SALT represents an authoring and annotation framework helping the authors to enrich their scientific publications with semantic annotations. The framework is composed by two parts:
* The ontological foundation - is represented by a federation of three ontologies having its roots in the Rhetorical Structure Theory (RST)
* The annotation mechanism - which relies on the textual environment for which SALT was created, i.e. LaTeX
Using the usual LaTeX and a series of new ones (although respecting the usual format), one can easily trasform a normal document in a semantic document. In practice, the annotation process is interleaved with the authoring process. Thus, after compiling the LaTeX document, the resulted PDF document will contain the annotations embedded while writing. For detailed information on the ontology schema and on how to use SALT, please consult the documentation provided on the site.
SIMILE is focused on developing robust, open source tools based on Semantic Web technologies that improve access, management and reuse among digital assets.
The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that
DBin is a Semantic Web application that enables groups of users
with a common interest to cooperatively create semantically
structured knowledge bases. These user groups, which we call
“Semantic Web Communities”, are made possible by creating
customized user environments called “Brainlets”. Brainlets
provide user interfaces and domain specific tools (e.g. querying,
viewing and editing facilities) which enable community
participants to interact with the data of interest. Brainlets are
directly created by domain experts using an XML description
language. DBin clients communicate and exchange annotations
using a P2P infrastructure. Access control and digital signatures
put by DBin inside the authored RDF enable trust and information
filtering. In this paper we show a specific use case where a
“Semantic Web Community” is created to enable a group of users
to share their del.icio.us tags and organize them into a
cooperatively built RDFS ontology.
M. Tan, E. Posthumus, and H. Sack. The Semantic Web: ESWC 2022 Satellite Events - Hersonissos, Crete, Greece, May 29 - June 2, 2022, Proceedings, volume 13384 of Lecture Notes in Computer Science, page 148--152. Springer, (2022)
G. Gottlob, G. Orsi, and A. Pieris. (2011)cite arxiv:1112.0343Comment: Extended version of "Ontological Queries: Rewriting and Optimization" presented at ICDE 2011.
H. Elasri, A. Sekkaki, and L. Kzaz. (2011)cite arxiv:1110.4501Comment: IEEE New Technologies of Distributed Systems (NOTERE), 2011 11th Annual International Conference; ISSN: 2162-1896 Print ISBN: 978-1-4577-0729-2 INSPEC Accession Number: 12122775 2011.
A. Martin, D. Maladhy, and V. Venkatesan. (2011)cite arxiv:1109.1088Comment: Classification, Ontology, Business Intelligence, Datamining, Inverted Index, Ontology Tree Index.
Y. Sure, S. Bloehdorn, P. Haase, J. Hartmann, and D. Oberle. Proceedings of the 12th Portuguese Conference on Artificial Intelligence - Progress in Artificial Intelligence (EPIA 2005), volume 3803 of LNCS, page 218 - 231. Covilha, Portugal, Springer, (December 2005)
D. Laniado, D. Eynard, and M. Colombetti. Semantic Web Application and Perspectives - Fourth Italian Semantic Web Workshop, page 192--201. (December 2007)