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异构数据源集成

  • 资源大小:7.56 MB
  • 上传时间:2021-06-30
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  • 资源积分:1积分
  • 标      签: 集成 数据源

资 源 简 介

A Framework to support Integration Of Heterogeneous Ontology Extended Data Sources. A framework that employs ontologies, inter-ontology mappings and conversion functions, to enable a user or an application to view a collection of physically distributed, autonomous, semantically heterogeneous data sources as though they were a collection of tables structured according to an ontology supplied by the user. In the framework the individual data sources can be Ontology Extended Data Sources and the system is able to answer queries that include ontological constructs such as equivalent class, superclass and subclass respectively. The user poses the queries in SQL like syntax (INDUS SQL) which overloads the equalto, greater than and less than symbols ("=", “<” and “>”) to imply equivalent class, subclass and superclass respectively. Additionally the system can be configured to imply “=” in INDUS SQL as a IS-A relationship existing in the ontol

文 件 列 表

iif_0.1.1.jar
setup
movieExample
indus_test_database.sql
lib
matheval
pellet_jars
Zql.jar
commons-lang-2.2.jar
junit-4.4.jar
log4j-1.2.15.jar
mysql-connector-java-5.0.7-bin.jar
postgresql-8.1-410.jdbc3.jar
src
java
test
build.xml
iif.bat
examples
config-example-1
config-example-2
config-example-4
config-example-5
indus_example-2
INDUS_GUIDE.pdf

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