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Developing an Ontology for Irrigation Information Resources *Cornejo, C., H.W. Beck, D.Z. Haman, F.S. Zazueta. University of Florida Gainesville, FL. USA.

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Presentation on theme: "Developing an Ontology for Irrigation Information Resources *Cornejo, C., H.W. Beck, D.Z. Haman, F.S. Zazueta. University of Florida Gainesville, FL. USA."— Presentation transcript:

1 Developing an Ontology for Irrigation Information Resources *Cornejo, C., H.W. Beck, D.Z. Haman, F.S. Zazueta. University of Florida Gainesville, FL. USA

2 Content  Objective  ObjectEditor  Irrigation Ontology  Conclusions  Future Work

3 Overall Project Objectives  Production of Personalized Illustration-based Extension Manuals for Illiterate farmers in developing countries.  To develop culture specific (localized) educational materials.

4 ObjectEditor

5  Is an ontology management system that includes a formally defined ontology language which also acts as a data modeling language for the database  This is a web-based tool that consists on a graphic interface to create the concepts and relationships that are part of a domain specific ontology.

6 ObjectEditor Provides:  Tools for inspecting and editing the ontology  Operations for manipulating the ontology (reasoners)  Secondary storage management to support efficient processing of these operations

7 ObjectEditor  Classes Subclasses  Instances  Relationship types: Generalization Part-of Sequence Association

8 Irrigation Ontology

9 Domain Ontology  Ontology is a structure to describe a domain’s concepts as well as multiple relationships among those concepts.  An ontology formally describes a domain; it provides a generic way to reuse and share content across applications and groups.

10 Ontology Development  Define the domain, objectives, and scope of the ontology  Enumerate important concepts within the ontology’s domain  Define concepts, and/or its properties  Define the hierarchy of the concepts  Define the relationships among the concepts

11 Irrigation Ontology Objectives  Create an irrigation ontology to support management and storage of information, and knowledge sharing for the development of educational resources for small farmers.

12 Irrigation Ontology Objectives  To develop an ontology that will collect and organize terminology and concepts related to the irrigation domain.  Allow information sharing and agreement on the terms used by experts in the field.

13 Irrigation Ontology  Domain: Irrigation concepts to develop educational materials for small farmers with low literacy level.  Define Main Topics: Discussion among experts  Hierarchy Mostly Top-down  Relationships

14 Sources of Information  Land and Water Development Division of the Food and Agricultural Organization (FAO)  American Society of Agricultural Engineering (ASAE)  United States National Agricultural Library Thesaurus (NALT)  Extension Data Information Source (EDIS) and Experts from the University of Florida

15 Main Topics PlantIrrigationManagement Soil DrainageEquipment Water SourcesSystem DesignWeather

16 Irrigation Ontology Development Class Sub-class Association Sequence Generalization

17 Part-of relationship Pressurized Irrigation Lateral Manifold Distribution Equipment

18 Generalization relationship Micro-catchment Contour Farming Earth Basin Planting Pit Stone Lines BundRidge Triangular Semi-circular

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20 Content  Different formats can be stored in the irrigation ontology: Text Numeric (equations) Graphics Audiovisual

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23 Conclusions

24  Ontology can represent irrigation knowledge and store concepts  The ObjectEditor based ontology can store information in multiple media like text, graphics, numerical, and mathematical equations.  The materials could be generated in different formats like PDF files for printing, or as html files for web pages.

25 PDF

26 Illustrations based materials

27 Conclusions  Allows more easy collaboration among specialist  Capability of reusing existing information  It would also allow the management of a larger amount of data  Improved searching capabilities compared to the actual browsers

28 Future Work

29  Include Scalable Vector Graphics (SVG) illustrations in ObjectEditor Merge ObjectEditor with GraphicsEditor  Create an interface for the final users (e.g., extension agents, educators)  Increase searching capabilities

30 GraphicsEditor  Add SVG capabilities to ObjectEditor: Localization Reusability Format independent

31 SVG illustrations  Localization: Inclusion of culture specific characteristics Increases understanding by users

32 Questions or Comments? http://orb.ifas.ufl.edu/ObjectEditor/index.html Thank you!


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