### Abstract

Due to the complexity of real-world applications, the number of databases and the volumes of data in databases have increased tremendously. With the explosive growth in the amount and complexity of data, how to effectively organize the databases and utilize the huge amount of data becomes important. For this purpose, a probabilistic network that organizes a network of databases and manages the data in the databases is proposed in this paper. Each database is represented as a node in the probabilistic network and the affinity relations of the databases are embedded in the proposed Markov model mediator (MMM) mechanism. Probabilistic reasoning technique is used to formulate and derive the probability distributions for an MMM. Once the probability distributions of each MMM are generated, a stochastic process is conducted to calculate the similarity measures for pairs of databases. The similarity measures are transformed into the branch probabilities of the probabilistic network. Then, the data in the database can be managed and utilized to allow user queries for database searching and information retrieval. An example is included to illustrate how to model each database into an MMM and how to organize the network of databases into a probabilistic network.

Original language | English (US) |
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Title of host publication | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |

Publisher | IEEE |

Pages | 1990-1995 |

Number of pages | 6 |

Volume | 3 |

State | Published - 2000 |

Event | 2000 IEEE International Conference on Systems, Man and Cybernetics - Nashville, TN, USA Duration: Oct 8 2000 → Oct 11 2000 |

### Other

Other | 2000 IEEE International Conference on Systems, Man and Cybernetics |
---|---|

City | Nashville, TN, USA |

Period | 10/8/00 → 10/11/00 |

### Fingerprint

### ASJC Scopus subject areas

- Hardware and Architecture
- Control and Systems Engineering

### Cite this

*Proceedings of the IEEE International Conference on Systems, Man and Cybernetics*(Vol. 3, pp. 1990-1995). IEEE.

**Organizing a network of databases using probabilistic reasoning.** / Shyu, Mei-Ling; Chen, Shu Ching; Kashayp, R. L.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the IEEE International Conference on Systems, Man and Cybernetics.*vol. 3, IEEE, pp. 1990-1995, 2000 IEEE International Conference on Systems, Man and Cybernetics, Nashville, TN, USA, 10/8/00.

}

TY - GEN

T1 - Organizing a network of databases using probabilistic reasoning

AU - Shyu, Mei-Ling

AU - Chen, Shu Ching

AU - Kashayp, R. L.

PY - 2000

Y1 - 2000

N2 - Due to the complexity of real-world applications, the number of databases and the volumes of data in databases have increased tremendously. With the explosive growth in the amount and complexity of data, how to effectively organize the databases and utilize the huge amount of data becomes important. For this purpose, a probabilistic network that organizes a network of databases and manages the data in the databases is proposed in this paper. Each database is represented as a node in the probabilistic network and the affinity relations of the databases are embedded in the proposed Markov model mediator (MMM) mechanism. Probabilistic reasoning technique is used to formulate and derive the probability distributions for an MMM. Once the probability distributions of each MMM are generated, a stochastic process is conducted to calculate the similarity measures for pairs of databases. The similarity measures are transformed into the branch probabilities of the probabilistic network. Then, the data in the database can be managed and utilized to allow user queries for database searching and information retrieval. An example is included to illustrate how to model each database into an MMM and how to organize the network of databases into a probabilistic network.

AB - Due to the complexity of real-world applications, the number of databases and the volumes of data in databases have increased tremendously. With the explosive growth in the amount and complexity of data, how to effectively organize the databases and utilize the huge amount of data becomes important. For this purpose, a probabilistic network that organizes a network of databases and manages the data in the databases is proposed in this paper. Each database is represented as a node in the probabilistic network and the affinity relations of the databases are embedded in the proposed Markov model mediator (MMM) mechanism. Probabilistic reasoning technique is used to formulate and derive the probability distributions for an MMM. Once the probability distributions of each MMM are generated, a stochastic process is conducted to calculate the similarity measures for pairs of databases. The similarity measures are transformed into the branch probabilities of the probabilistic network. Then, the data in the database can be managed and utilized to allow user queries for database searching and information retrieval. An example is included to illustrate how to model each database into an MMM and how to organize the network of databases into a probabilistic network.

UR - http://www.scopus.com/inward/record.url?scp=0034508083&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034508083&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0034508083

VL - 3

SP - 1990

EP - 1995

BT - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

PB - IEEE

ER -