Contradictory Ambiguous Revocable Assertion Tracker (CARAT) Encoding
How data is encoded in a knowledge graph directly influences what can be done with that data. A common problem with many encodings is that they have difficulty representing ambiguity and evolution inherent in many real-world data sets. The data encoding represented in this paper (called CARAT) is a graph-level description of our attempt to capture data that is contradictory, ambiguous and evolves over time (including deleting information). The data encoding relies on tracking assertions about subjects rather than directly tracking states. This encoding decision resolves many issues our team had experienced using other data encodings but produces a a larger graph. This is a preliminary presentation of our CARAT data encoding and our experience using it.
Authors
- Joseph A. Cottam
- Sumit Purohit (ORCID: https://orcid.org/0000-0002-6483-486X)
- Patrick Mackey
- George Chin
Institutions
- Pacific Northwest National Laboratory (US)
Publication Details
- Published
- 2024-12-15
- DOI
- https://doi.org/10.1109/bigdata62323.2024.10825711
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00