… In this paper, we present a metaquery language based on second-order Description Logics
… of metaquery introduced by [14] for relational data mining to the novel context of KG mining. …

… Metaqueries serve as a generic description of the class of patterns to … data analysis and
pattern generation. Unlike many other discovery systems, patterns discovered using metaqueries …

… Metaquerying is a data mining technology by which hidden dependencies among …
metaquerying can be found in the literature. In this article, we define several variants of metaquerying …

… Each answer to a metaquery is a rule accompanied by two values: the … a metaquery is and
why it is significant we can compare it with the known data mining technique called “mining of …

… Metaqueries serve as a generic description of the class of patterns to … data analysis and
pattern generation. Unlike many other discovery systems, patterns discovered using metaqueries …

… warehousing and on-line services over the Internet, lalso call for various data mining … ,
on the data mining techniques developed recently A classification of the available data mining …

… Each answer to a metaquery is a rule accompanied by two values: the … a metaquery is,
and why it is significant, we can compare it with the known data mining technique called “mining …

… the taskrelevant set of data for a data mining query. Thus, in … rules to be discovered in data
mining, called metaquery, which … In their initial study of metaquery-directed data mining 10], …

… Moreover, as it easily follows from a result shown in [6], all polynomial time meta-queries
can be expressed in the language we deal with. Querying with SHQL is as natural as querying …

… Abstract-Metapattern (also known as metaquery) is a new approach for integrated data
mining systems. Different from a typical “tool-box” like integration, where components must be …