Publication
IASelect: finding best-fit agent practices in industrial CPS using graph databases
dc.contributor.author | Sharma, Chandan | |
dc.contributor.author | Sinha, Roopak | |
dc.contributor.author | Leitão, Paulo | |
dc.date.accessioned | 2020-03-31T09:58:09Z | |
dc.date.available | 2020-03-31T09:58:09Z | |
dc.date.issued | 2019 | |
dc.description.abstract | The ongoing fourth Industrial Revolution depends mainly on robust Industrial Cyber-Physical Systems (ICPS). ICPS includes computing (software and hardware) abilities to control complex physical processes in distributed industrial environments.Industrialagents,originatingfromthewell-established multi-agent systems field, provide complex and cooperative control mechanisms at the software level, allowing us to develop larger and more feature-rich ICPS. The IEEE P2660.1 standardisation project, ”Recommended Practices on Industrial Agents: Integration of Software Agents and Low Level Automation Functions” focuses on identifying Industrial Agent practices that can benefit ICPS systems of the future. A key problem within this project is identifying the best-fit industrial agent practices for a given ICPS. This paper reports on the design and development of a tool to address this challenge. This tool, called IASelect, is built using graph databases and provides the ability to flexibly and visually query a growing repository of industrial agent practices relevant to ICPS. IASelect includes a front-end that allows industry practitioners to interactively identify best-fit practices without having to write manual queries. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Sharma, Chandan; Sinha, Roopak ;Leitão, Paulo (2019). IASelect: finding best-fit agent practices in industrial CPS using graph databases. In 17th International Conference on Industrial Informatics (INDIN’19). Helsinki-Espoo; Finland. p.1558-1563 | pt_PT |
dc.identifier.doi | 10.1109/INDIN41052.2019.8972272 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10198/21256 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Cyber-physical systems | pt_PT |
dc.subject | Industrial agents | pt_PT |
dc.subject | Graph database | pt_PT |
dc.subject | Interfacing practices | pt_PT |
dc.title | IASelect: finding best-fit agent practices in industrial CPS using graph databases | pt_PT |
dc.type | conference paper | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Helsinki-Espoo; Finland | pt_PT |
oaire.citation.endPage | 1563 | pt_PT |
oaire.citation.startPage | 1558 | pt_PT |
oaire.citation.title | 17th International Conference on Industrial Informatics (INDIN’19) | pt_PT |
person.familyName | Leitão | |
person.givenName | Paulo | |
person.identifier | A-8390-2011 | |
person.identifier.ciencia-id | 8316-8F13-DA71 | |
person.identifier.orcid | 0000-0002-2151-7944 | |
person.identifier.scopus-author-id | 35584388900 | |
rcaap.rights | restrictedAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
relation.isAuthorOfPublication | 68d9eb25-ad4f-439b-aeb2-35e8708644cc | |
relation.isAuthorOfPublication.latestForDiscovery | 68d9eb25-ad4f-439b-aeb2-35e8708644cc |