Name
Title | ||
|---|---|---|
Knowledge-Driven Finite-State Machines. Study Case In Monitoring Industrial Equipment |
Abstract | ||
|---|---|---|
Traditionally state machines are implemented by coding the desired behavior of a given system. This work proposes the use of ontological models to describe and perform computations on state machines by using SPARQL queries. This approach represents a paradigm shift relating to the customary manner in which state machines are stored and computed. The main contribution of the work is an ontological model to represent state machines and a set of generic queries that can be used in any knowledge-driven state machine to compute valuable information. The approach was tested in a study case were the state machines of industrial robots in a manufacturing line were modeled as ontological models and used for monitoring the behavior of these devices on real time. |
Year | Venue | Keywords |
|---|---|---|
2015 | PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) | Finite-State Machine, ontology, knowledge-driven manufacturing, OWL, SPARQL, industrial monitoring |
Field | DocType | ISSN |
Ontology (information science),Ontology,Data mining,Paradigm shift,Real-time computing,Finite-state machine,Coding (social sciences),SPARQL,Engineering,Robot,Computation,Distributed computing | Conference | 1935-4576 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis E. Gonzalez Moctezuma | 1 | 10 | 3.11 |
| Borja Ramis Ferrer | 2 | 28 | 9.98 |
| Xiangbin Xu | 3 | 0 | 0.34 |
| Andrei Lobov | 4 | 153 | 19.95 |
| Jose L. Martinez Lastra | 5 | 313 | 44.24 |