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Abstraction and Visualization to Support Access to NPO’s Structure and Content

Explore the power of Abstraction Networks (AbNs) in visualizing ontologies and supporting Non-Profit Organizations (NPOs) by summarizing concept relationships, creating taxonomies, and enhancing content access. See how BLUOWL software aids in taxonomy-based browsing for smoother ontology navigation.

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Abstraction and Visualization to Support Access to NPO’s Structure and Content

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  1. Abstraction and Visualization to Support Access to NPO’s Structure and Content Michael Halper, Vladimir Ventura, Yehoshua Perl SABOCNew Jersey Institute of Technology Newark, NJ 07102

  2. Overview • Abstraction Networks (“AbNs”) for Ontologies • Two example AbNs: • Area taxonomy • Partial-area taxonomy • BLUOWL: taxonomy-based software tool • Application to the NPO • Conclusions

  3. Ontology Excerpt Parameter unit of measurement frequency unit wave parameter length unit unit of velocity wave amplitude wavelength wave speed wave frequency has_unit_of_measure IS-A amplitude of sound wave wavelength of sound speed of sound wave frequency of sound wave

  4. Abstraction Networks (“AbNs”) • An abstraction network (“AbN”) is derived from an ontology’s content and structure and provides a compact (summarization) view • AbNs group “similar” concepts together and represent them using a single node • Nodes are organized into a hierarchy

  5. Area and Partial-Area Taxonomies • Area taxonomy summarizes structurally similar concepts • Partial-area taxonomy refines the area taxonomy into hierarchically related groups of concepts • Will review derivation using examples from NPO

  6. Area Taxonomy Derivation Areas An area is a set of concepts that share the same relationship structure (structurally similar)

  7. Partial-Area Taxonomy Derivation • Root: A concept with no parents in its area • Partial-area: A root + all its descendants in the area (structurally similar and clustered similarly) Root

  8. Overlapping Concepts • Partial-areas are not necessarily disjoint • A concept residing in two or more partial-areas is called an overlapping concept overlapping

  9. Overlapping Metrics

  10. Applications of Taxonomies • QA (inconsistency detection and improved modeling) • Summarization • Navigation • Proposed: • Support of ontology development • Support of various biomedical applications where similar concepts need to be identified

  11. Taxonomy-Based Software Tool • BLUOWL • Automatic generation of a variety of taxonomy views • Concept-level browsing based on those views • Aids for QA guidelines

  12. NPO Taxonomies • Based on the inferred view of the NPO • Relationships (object properties) defined in terms of domains • And/or relationships defined as restrictions on concepts

  13. Conclusions • Taxonomies are useful tools for getting a high-level view of NPO while ignoring minutiae • BLUOWL automatically generates the taxonomies and permits customized browsing • BLUOWL was demonstrated on the NPO • Plan to work next on ChEBI

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