Abstract

Linked data is characterized by defining links between Semantic Web data resources using equivalence statements such as owl: sameAs, as well as other types of properties. Despite the increase in the number of linked instances in recent times, the absence of links at the concept level has resulted in heterogeneous schemas, challenging the interoperability goal of the Semantic Web. For example, out of the 190 linked data sources surveyed in the latest census1, only 15 have mappings between their ontologies. The problem of schema linking, such as schema matching in databases and ontology alignment in the Semantic Web, has received much attention [77, 89,191,206]. Many approaches for linking schemas have been developed, including techniques that exploit linguistic, terminological, structural, or extensional properties of the sources. In this chapter we present a novel extensional approach to generate …

Metadata

publication

Linked Data Management, 49-68, 2014

year

2014

publication date

2014

authors

Rahul Parundekar, Craig A Knoblock, José Luis Ambite

link

https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/b16859-9&type=chapterpdf

resource_link

https://usc-isi-i2.github.io/papers/parundekar14-ldmgmt.pdf

book

Linked Data Management

pages

49-68