The Experts below are selected from a list of 255 Experts worldwide ranked by ideXlab platform

Raphael Volz - One of the best experts on this subject based on the ideXlab platform.

  • a reverse engineering approach for Migrating Data intensive web sites to the semantic web
    International Conference on Intelligent Information Processing, 2002
    Co-Authors: Nenad Stojanovic, Ljiljana Stojanovic, Raphael Volz
    Abstract:

    The Semantic Web is intended to enable machine understandable web content and seems to be a solution for many drawbacks of the current Web. It is based on metaData that formally describe the semantics of Web contents. In this paper we present an integrated and semi-automatic approach for generating shared-understandable metaData for Data-intensive Web applications. This approach is based on mapping a given relational schema into an already existing ontology structure using a reverse engineering process. As a case study we present this style of a schema- and Data-migration for our Institute web portal. The presented approach can be applied to a broad range of today’s Data-intensive Web sites.

  • Migrating Data intensive web sites into the semantic web
    ACM Symposium on Applied Computing, 2002
    Co-Authors: Ljiljana Stojanovic, Nenad Stojanovic, Raphael Volz
    Abstract:

    The Semantic Web is intended to enable machine processability of web content and seems to be a solution for many drawbacks of the current Web. It is based on metaData that describe the formal semantics of Web contents. We present a novel, integrated and automated approach for Migrating Data-intensive Web applications into the Semantic Web. This approach can be applied to a broad range of today's business Web sites.

  • SAC - Migrating Data-intensive web sites into the Semantic Web
    Proceedings of the 2002 ACM symposium on Applied computing - SAC '02, 2002
    Co-Authors: Ljiljana Stojanovic, Nenad Stojanovic, Raphael Volz
    Abstract:

    The Semantic Web is intended to enable machine processability of web content and seems to be a solution for many drawbacks of the current Web. It is based on metaData that describe the formal semantics of Web contents. We present a novel, integrated and automated approach for Migrating Data-intensive Web applications into the Semantic Web. This approach can be applied to a broad range of today's business Web sites.

  • Intelligent Information Processing - A Reverse Engineering Approach for Migrating Data-intensive Web Sites to the Semantic Web
    Intelligent Information Processing, 2002
    Co-Authors: Nenad Stojanovic, Ljiljana Stojanovic, Raphael Volz
    Abstract:

    The Semantic Web is intended to enable machine understandable web content and seems to be a solution for many drawbacks of the current Web. It is based on metaData that formally describe the semantics of Web contents. In this paper we present an integrated and semi-automatic approach for generating shared-understandable metaData for Data-intensive Web applications. This approach is based on mapping a given relational schema into an already existing ontology structure using a reverse engineering process. As a case study we present this style of a schema- and Data-migration for our Institute web portal. The presented approach can be applied to a broad range of today’s Data-intensive Web sites.

Sougata Mukherjea - One of the best experts on this subject based on the ideXlab platform.

  • An Enhanced Extract-Transform-Load System for Migrating Data in Telecom Billing
    2008 IEEE 24th International Conference on Data Engineering, 2008
    Co-Authors: Himanshu Agrawal, Girish Chafle, Sumit Mittal, Sunil Goyal, Sougata Mukherjea
    Abstract:

    Data migration has become a priority in many industries, spawned by a variety of business needs. Most of the existing tools for Extract, Transform and Load (ETL) process of Data migration are piece-meal and do not present a complete solution. Moreover, while research has focused on the problem of Schema Mapping, a key step in the ETL process, most of the current algorithms do not perform well on real-world Data. Researchers have suggested the use of Domain Knowledge to enhance schema mapping. In this paper, we use domain knowledge in an innovative manner to improve schema mapping in an 'actual' industrial setting. Further, we take a comprehensive view of the Data migration problem and present an end-to-end system for the ETL process, utilizing existing tools for each step and building connectors, wherever required. We focus on Data Migration for Telecom Billing and utilize domain knowledge captured in an ontology, a thesaurus and a set of rules to improve schema mapping. Experiments conducted on a real-life Data demonstrate the effectiveness of our system and validate the utility of domain knowledge in Data migration projects.

  • ICDE - An Enhanced Extract-Transform-Load System for Migrating Data in Telecom Billing
    2008 IEEE 24th International Conference on Data Engineering, 2008
    Co-Authors: Himanshu Agrawal, Girish Chafle, Sumit Mittal, Sunil Goyal, Sougata Mukherjea
    Abstract:

    Data migration has become a priority in many industries, spawned by a variety of business needs. Most of the existing tools for Extract, Transform and Load (ETL) process of Data migration are piece-meal and do not present a complete solution. Moreover, while research has focused on the problem of Schema Mapping, a key step in the ETL process, most of the current algorithms do not perform well on real-world Data. Researchers have suggested the use of Domain Knowledge to enhance schema mapping. In this paper, we use domain knowledge in an innovative manner to improve schema mapping in an 'actual' industrial setting. Further, we take a comprehensive view of the Data migration problem and present an end-to-end system for the ETL process, utilizing existing tools for each step and building connectors, wherever required. We focus on Data Migration for Telecom Billing and utilize domain knowledge captured in an ontology, a thesaurus and a set of rules to improve schema mapping. Experiments conducted on a real-life Data demonstrate the effectiveness of our system and validate the utility of domain knowledge in Data migration projects.

Ljiljana Stojanovic - One of the best experts on this subject based on the ideXlab platform.

  • a reverse engineering approach for Migrating Data intensive web sites to the semantic web
    International Conference on Intelligent Information Processing, 2002
    Co-Authors: Nenad Stojanovic, Ljiljana Stojanovic, Raphael Volz
    Abstract:

    The Semantic Web is intended to enable machine understandable web content and seems to be a solution for many drawbacks of the current Web. It is based on metaData that formally describe the semantics of Web contents. In this paper we present an integrated and semi-automatic approach for generating shared-understandable metaData for Data-intensive Web applications. This approach is based on mapping a given relational schema into an already existing ontology structure using a reverse engineering process. As a case study we present this style of a schema- and Data-migration for our Institute web portal. The presented approach can be applied to a broad range of today’s Data-intensive Web sites.

  • Migrating Data intensive web sites into the semantic web
    ACM Symposium on Applied Computing, 2002
    Co-Authors: Ljiljana Stojanovic, Nenad Stojanovic, Raphael Volz
    Abstract:

    The Semantic Web is intended to enable machine processability of web content and seems to be a solution for many drawbacks of the current Web. It is based on metaData that describe the formal semantics of Web contents. We present a novel, integrated and automated approach for Migrating Data-intensive Web applications into the Semantic Web. This approach can be applied to a broad range of today's business Web sites.

  • SAC - Migrating Data-intensive web sites into the Semantic Web
    Proceedings of the 2002 ACM symposium on Applied computing - SAC '02, 2002
    Co-Authors: Ljiljana Stojanovic, Nenad Stojanovic, Raphael Volz
    Abstract:

    The Semantic Web is intended to enable machine processability of web content and seems to be a solution for many drawbacks of the current Web. It is based on metaData that describe the formal semantics of Web contents. We present a novel, integrated and automated approach for Migrating Data-intensive Web applications into the Semantic Web. This approach can be applied to a broad range of today's business Web sites.

  • Intelligent Information Processing - A Reverse Engineering Approach for Migrating Data-intensive Web Sites to the Semantic Web
    Intelligent Information Processing, 2002
    Co-Authors: Nenad Stojanovic, Ljiljana Stojanovic, Raphael Volz
    Abstract:

    The Semantic Web is intended to enable machine understandable web content and seems to be a solution for many drawbacks of the current Web. It is based on metaData that formally describe the semantics of Web contents. In this paper we present an integrated and semi-automatic approach for generating shared-understandable metaData for Data-intensive Web applications. This approach is based on mapping a given relational schema into an already existing ontology structure using a reverse engineering process. As a case study we present this style of a schema- and Data-migration for our Institute web portal. The presented approach can be applied to a broad range of today’s Data-intensive Web sites.

Himanshu Agrawal - One of the best experts on this subject based on the ideXlab platform.

  • An Enhanced Extract-Transform-Load System for Migrating Data in Telecom Billing
    2008 IEEE 24th International Conference on Data Engineering, 2008
    Co-Authors: Himanshu Agrawal, Girish Chafle, Sumit Mittal, Sunil Goyal, Sougata Mukherjea
    Abstract:

    Data migration has become a priority in many industries, spawned by a variety of business needs. Most of the existing tools for Extract, Transform and Load (ETL) process of Data migration are piece-meal and do not present a complete solution. Moreover, while research has focused on the problem of Schema Mapping, a key step in the ETL process, most of the current algorithms do not perform well on real-world Data. Researchers have suggested the use of Domain Knowledge to enhance schema mapping. In this paper, we use domain knowledge in an innovative manner to improve schema mapping in an 'actual' industrial setting. Further, we take a comprehensive view of the Data migration problem and present an end-to-end system for the ETL process, utilizing existing tools for each step and building connectors, wherever required. We focus on Data Migration for Telecom Billing and utilize domain knowledge captured in an ontology, a thesaurus and a set of rules to improve schema mapping. Experiments conducted on a real-life Data demonstrate the effectiveness of our system and validate the utility of domain knowledge in Data migration projects.

  • ICDE - An Enhanced Extract-Transform-Load System for Migrating Data in Telecom Billing
    2008 IEEE 24th International Conference on Data Engineering, 2008
    Co-Authors: Himanshu Agrawal, Girish Chafle, Sumit Mittal, Sunil Goyal, Sougata Mukherjea
    Abstract:

    Data migration has become a priority in many industries, spawned by a variety of business needs. Most of the existing tools for Extract, Transform and Load (ETL) process of Data migration are piece-meal and do not present a complete solution. Moreover, while research has focused on the problem of Schema Mapping, a key step in the ETL process, most of the current algorithms do not perform well on real-world Data. Researchers have suggested the use of Domain Knowledge to enhance schema mapping. In this paper, we use domain knowledge in an innovative manner to improve schema mapping in an 'actual' industrial setting. Further, we take a comprehensive view of the Data migration problem and present an end-to-end system for the ETL process, utilizing existing tools for each step and building connectors, wherever required. We focus on Data Migration for Telecom Billing and utilize domain knowledge captured in an ontology, a thesaurus and a set of rules to improve schema mapping. Experiments conducted on a real-life Data demonstrate the effectiveness of our system and validate the utility of domain knowledge in Data migration projects.

Nenad Stojanovic - One of the best experts on this subject based on the ideXlab platform.

  • a reverse engineering approach for Migrating Data intensive web sites to the semantic web
    International Conference on Intelligent Information Processing, 2002
    Co-Authors: Nenad Stojanovic, Ljiljana Stojanovic, Raphael Volz
    Abstract:

    The Semantic Web is intended to enable machine understandable web content and seems to be a solution for many drawbacks of the current Web. It is based on metaData that formally describe the semantics of Web contents. In this paper we present an integrated and semi-automatic approach for generating shared-understandable metaData for Data-intensive Web applications. This approach is based on mapping a given relational schema into an already existing ontology structure using a reverse engineering process. As a case study we present this style of a schema- and Data-migration for our Institute web portal. The presented approach can be applied to a broad range of today’s Data-intensive Web sites.

  • Migrating Data intensive web sites into the semantic web
    ACM Symposium on Applied Computing, 2002
    Co-Authors: Ljiljana Stojanovic, Nenad Stojanovic, Raphael Volz
    Abstract:

    The Semantic Web is intended to enable machine processability of web content and seems to be a solution for many drawbacks of the current Web. It is based on metaData that describe the formal semantics of Web contents. We present a novel, integrated and automated approach for Migrating Data-intensive Web applications into the Semantic Web. This approach can be applied to a broad range of today's business Web sites.

  • SAC - Migrating Data-intensive web sites into the Semantic Web
    Proceedings of the 2002 ACM symposium on Applied computing - SAC '02, 2002
    Co-Authors: Ljiljana Stojanovic, Nenad Stojanovic, Raphael Volz
    Abstract:

    The Semantic Web is intended to enable machine processability of web content and seems to be a solution for many drawbacks of the current Web. It is based on metaData that describe the formal semantics of Web contents. We present a novel, integrated and automated approach for Migrating Data-intensive Web applications into the Semantic Web. This approach can be applied to a broad range of today's business Web sites.

  • Intelligent Information Processing - A Reverse Engineering Approach for Migrating Data-intensive Web Sites to the Semantic Web
    Intelligent Information Processing, 2002
    Co-Authors: Nenad Stojanovic, Ljiljana Stojanovic, Raphael Volz
    Abstract:

    The Semantic Web is intended to enable machine understandable web content and seems to be a solution for many drawbacks of the current Web. It is based on metaData that formally describe the semantics of Web contents. In this paper we present an integrated and semi-automatic approach for generating shared-understandable metaData for Data-intensive Web applications. This approach is based on mapping a given relational schema into an already existing ontology structure using a reverse engineering process. As a case study we present this style of a schema- and Data-migration for our Institute web portal. The presented approach can be applied to a broad range of today’s Data-intensive Web sites.