J. Han and R. T. Ng and Y. Fu and S. K. Dao, Dealing with Semantic Heterogeneity by Generalization-Based Data Mining , Techniques, (editor) M. P. Papazoglou and G. Schlageter, Cooperative Information Systems: Current Trends & Directions, Academic Press Netherlands, pp. 207--231, 1998.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....i.e. the analysis of database contents, should be taken into serious consideration. With generalization based data mining, a multi layer database model can be constructed by utilizing some common data access API and generalizing database contents from primitive level to multiple, higher levels [19]. A set of mutually related, generalized databases form a multi layer database. Such a multi layer database not only provides a useful architecture for intelligent query answering but also helps information exchange and interoperability among heterogeneous databases. This is because the low level ....

....relatively homogeneous infor mation which can be used for effective communication and query information transformation among multiple databases. Methods for construction and maintenance of multiplelayer databases and for information exchange among heterogeneous databases are studied in [19]. 4 Towards On Line Analytical Mining of Complex Types of Data It is challenging to extend the on line analytical mining method to complex types of data, such as complex data objects, spatial data, text and multimedia data and Web based data. Here we report our preliminary studies towards this ....

J. Hah, R. T. Ng, Y. Fu, and S. Dao. Dealing with semantic heterogeneity by generalization-based data mining techniques. In M.P. Papazoglou and G. Schlageter (eds.), Cooperative Information Systems: Current Trends Directions pages 207-231 Academic Press 1998.

....i.e. the analysis of database contents, should be taken into serious consideration. With generalization based data nfining, a multi layer database model can be constructed by utilizing some common data access API and generalizing database contents from primitive level to multiple, higher levels [19]. A set of mutually related, generalized databases form a multi layer database. Such a multi layer database not only provides a useful architecture for intelligent query answering but also helps information exchange and interoperability among heterogeneous databases. This is because the low level ....

....relatively homogeneous infor mation which can be used for effective communication and query information transformation among multiple databases. Methods for construction and maintenance of multiplelayer databases and for information exchange among heterogeneous databases are studied in [19]. 4 Towards On Line Analytical Mining of Complex Types of Data It is challenging to extend the on line analytical mining method to complex types of data, such as complex data objects, spatial data, text and multimedia data and Web based data. Here we report our preliminary studies towards this ....

J. Hah, R. T. Ng, Y. Fu, and S. Dao. Dealing with semantic heterogeneity by generalization-based data mining techniques. In M.P. Papazoglou and G. Schlageter (eds.), Cooperative Information Systems: Current Trends Directions, pages 207-231, Academic Press, 1998.

....original query, a query subsuming it (more general) may be evaluated by the system. Such approach is of special importance, when access to relations occurring in the original query is restricted to the user or when relations represent semantically ambiguous information from heterogeneous databases [4]. We based our considerations on solid mathematical foundations from many typed first order languages and from the theory of partial orderings [5,7] Next generation of database systems is intended to integrate information from different heterogeneous databases belonging to a cooperative ....

....models offer many different ways to describe the some or similar information. In order to resolve semantic heterogeneity in databases, generalization of data may be applied. As the result of the generalization, data heterogeneous at a low level of abstraction become homogenous at higher level [4]. Thus, in the process of query evaluation, if the exact answer does not exist, we can use data from different levels of generalization in order to obtain a non empty approximate answer. The paper is organized as follows. Section 2 formalizes a data model and a language in which queries can be ....

Han J. et al., Dealing with Semantic Heterogeneity by Generalization-Based Data Mining Techniques, Cooperative information Systems. Trends and Directions; Academic Press, 1998, pp. 207-231.

....data, partial orderings. 1 Introduction in conventional databases, a query written in a formal query language is accepted, evaluated against a database, and the complete set of data satisfying the query (the answer set) is returned. in some systems, however, e.g. in cooperative database systems [6, 7, 10], or in multilevel database [7] this query answer paradigm is augmented to allow the system to relax a query in some cases (e.g. when a query fails or if access privileges of the user are too low) Then an approximate answer may be provided. Relaxation of a query may consist in rewriting it into ....

....in conventional databases, a query written in a formal query language is accepted, evaluated against a database, and the complete set of data satisfying the query (the answer set) is returned. in some systems, however, e.g. in cooperative database systems [6, 7, 10] or in multilevel database [7]) this query answer paradigm is augmented to allow the system to relax a query in some cases (e.g. when a query fails or if access privileges of the user are too low) Then an approximate answer may be provided. Relaxation of a query may consist in rewriting it into a set of more general queries ....

[Article contains additional citation context not shown here]

Han J. et al., Dealing with Semantic Heterogeneity by Generalization-Based Data Mining Techniques, Cooperative information Systems. Trends and Directions, Academic Press, pp. 207-231, 1998.

....objects, databases 1. Introduction in conventional databases, a query written in a formal query language is accepted, evaluated against a database, and the complete set of data satisfying the query (the answer set) is returned. in some systems, however, e.g. in cooperative database systems [8,9,10,12,15], or in multilevel database [4,10] this query answer paradigm is augmented to allow the system to relax a query (e.g. when a query fails or if access privileges of the user are too low) Then an approximate answer may be provided. Relaxation of a query may consist in rewriting it into a set of ....

....in conventional databases, a query written in a formal query language is accepted, evaluated against a database, and the complete set of data satisfying the query (the answer set) is returned. in some systems, however, e.g. in cooperative database systems [8,9,10,12,15] or in multilevel database [4,10]) this query answer paradigm is augmented to allow the system to relax a query (e.g. when a query fails or if access privileges of the user are too low) Then an approximate answer may be provided. Relaxation of a query may consist in rewriting it into a set of more general queries [7,8,15] in ....

[Article contains additional citation context not shown here]

Han J. e! al., Dealing with Semantic Heterogeneity by Generalization-Based Data Mining Techniques, Cooperative information Systems. Trends and Directions, Academic Press, 1998, pp. 207-231.

No context found.

J. Han and R. T. Ng and Y. Fu and S. K. Dao, Dealing with Semantic Heterogeneity by Generalization-Based Data Mining , Techniques, (editor) M. P. Papazoglou and G. Schlageter, Cooperative Information Systems: Current Trends & Directions, Academic Press Netherlands, pp. 207--231, 1998.

....i.e. the analysis of database contents, should be taken into serious consideration. With generalization based data mining, a multi layer database model can be constructed by utilizing some common data access API and generalizing database contents from primitive level to multiple, higher levels [19]. A set of mutually related, generalized databases form a multi layer database. Such a multi layer database not only provides a useful architecture for intelligent query answering but also helps information exchange and interoperability among heterogeneous databases. This is because the low level ....

....high level, relatively homogeneous information which can be used for effective communication and query information transformation among multiple databases. Methods for construction and maintenance of multiplelayer databases and for information exchange among heterogeneous databases are studied in [19]. 4 Towards On Line Analytical Mining of Complex Types of Data It is challenging to extend the on line analytical mining method to complex types of data, such as complex data objects, spatial data, text and multimedia data and Web based data. Here we report our preliminary studies towards this ....

J. Han, R. T. Ng, Y. Fu, and S. Dao. Dealing with semantic heterogeneity by generalization-based data mining techniques. In M. P. Papazoglou and G. Schlageter (eds.), Cooperative Information Systems: Current Trends & Directions, pages 207--231, Academic Press, 1998.

No context found.

J. J. Han, R. T. Ng, Y. Fu, and S. Dao, " Dealing with Semantic Heterogeneity by Generalization-Based Data Mining Techniques", M. P. Papazoglou and G. Schlageter (eds.), Cooperative Information Systems: Current Trends & Directions , Academic Press, 1998, pp. 207-231.

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