Abstract
Several Semantic Web specific tasks such as ontology learn-
ing/extension or ontology matching rely on identifying rela-
tions between two given concepts. Scarlet1 is a technique for
discovering relations between two given concepts by explor-
ing ontologies available on the Semantic Web as a source of
background knowledge. By relying on semantic web search
engines such as Watson, Scarlet automatically identifies and
combines relevant information from multiple and heteroge-
neous online ontologies. Scarlet has already been used suc-
cessfully to support a variety of tasks, but is also available as
a stand alone component that can be reused in various other
applications. This poster will be accompanied by a demo of
Scarlet’s functionality available through its Web based user
interface.
ing/extension or ontology matching rely on identifying rela-
tions between two given concepts. Scarlet1 is a technique for
discovering relations between two given concepts by explor-
ing ontologies available on the Semantic Web as a source of
background knowledge. By relying on semantic web search
engines such as Watson, Scarlet automatically identifies and
combines relevant information from multiple and heteroge-
neous online ontologies. Scarlet has already been used suc-
cessfully to support a variety of tasks, but is also available as
a stand alone component that can be reused in various other
applications. This poster will be accompanied by a demo of
Scarlet’s functionality available through its Web based user
interface.
| Original language | English |
|---|---|
| Publication status | Published - 2008 |
Austrian Classification of Fields of Science and Technology (ÖFOS)
- 102
- 102001 Artificial intelligence
- 102015 Information systems
- 102022 Software development