• DocumentCode
    658354
  • Title

    Scalable Planning in the Semantic Web -- A Smart Factory Assembly Line Balancing Example

  • Author

    Fischer, T. ; Ruhland, Johannes

  • Author_Institution
    Dept. of Bus. Inf. Syst., Friedrich-Schiller Univ. Jena, Jena, Germany
  • Volume
    1
  • fYear
    2013
  • fDate
    17-20 Nov. 2013
  • Firstpage
    221
  • Lastpage
    226
  • Abstract
    Planning is an important reasoning capability for the Semantic Web (SW), however, it is currently not fully integrated into existing SW standards. We present a novel query language to represent objective functions and constraints through combinations of conjunctive queries which are written in terms of roles and concepts of a Description Logic (DL). Furthermore, we consider a compiler that instantiates satisfiability modulo theories problems from such a query and which responds the final solution as DL role assertions. We outline our approach on a NP-hard production planning problem that requires computation of the optimal assignment of tasks to stations based on different numerical and logical restrictions.
  • Keywords
    assembly planning; computability; description logic; production engineering computing; program compilers; query languages; semantic Web; NP-hard production planning problem; SW standards; compiler; conjunctive queries; description logic; objective functions represent; query language; satisfiability modulo theories problems; scalable planning; semantic Web; smart factory assembly line balancing; Assembly; Database languages; Ontologies; Optimization; Planning; Semantic Web; Semantics; knowledge based systems; knowledge representation; production planning; semantic web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4799-2902-3
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2013.32
  • Filename
    6690018