|
|
|
Library |
Ontologies |
SWETO
|
|
SWETO: Semantic Web Technology Evaluation Ontology
|
|
Description: SWETO was created to address the requirements of an ontology test-bed to support research in semantic analytics, as well as the steps in its development, including ontology creation, semi-automatic extraction, and entity disambiguation.
(Old-website)
|
|
Download:
SWETO Ontology + Schema is available under the Attribution-NonCommercial-NoDerivs 2.0

(Creative Commons)
with the following conditions taking precedence over the Creative Commons License: You may NOT distribute this work in any manner.
Publications:
- B. Aleman-Meza, C. Halaschek, A. Sheth, I.B. Arpinar and G. Sannapareddy, SWETO: Large-Scale Semantic Web Test-bed, Ontology in Action Workshop (co-located with The 16th International Conference on Software Engineering & Knowledge Engineering), pp. 490-493, Banff, Alberta, Canada, June 20-24, 2004
(also listed in: CiteSeer, Scientific Commons, Libra, citations in Google-Scholar)
- B. Aleman-Meza, A.P. Sheth, I.B. Arpinar, C. Halaschek, Semantic Web Technology Evaluation Ontology (SWETO): A test bed for evaluating tools and benchmarking applications
(Presentation: PDF, PPT), Developers Day Track, The Thirtheenth International World Wide Web Conference, NY, NY, May 17-22, 2004
Applications/Use/Citations of SWETO:
Other Details:
Of particular interest is not just the schema of the ontology, but also the population (instances, assertions or description base) of the ontology. A populated ontology (ontology with instances or assertions) is critical for core semantic issues such as semantic disambiguation as well as being necessary for checking the scalability of tools and techniques, including e.g. reasoning techniques.
An advantage of having access to both the schema of the ontology and the population of the ontology is that a class name can be understood by looking not only at the name of the class, but also by looking at the different instances that belong to that class (a class name by itself can be interpreted in different ways by different people).
SWETO was created (semi-)automatically by:
- Design of the schema using an ontology design toolkit
- Identifying knowledge sources that can be used to populate parts of SWETO
- Utilizing extractor agents (written by humans without programming using a toolkit) to periodically and automatically extract parts of knowledge from various open and public sources
- Semi-automatically disambiguating the knowledge (with limited human involvement)
- Integrating related knowledge to populate the SWETO
- Providing ability to export SWETO in RDF/RDFS and a version of OWL
SWETO is no longer actively maintained. A spin-off effort is the
SwetoDblp ontology of Computer Science publications (based on data from DBLP bibliographay).
Contact Person:
Information on this page created and maintained by -
Boanerges Aleman-Meza
This material is based upon work supported by the National Science Foundation under Grant No. IIS-0325464 titled "SemDis: Discovering Complex Relationships in Semantic Web". Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
|