Defining degree of semantic similarity using description logic tools
نویسندگان
چکیده
Establishing the semantic similarity of information is an integral part process solving any retrieval tasks, including tasks related to big data processing, discovery web services, categorization and classification information, etc. The special functions determine quantitative indicators degree allow ranking found on its proximity purpose or search request/template. Forming such measures should take into account many aspects from meanings matched concepts specifics business-task in which it done. Usually, construct functions, approaches are combined with structural ones, provide syntactic comparison descriptions. This allows do descriptions more detail, impact matching can be significantly reduced by using expressive descriptive logics represent moving focus properties. Today, DL-ontologies most developed tools for representing semantics, mechanisms reasoning (DL) possibility logical inference. Most estimates presented this paper based basic DLs that support only intersection constructor, but described applied DL provides services. article contains analysis existing approaches, models logics. Classification estimation methods both levels defining types proposed. main attention paid establishing between (conceptual level models). task value instances concept instance consists finding specific / evaluating concepts. term existential introduced. In examples applying certain evaluate notions and/or knowledge geometry ontology demonstrated.
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ژورنال
عنوان ژورنال: Problemy programmirovaniâ
سال: 2021
ISSN: ['1727-4907']
DOI: https://doi.org/10.15407/pp2021.02.024