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EnglishThis paper deals with learning in AL-log, a hybrid language that merges the function-free Horn clause language DATALOG and the description logic ALC. Our application context is descriptive data mining. We introduce O-queries, a rule-based form of unary conjunctive queries in AL-log, and a generality order greater than or equal toB for structuring spaces of O-queries. We define a (downward) refinement operator po for greater than or equal to (B)-ordered spaces of O-queries, prove its ideality and discuss an efficient implementation of it in the context of interest.
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| Titolo: | Ideal Refinement of Descriptions in AL-log | |
| Autori: | ||
| Data di pubblicazione: | 2003 | |
| Rivista: | ||
| Abstract: | This paper deals with learning in AL-log, a hybrid language that merges the function-free Horn clause language DATALOG and the description logic ALC. Our application context is descriptive data mining. We introduce O-queries, a rule-based form of unary conjunctive queries in AL-log, and a generality order greater than or equal toB for structuring spaces of O-queries. We define a (downward) refinement operator po for greater than or equal to (B)-ordered spaces of O-queries, prove its ideality and discuss an efficient implementation of it in the context of interest. | |
| Handle: | http://hdl.handle.net/11586/137205 | |
| ISBN: | 978-3-540-20144-1 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11586/137205
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