Aligning Unions of Concepts in Ontologies of Geospatial Linked Data

Terra Cognita 2011.

地球科学;计算机科学

Rahul Parundekar ; Jose Luis Ambite ; Craig A. Knoblock

Others  :  http://ceur-ws.org/Vol-798/paper4.pdf
PID  :  40855

学科分类：计算机科学（综合）

来源: CEUR

【 摘 要 】

It is evident from the recent growth in Geospatial Linked Data that even though the number of instances being generated and linked has increased drastically, the ontologies behind these sources remain disconnected. Though we can agree that the instances being linked are equivalent, the alignments that are extrapolated from these links between the concepts may or may not agree with our intuitions. It is important to investigate how the concepts in the sources are actually aligned. Our previous work was successful in nding alignments, such as equivalence and subset relations, between concepts of two sources, using the instances that are linked as equal. Such alignments need not be trivial, however, as a concept in the ontology might not have an exact equivalent class in the other source. In this paper we propose a method that uses the subset and equivalence relations between restriction classes found by our previous work to nd new alignments, where one (larger) concept of a source is aligned to the union of multiple (smaller) concepts from another source. We also show that we can use these alignments to nd inconsistencies and use them to identify the instances that may be erroneously aligned.