Towards hypermedia support for database systems

Anirban Bhaumik; Michalis Vaitis; Deepti Dixit; Michael Bieber; Roberto Galnares; Vincent Oria; Aparna Krishna; Qiang Lu; Manolis Tzagarakis; Firas Alljalad; Li Zhang

doi:10.1109/HICSS.2001.927092

Towards hypermedia support for database systems

Anirban Bhaumik, Michalis Vaitis, Deepti Dixit, Michael Bieber, Roberto Galnares, Vincent Oria, Aparna Krishna, Qiang Lu, Manolis Tzagarakis, Firas Alljalad, Li Zhang

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Using a dynamic hypermedia engine (DHE), we propose to automate the following features for database systems, both on and off the Web. First we automatically generate links based on the database's relational (physical) schema and its original (non-normalized) entity-relationship specification. Second, the application developer can specify which kinds of database elements are related to diverse elements in the same or different database application, or even another software system. Our current DHE prototype illustrates these for a relational database management system. We propose integrating data warehousing applications into the DHE. We also propose incorporating data mining as a new kind of automated link generation. Passing the application element selected by a user, a data mining system that would discover interesting relationships for that element. DHE would then map each relationship to a link.

Original language	English (US)
Pages (from-to)	191
Number of pages	1
Journal	Proceedings of the Hawaii International Conference on System Sciences
DOIs	https://doi.org/10.1109/HICSS.2001.927092
State	Published - 2001

All Science Journal Classification (ASJC) codes

General Computer Science

Keywords

Automated linking
Data warehousing
Database
Database schema
Dynamic Hypermedia Engine data mining
E-R Diagram
Hypermedia
Hypertext
Metadata
Wrapper

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10.1109/HICSS.2001.927092

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title = "Towards hypermedia support for database systems",

abstract = "Using a dynamic hypermedia engine (DHE), we propose to automate the following features for database systems, both on and off the Web. First we automatically generate links based on the database's relational (physical) schema and its original (non-normalized) entity-relationship specification. Second, the application developer can specify which kinds of database elements are related to diverse elements in the same or different database application, or even another software system. Our current DHE prototype illustrates these for a relational database management system. We propose integrating data warehousing applications into the DHE. We also propose incorporating data mining as a new kind of automated link generation. Passing the application element selected by a user, a data mining system that would discover interesting relationships for that element. DHE would then map each relationship to a link.",

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author = "Anirban Bhaumik and Michalis Vaitis and Deepti Dixit and Michael Bieber and Roberto Galnares and Vincent Oria and Aparna Krishna and Qiang Lu and Manolis Tzagarakis and Firas Alljalad and Li Zhang",

year = "2001",

doi = "10.1109/HICSS.2001.927092",

language = "English (US)",

pages = "191",

journal = "Proceedings of the Hawaii International Conference on System Sciences",

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AU - Bhaumik, Anirban

AU - Vaitis, Michalis

AU - Dixit, Deepti

AU - Bieber, Michael

AU - Galnares, Roberto

AU - Oria, Vincent

AU - Krishna, Aparna

AU - Lu, Qiang

AU - Tzagarakis, Manolis

AU - Alljalad, Firas

AU - Zhang, Li

PY - 2001

Y1 - 2001

N2 - Using a dynamic hypermedia engine (DHE), we propose to automate the following features for database systems, both on and off the Web. First we automatically generate links based on the database's relational (physical) schema and its original (non-normalized) entity-relationship specification. Second, the application developer can specify which kinds of database elements are related to diverse elements in the same or different database application, or even another software system. Our current DHE prototype illustrates these for a relational database management system. We propose integrating data warehousing applications into the DHE. We also propose incorporating data mining as a new kind of automated link generation. Passing the application element selected by a user, a data mining system that would discover interesting relationships for that element. DHE would then map each relationship to a link.

AB - Using a dynamic hypermedia engine (DHE), we propose to automate the following features for database systems, both on and off the Web. First we automatically generate links based on the database's relational (physical) schema and its original (non-normalized) entity-relationship specification. Second, the application developer can specify which kinds of database elements are related to diverse elements in the same or different database application, or even another software system. Our current DHE prototype illustrates these for a relational database management system. We propose integrating data warehousing applications into the DHE. We also propose incorporating data mining as a new kind of automated link generation. Passing the application element selected by a user, a data mining system that would discover interesting relationships for that element. DHE would then map each relationship to a link.

KW - Automated linking

KW - Data warehousing

KW - Database

KW - Database schema

KW - Dynamic Hypermedia Engine data mining

KW - E-R Diagram

KW - Hypermedia

KW - Hypertext

KW - Metadata

KW - Wrapper

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JO - Proceedings of the Hawaii International Conference on System Sciences

JF - Proceedings of the Hawaii International Conference on System Sciences

ER -

Towards hypermedia support for database systems

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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