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Linking and Building Ontologies of Linked Data Rahul Parundekar, Craig A. Knoblock and Jose Luis Ambite
 

Summary: Linking and Building Ontologies of Linked Data
Rahul Parundekar, Craig A. Knoblock and Jos┤e Luis Ambite
University of Southern California,
Information Sciences Institute and Department of Computer Science
4676 Admiralty Way, Marina del Rey, CA 90292
{parundek,knoblock,ambite}@isi.edu
Abstract. The Web of Linked Data is characterized by linking structured data
from different sources using equivalence statements, such as owl:sameAs, as well
as other types of linked properties. The ontologies behind these sources, how-
ever, remain unlinked. This paper describes an extensional approach to generate
alignments between these ontologies. Specifically our algorithm produces equiv-
alence and subsumption relationships between classes from ontologies of differ-
ent Linked Data sources by exploring the space of hypotheses supported by the
existing equivalence statements. We are also able to generate a complementary
hierarchy of derived classes within an existing ontology or generate new classes
for a second source where the ontology is not as refined as the first. We demon-
strate empirically our approach using Linked Data sources from the geospatial,
genetics, and zoology domains. Our algorithm discovered about 800 equivalences
and 29,000 subset relationships in the alignment of five source pairs from these
domains. Thus, we are able to model one Linked Data source in terms of another

  

Source: Ambite, JosÚ Luis - Information Sciences Institute & Department of Computer Science, University of Southern California

 

Collections: Computer Technologies and Information Sciences