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The State of Kansas gradually increases in elevation from the east to the west. As such, "Mount" Sunflower, while the highest point in the state in terms of elevation, Department of Computer Science Data Semantics Laboratory is


  1. The State of Kansas gradually increases in elevation from the east to the west. As such, "Mount" Sunflower, while the highest point in the state in terms of elevation, Department of Computer Science Data Semantics Laboratory is virtually indistinguishable from the surrounding terrain. http://dase.cs.ksu.edu/

  2. Tuttle Creek! Department of Computer Science Data Semantics Laboratory http://dase.cs.ksu.edu/

  3. Manhattan, KS Department of Computer Science Data Semantics Laboratory http://dase.cs.ksu.edu/

  4. MODL: A Modular Ontology Design Library Cogan Shimizu, Quinn Hirt, Pascal Hitzler Department of Computer Science Data Semantics Laboratory http://dase.cs.ksu.edu/

  5. Outline ● What is MODL? ● Why do this? ● How did we do this? ● Next Steps Department of Computer Science Data Semantics Laboratory http://dase.cs.ksu.edu/

  6. MODL A well-documented, curated collection of ontology design patterns for use in Modular Ontology Modeling. Department of Computer Science Data Semantics Laboratory http://dase.cs.ksu.edu/

  7. Purpose ● Improve Approachability of Pattern-Based Modular Ontology Engineering ● Improve Pattern Discovery ● A shareable artifact ● An easier way to interface with tools Department of Computer Science Data Semantics Laboratory http://dase.cs.ksu.edu/

  8. Methodology ● Documentation ○ Schema Diagram ○ Summary of Use ○ Axiomatization ○ Explanation / Natural Language of Axioms ○ Example Competency Questions ● OWL File ○ OPLa annotations ● Top Level OPLa Ontology Department of Computer Science Data Semantics Laboratory http://dase.cs.ksu.edu/

  9. Categories and Patterns ● The categories are informal, yet hopefully intuitive way of organizing the patterns ● Metapatterns are “patterns for patterns” and are also known as “structural patterns” in other literature. ● Specializations of some patterns are included due to their usefulness and frequent recurrence Department of Computer Science Data Semantics Laboratory 9 http://dase.cs.ksu.edu/

  10. Next Steps ● More patterns (Processes, Plans, Activities) ● Landing Pages, resolvable URIs? ● Improve Use case documentation ● Utilize OPLa extensions ● Alternate Pattern Representations ○ Popular Upper level ontology alignments (BFO, UFO, Dolce) ○ OTTR ● Tooling Infrastructure ○ Bespoke MODLs ○ Automatic Documentation ○ CoModIDE Department of Computer Science Data Semantics Laboratory http://dase.cs.ksu.edu/

  11. Thanks!! Any Questions or Comments? Offline questions can be e-mailed to: cogan@coganshimizu.com Department of Computer Science Data Semantics Laboratory http://dase.cs.ksu.edu/

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