Abstract

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 finding 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 find 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 find inconsistencies and use them to identify the instances that may be erroneously aligned.

Date

October 23, 2011

Authors

Rahul Parundekar, José Luis Ambite, Craig A Knoblock

Journal

Terra Cognita 2011 Workshop Foundations, Technologies and Applications of the Geospatial Web

Pages

37