensible Markup Language (XML)-based language called Web Navigation Description Language (WNDL), to model a Web-Browsing Session. A WNDL script describes how to locate the data, extract the data, and combine the data. By executing different WNDL scripts, we can automate virtually all types of Web-Browsing Sessions. We also describe IEPAD (Information Extraction Based on Pattern Discovery), a data extractor based on pattern discovery techniques. IEPAD allows our software agents to automatically discover the extraction rules to extract the contents of a structurally formatted Web page. With a programming-by-example authoring tool, a user can generate a complete Web wrapper agent by Browsing the target Web sites. We built a variety of biological applications to demonstrate the feasibility of our approach.
M. F. N. De Boer - One of the best experts on this subject based on the ideXlab platform.
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ICDE - Query optimization strategies for Browsing Sessions
Proceedings of 1994 IEEE 10th International Conference on Data Engineering, 1Co-Authors: Martin L. Kersten, M. F. N. De BoerAbstract:This paper describes techniques and experimental results to obtain response time improvement for a Browsing Session, i.e. a sequence of interrelated queries to locate a subset of interest. The optimization technique exploits symbolic analysis of the query interdependencies and retention of (partial) query answers. A prototype Browsing Session optimizer (BSO) has been constructed that runs as a front-end to the Ingres relational system. Based on the experiments reported, we propose to extend (existing) DBMSs with a mechanism to keep and reuse small answers by default. Such investments quickly pay off in Sessions with interrelated queries. >
Chia-hui Chang - One of the best experts on this subject based on the ideXlab platform.
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Reconfigurable Web wrapper agents for biological information integration: Research Articles
Journal of the Association for Information Science and Technology, 2005Co-Authors: Chun-nan Hsu, Chia-hui Chang, Chang-huain Hsieh, Chien-chi ChangAbstract:A variety of biological data is transferred and exchanged in overwhelming volumes on the World Wide Web. How to rapidly capture, utilize, and integrate the information on the Internet to discover valuable biological knowledge is one of the most critical issues in bioinformatics. Many information integration systems have been proposed for integrating biological data. These systems usually rely on an intermediate software layer called wrappers to access connected information sources. Wrapper construction for Web data sources is often specially hand coded to accommodate the differences between each Web site. However, programming a Web wrapper requires substantial programming skill, and is time-consuming and hard to maintain. In this article we provide a solution for rapidly building software agents that can serve as Web wrappers for biological information integration. We define an XML-based language called Web Navigation Description Language (WNDL), to model a Web-Browsing Session. A WNDL script describes how to locate the data, extract the data, and combine the data. By executing different WNDL scripts, we can automate virtually all types of Web-Browsing Sessions. We also describe IEPAD (Information Extraction Based on Pattern Discovery), a data extractor based on pattern discovery techniques. IEPAD allows our software agents to automatically discover the extraction rules to extract the contents of a structurally formatted Web page. With a programming-by-example authoring tool, a user can generate a complete Web wrapper agent by Browsing the target Web sites. We built a variety of biological applications to demonstrate the feasibility of our approach. © 2005 Wiley Periodicals, Inc.
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Reconfigurable web wrapper agents for biological information integration
Journal of the American Society for Information Science and Technology, 2005Co-Authors: Chun-nan Hsu, Chia-hui Chang, Chang-huain Hsieh, Chien-chi ChangAbstract:A variety of biological data is transferred and exchanged in overwhelming volumes on the World Wide Web. How to rapidly capture, utilize, and integrate the information on the Internet to discover valuable biological knowledge is one of the most critical issues in bioinformatics. Many information integration systems have been proposed for integrating biological data. These systems usually rely on an intermediate software layer called wrappers to access connected information sources. Wrapper construction for Web data sources is often specially hand coded to accommodate the differences between each Web site. However, programming a Web wrapper requires substantial programming skill, and is time-consuming and hard to maintain. In this article we provide a solution for rapidly building software agents that can serve as Web wrappers for biological information integration. We define an eXtensible Markup Language (XML)-based language called Web Navigation Description Language (WNDL), to model a Web-Browsing Session. A WNDL script describes how to locate the data, extract the data, and combine the data. By executing different WNDL scripts, we can automate virtually all types of Web-Browsing Sessions. We also describe IEPAD (Information Extraction Based on Pattern Discovery), a data extractor based on pattern discovery techniques. IEPAD allows our software agents to automatically discover the extraction rules to extract the contents of a structurally formatted Web page. With a programming-by-example authoring tool, a user can generate a complete Web wrapper agent by Browsing the target Web sites. We built a variety of biological applications to demonstrate the feasibility of our approach.
Chang-huain Hsieh - One of the best experts on this subject based on the ideXlab platform.
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Reconfigurable Web wrapper agents for biological information integration: Research Articles
Journal of the Association for Information Science and Technology, 2005Co-Authors: Chun-nan Hsu, Chia-hui Chang, Chang-huain Hsieh, Chien-chi ChangAbstract:A variety of biological data is transferred and exchanged in overwhelming volumes on the World Wide Web. How to rapidly capture, utilize, and integrate the information on the Internet to discover valuable biological knowledge is one of the most critical issues in bioinformatics. Many information integration systems have been proposed for integrating biological data. These systems usually rely on an intermediate software layer called wrappers to access connected information sources. Wrapper construction for Web data sources is often specially hand coded to accommodate the differences between each Web site. However, programming a Web wrapper requires substantial programming skill, and is time-consuming and hard to maintain. In this article we provide a solution for rapidly building software agents that can serve as Web wrappers for biological information integration. We define an XML-based language called Web Navigation Description Language (WNDL), to model a Web-Browsing Session. A WNDL script describes how to locate the data, extract the data, and combine the data. By executing different WNDL scripts, we can automate virtually all types of Web-Browsing Sessions. We also describe IEPAD (Information Extraction Based on Pattern Discovery), a data extractor based on pattern discovery techniques. IEPAD allows our software agents to automatically discover the extraction rules to extract the contents of a structurally formatted Web page. With a programming-by-example authoring tool, a user can generate a complete Web wrapper agent by Browsing the target Web sites. We built a variety of biological applications to demonstrate the feasibility of our approach. © 2005 Wiley Periodicals, Inc.
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Reconfigurable web wrapper agents for biological information integration
Journal of the American Society for Information Science and Technology, 2005Co-Authors: Chun-nan Hsu, Chia-hui Chang, Chang-huain Hsieh, Chien-chi ChangAbstract:A variety of biological data is transferred and exchanged in overwhelming volumes on the World Wide Web. How to rapidly capture, utilize, and integrate the information on the Internet to discover valuable biological knowledge is one of the most critical issues in bioinformatics. Many information integration systems have been proposed for integrating biological data. These systems usually rely on an intermediate software layer called wrappers to access connected information sources. Wrapper construction for Web data sources is often specially hand coded to accommodate the differences between each Web site. However, programming a Web wrapper requires substantial programming skill, and is time-consuming and hard to maintain. In this article we provide a solution for rapidly building software agents that can serve as Web wrappers for biological information integration. We define an eXtensible Markup Language (XML)-based language called Web Navigation Description Language (WNDL), to model a Web-Browsing Session. A WNDL script describes how to locate the data, extract the data, and combine the data. By executing different WNDL scripts, we can automate virtually all types of Web-Browsing Sessions. We also describe IEPAD (Information Extraction Based on Pattern Discovery), a data extractor based on pattern discovery techniques. IEPAD allows our software agents to automatically discover the extraction rules to extract the contents of a structurally formatted Web page. With a programming-by-example authoring tool, a user can generate a complete Web wrapper agent by Browsing the target Web sites. We built a variety of biological applications to demonstrate the feasibility of our approach.
