Abstract

Even though the Linked Data movement is constantly gaining ground, a huge chunk of information is still present in the traditional web of human readable pages. Data from such sources in the Surface Web and the Deep Web needs to be published as structured data into the Linked Data Web. The work described in this paper, links the individuals in the RDF extracted from such sources with individuals already present in the linked data cloud. The extraction of structured data from these sources is based on our prior work on automatically generating Semantic Web Services from web sources. Once we are able to link individuals of the generated Semantic Web Service with the data present in the linked data cloud, we can populate data from Deep Web sources belonging to different domains into the Linked Data Web. The contribution of the system is that it not only integrates known sources from the Deep Web into the linked data web but also links previously unknown, similar sources, and helps generate potentially huge amount of structured data.

Metadata

publication

2010 AAAI Spring Symposium Series, 2010

year

2010

publication date

2010

authors

Rahul Parundekar, Craig A Knoblock, José Luis Ambite

link

https://cdn.aaai.org/ocs/1176/1176-5967-1-PB.pdf

resource_link

https://cdn.aaai.org/ocs/1176/1176-5967-1-PB.pdf

conference

AAAI Spring Symposium: Linked Data Meets Artificial Intelligence