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@INPROCEEDINGS{Ihsan:1046188,
      author       = {Ihsan, Ahmad Zainul and Fathalla, Said and Sandfeld,
                      Stefan},
      title        = {{DISO}: {A} {D}omain {O}ntology for {M}odeling
                      {D}islocations in {C}rystalline {M}aterials},
      publisher    = {ACM New York, NY, USA},
      reportid     = {FZJ-2025-03724},
      pages        = {1746 - 1753},
      year         = {2023},
      abstract     = {Crystalline materials, such as metals and semiconductors,
                      nearly always contain a special defect type called
                      dislocation. This defect decisively determines many
                      important material properties, e.g., strength, fracture
                      toughness, or ductility. Over the past years, significant
                      effort has been put into understanding dislocation behavior
                      across different length scales via experimental
                      characterization techniques and simulations. This paper
                      introduces the dislocation ontology (DISO), which defines
                      the concepts and relationships related to linear defects in
                      crystalline materials. We developed DISO using a top-down
                      approach in which we start defining the most general
                      concepts in the dislocation domain and subsequent
                      specialization of them. DISO is published through a
                      persistent URL following W3C best practices for publishing
                      Linked Data. Two potential use cases for DISO are presented
                      to illustrate its usefulness in the dislocation dynamics
                      domain. The evaluation of the ontology is performed in two
                      directions, evaluating the success of the ontology in
                      modeling a real-world domain and the richness of the
                      ontology.},
      month         = {Mar},
      date          = {2023-03-27},
      organization  = {SAC '23: 38th ACM/SIGAPP Symposium on
                       Applied Computing, Tallinn (Estonia),
                       27 Mar 2023 - 31 Mar 2023},
      cin          = {IAS-9},
      cid          = {I:(DE-Juel1)IAS-9-20201008},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)8},
      UT           = {WOS:001124308100245},
      doi          = {10.1145/3555776.3578739},
      url          = {https://juser.fz-juelich.de/record/1046188},
}