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A Calculation Method of Attribute Similarity of Geographic Ontology Feature Instances
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A technology of attribute similarity and geographic ontology, which is applied in the field of calculation of attribute similarity of geographic ontology element instances, and can solve problems affecting similarity
Active Publication Date: 2020-09-15
WUHAN INSTITUTE OF TECHNOLOGY
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The similarity of the essential attributes of concepts based on the external feature model is not compared. In some cases, it is easy to be affected by concepts with the same external features but not exactly the same essence. Similarity results
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example 1
[0068] Example 1: I 1 with I 2 similarity
[0069] S1. Data preparation:
[0070] (1) Data conversion, transforming the basic geographic information database Geodatabase into a large-scale geographic ontology database.
[0071] (2) According to the minimum enclosing rectangle of the element, obtain the geographical ontology composed of all different types of elements and their instances within the range of the coordinates of the upper left corner (330000, 2070000) and the coordinates of the lower right corner (340000, 2080000) in the geographic ontology database. s .
[0072] S2, traverse instance I 1 with I 2 The attribute sets P and Q are obtained respectively, and the set of key attribute pairs obtained through the construction of the mapping table. The attribute pairs are: P K ={P C ,P G ,P A} and Q K ={Q C ,Q G ,Q A}.
[0073] S3. The set of key attribute pairs uses different methods to calculate the similarity according to the type of the attribute value. Th...
example 2
[0081] Example 2: I 1 with I 3 similarity
[0082] S1. Data preparation:
[0083] (1) Data conversion, transforming the basic geographic information database Geodatabase into a large-scale geographic ontology database.
[0084] (2) According to the minimum enclosing rectangle of the elements, obtain the geographic ontology Os composed of all the elements of different classifications and their instances within the range of the coordinates of the upper left corner (330000, 2070000) and the coordinates of the lower right corner (340000, 2080000) in the geographic ontology database.
[0085] S2, traverse instance I 1 with I 3 The attribute sets P and Q are obtained respectively, and the set of key attribute pairs obtained through the construction of the mapping table. The attribute pairs are: P K ={P C ,P G ,P A} and Q K ={Q C ,Q G ,Q A}.
[0086] S3. The set of key attribute pairs uses different methods to calculate the similarity according to the type of the attribu...
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Abstract
The invention discloses a calculation method for the geographic ontology element living example attribute similarity. The method comprises the following steps that a basic geographic information database is converted into a large-scale geographic ontology library to construct a geographic ontology; the geographic ontology is traversed to construct a key attribute pair set and an auxiliary attribute pair set; the key attribute pair similarity and the auxiliary attribute similarity in two living examples are calculated to calculate the comprehensive similarity of the two living examples. According to the method, the higher accuracy of element living example similarity calculation is achieved.
Description
technical field [0001] The invention relates to the field of semantic similarity calculation, and specifically realizes a calculation method for attribute similarity of geographic ontology element instances. Background technique [0002] At present, in the fields of computational linguistics and artificial intelligence, similarity measurement is one of the important methods to realize knowledge sharing, data integration and information retrieval [1]. With the development of the Semantic Web, more and more research institutions and enterprises begin to use ontology to describe the data and semantics in their field. However, due to differences in construction purposes, cognition perspectives, and construction methods among ontologies, the problem of shared bottlenecks between ontologies is prone to occur [2]. Ontology consists of instance data and concept data, so ontology similarity calculation includes ontology schema (including concepts and attributes) similarity calculati...
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