The work on integrating sources and services in the Semantic Web assumes that the data is either already represented in RDF or OWL or is available through a Semantic Web Service. In practice, there is a tremendous amount of data on the Web that is not available through the Semantic Web. In this paper we present an approach to automatically discover and create new Semantic Web Services. The idea behind this approach is to start with a set of known sources and the corresponding semantic descriptions and then discover similar sources, extract the source data, build semantic descriptions of the sources, and then turn them into Semantic Web Services. We implemented an end-to-end solution to this problem in a system called Deimos and evaluated the system across five different domains. The results demonstrate that the system can automatically discover, learn semantic descriptions, and build Semantic Web Services with only example sources and their descriptions as input.
%0 Book Section
%1 AmbiteDarbhaEtAl09ISWC
%A Ambite, José Luis
%A Darbha, Sirish
%A Goel, Aman
%A Knoblock, Craig A.
%A Lerman, Kristina
%A Parundekar, Rahul
%A Russ, Thomas
%B The Semantic Web -- ISWC 2009: 8th International Semantic Web Conference, Chantilly, VA, USA
%C Berlin
%D 2009
%E Bernstein, Abraham
%E Karger, David R.
%E Heath, Tom
%E Feigenbaum, Lee
%E Maynard, Diana
%E Motta, Enrico
%E Thirunarayan, Krishnaprasad
%I Springer
%K 01624 springer paper ai semantic web service learn zzz.sw zzz.ios
%P 17--32
%R 10.1007/978-3-642-04930-9_2
%T Automatically Constructing Semantic Web Services from Online Sources
%V 5823
%X The work on integrating sources and services in the Semantic Web assumes that the data is either already represented in RDF or OWL or is available through a Semantic Web Service. In practice, there is a tremendous amount of data on the Web that is not available through the Semantic Web. In this paper we present an approach to automatically discover and create new Semantic Web Services. The idea behind this approach is to start with a set of known sources and the corresponding semantic descriptions and then discover similar sources, extract the source data, build semantic descriptions of the sources, and then turn them into Semantic Web Services. We implemented an end-to-end solution to this problem in a system called Deimos and evaluated the system across five different domains. The results demonstrate that the system can automatically discover, learn semantic descriptions, and build Semantic Web Services with only example sources and their descriptions as input.
@incollection{AmbiteDarbhaEtAl09ISWC,
abstract = {The work on integrating sources and services in the Semantic Web assumes that the data is either already represented in RDF or OWL or is available through a Semantic Web Service. In practice, there is a tremendous amount of data on the Web that is not available through the Semantic Web. In this paper we present an approach to automatically discover and create new Semantic Web Services. The idea behind this approach is to start with a set of known sources and the corresponding semantic descriptions and then discover similar sources, extract the source data, build semantic descriptions of the sources, and then turn them into Semantic Web Services. We implemented an end-to-end solution to this problem in a system called Deimos and evaluated the system across five different domains. The results demonstrate that the system can automatically discover, learn semantic descriptions, and build Semantic Web Services with only example sources and their descriptions as input.},
added-at = {2017-03-26T15:07:46.000+0200},
address = {Berlin},
author = {Ambite, Jos\'{e} Luis and Darbha, Sirish and Goel, Aman and Knoblock, Craig A. and Lerman, Kristina and Parundekar, Rahul and Russ, Thomas},
biburl = {https://www.bibsonomy.org/bibtex/2a2e573db2dba059979fd00d3fd9700d7/flint63},
booktitle = {The Semantic Web -- ISWC 2009: 8th International Semantic Web Conference, Chantilly, VA, USA},
crossref = {ISWC2009},
doi = {10.1007/978-3-642-04930-9_2},
editor = {Bernstein, Abraham and Karger, David R. and Heath, Tom and Feigenbaum, Lee and Maynard, Diana and Motta, Enrico and Thirunarayan, Krishnaprasad},
file = {SpringerLink:2009/AmbiteDarbhaEtAl09ISWC.pdf:PDF},
groups = {public},
interhash = {bfc2b8a4349942522c0741db9f0ea175},
intrahash = {a2e573db2dba059979fd00d3fd9700d7},
keywords = {01624 springer paper ai semantic web service learn zzz.sw zzz.ios},
pages = {17--32},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2017-07-13T18:01:20.000+0200},
title = {Automatically Constructing Semantic Web Services from Online Sources},
username = {flint63},
volume = 5823,
year = 2009
}