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SEE Unit - Home

SEE Unit - Home. The SEE research unit has a many years history at STI Innsbruck. Previous unit leaders were Dr. Federico Facca and, earlier, Dr. Michal Zaremba. Some of the unit’s past prominent outputs have been implementations of WSMO, namely, WSMX and WSMT.

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SEE Unit - Home. The SEE research unit has a many years history at STI Innsbruck. Previous unit leaders were Dr. Federico Facca and, earlier, Dr. Michal Zaremba. Some of the unit’s past prominent outputs have been implementations of WSMO, namely, WSMX and WSMT.
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SEE Unit - Home | see.sti2.at Reviews

https://see.sti2.at

SEE Unit - Home. The SEE research unit has a many years history at STI Innsbruck. Previous unit leaders were Dr. Federico Facca and, earlier, Dr. Michal Zaremba. Some of the unit’s past prominent outputs have been implementations of WSMO, namely, WSMX and WSMT.

INTERNAL PAGES

see.sti2.at see.sti2.at
1

SEE Unit - Team

http://see.sti2.at/team.php

SEE Unit - Team. 43 512 507 96884. 43 512 507 53735. 43 512 507 53733. 43 512 507 53702. 43 512 507 96874. 43 512 507 53702.

2

SEE Unit - Standardization

http://see.sti2.at/standardization.php

SEE Unit - Standardization. Semantic Web Services Architecture and Information Model. More information on OASIS can be found here. Web Service Modeling Ontology (WSMO) Submission. More information on the Web Service Modeling Ontology (WSMO) Submission can be found here.

3

SEE Unit - Publications

http://see.sti2.at/publications.php

SEE Unit - Publications.

4

SEE Unit - Projects

http://see.sti2.at/projects.php

SEE Unit - Projects. A brief descriprion of the projects our members are involved in:. Big Data Public Private Forum (BIG). OntoHealth - Problem aware Semantic eHealth Services. Opening and Processing Appliances Data for Energy Efficiency (OpenFridge). Renewable Energy Services on an Infrastructure for Data Exchange (RESIDE). The increasing reliance of business on large public data;. The need of research communities to make sense out of petabytes of scientific data, to describe and expose this data in wa...

5

SEE Unit - Home

http://see.sti2.at/tools.php

SEE Unit - Tools. Http:/ sparkwave.sti2.at. Sparkwave is a solution for continuous pattern matching over RDF data streams. It is based on the Rete algorithm, which allows efficient and truly continuous processing of streamed data. Sparkwave leverages RDF schema information associated to data streams to compute entailments, so that implicit knowledge is taken into account for pattern matching. In addition, it supports time-based sliding window to cope with the streaming nature of processed data. Web Servi...

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SEE Unit - Home. The SEE research unit has a many years history at STI Innsbruck. Previous unit leaders were Dr. Federico Facca and, earlier, Dr. Michal Zaremba. Some of the unit’s past prominent outputs have been implementations of WSMO, namely, WSMX and WSMT.

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SEE Unit - Home

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