For the past three decades, interoperability among heterogeneous systems had been a hard nut to crack due to the schematic and semantic perspectives that exist between objects. These systems were built under different...For the past three decades, interoperability among heterogeneous systems had been a hard nut to crack due to the schematic and semantic perspectives that exist between objects. These systems were built under different data models. As such, levels of the local schemas are semantically very poor due to the limited expressiveness of traditional data models in which they were designed. Further more, most of the existing schema integration architectural components are inadequately equipped to handle the mapping schemas, especially when the semantics and structural conflicts are involved. This paper introduces an Intelligent Binary Schema Matching system (IBSMS), which exploits the phenomenon of making its components intelligent. That’s equipping its components such as translators and integrators with adequate knowledge about various data models. This allows the components acquire enough intelligence to maneuver or manipulate the correspondence between constructs from different models. In addition, the system has a Binary Matcher, which compares the attribute correspondences of various databases in a pairwise form, in order to establish the equivalences. With the establishment of the mappings, the users shall be able to access them (mappings) for their desired usage.展开更多
作为一种广为接受的语义数据模型,E-R模型被广泛地应用于数据库设计阶段.但是E-R模型自身却存在某些缺陷,这些缺陷制约了对其进一步的应用.针对E-R模型的改进,目前主要存在基于图形表示和描述性逻辑表示两种途径.但是,前者仍然不具有自...作为一种广为接受的语义数据模型,E-R模型被广泛地应用于数据库设计阶段.但是E-R模型自身却存在某些缺陷,这些缺陷制约了对其进一步的应用.针对E-R模型的改进,目前主要存在基于图形表示和描述性逻辑表示两种途径.但是,前者仍然不具有自动推理能力,而后者却存在表示能力弱、与数据库兼容性不足等缺陷.为克服以上缺陷,提出一种利用回答集编程(answer set programming)表示E-R模型的新方法.首先,对应于数据库的E-R模式被区分为基本和扩展两种类型,并分别完成它们的语法与语义定义.其次,利用回答集编程完成以上两类模式的逻辑编程表示.最后,完成表示的正确性证明.提出的方法不仅为E-R模型提供了一种新的逻辑表示途径,而且相对原有的两种E-R模型改进途径具有明显的优势.更为重要的是该研究成果使得应用E-R模型实现异构数据库之间的语义协作成为可能.展开更多
In this paper, we first briefly introduce the concepts of clickstream data and data warehouse, analyze twoexisting clickstream star schema click star schema and session star schema in webhouse, then induce a new mod-e...In this paper, we first briefly introduce the concepts of clickstream data and data warehouse, analyze twoexisting clickstream star schema click star schema and session star schema in webhouse, then induce a new mod-el transaction star model based on them, and expressed the method of bringing out the model. Comparing withthe two schemas mentioned above, its most apparent speciality is that it includes a series of meaningful page-view se-quence rather than a single click. Thus, on the one hand it improves the query performance of data, on the other handit is in favor of executing more deepen analysis data mining, and simplifies the process of data pretreatment. Atlast ,the paper verifies its' feasibility and validity using association rules based on the model.展开更多
文摘For the past three decades, interoperability among heterogeneous systems had been a hard nut to crack due to the schematic and semantic perspectives that exist between objects. These systems were built under different data models. As such, levels of the local schemas are semantically very poor due to the limited expressiveness of traditional data models in which they were designed. Further more, most of the existing schema integration architectural components are inadequately equipped to handle the mapping schemas, especially when the semantics and structural conflicts are involved. This paper introduces an Intelligent Binary Schema Matching system (IBSMS), which exploits the phenomenon of making its components intelligent. That’s equipping its components such as translators and integrators with adequate knowledge about various data models. This allows the components acquire enough intelligence to maneuver or manipulate the correspondence between constructs from different models. In addition, the system has a Binary Matcher, which compares the attribute correspondences of various databases in a pairwise form, in order to establish the equivalences. With the establishment of the mappings, the users shall be able to access them (mappings) for their desired usage.
文摘作为一种广为接受的语义数据模型,E-R模型被广泛地应用于数据库设计阶段.但是E-R模型自身却存在某些缺陷,这些缺陷制约了对其进一步的应用.针对E-R模型的改进,目前主要存在基于图形表示和描述性逻辑表示两种途径.但是,前者仍然不具有自动推理能力,而后者却存在表示能力弱、与数据库兼容性不足等缺陷.为克服以上缺陷,提出一种利用回答集编程(answer set programming)表示E-R模型的新方法.首先,对应于数据库的E-R模式被区分为基本和扩展两种类型,并分别完成它们的语法与语义定义.其次,利用回答集编程完成以上两类模式的逻辑编程表示.最后,完成表示的正确性证明.提出的方法不仅为E-R模型提供了一种新的逻辑表示途径,而且相对原有的两种E-R模型改进途径具有明显的优势.更为重要的是该研究成果使得应用E-R模型实现异构数据库之间的语义协作成为可能.
文摘In this paper, we first briefly introduce the concepts of clickstream data and data warehouse, analyze twoexisting clickstream star schema click star schema and session star schema in webhouse, then induce a new mod-el transaction star model based on them, and expressed the method of bringing out the model. Comparing withthe two schemas mentioned above, its most apparent speciality is that it includes a series of meaningful page-view se-quence rather than a single click. Thus, on the one hand it improves the query performance of data, on the other handit is in favor of executing more deepen analysis data mining, and simplifies the process of data pretreatment. Atlast ,the paper verifies its' feasibility and validity using association rules based on the model.
