Anyanwu2005semrank question 2 by lebo
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CSCI 6966 Advanced Semantic Web (Fall 2008)
- syllabus, announcements, presentations
- Lesson 1, Lesson 2, Lesson 3, Lesson 4, Lesson 5, Lesson 6,
- Lesson 7, Lesson 8, Lesson 9, Lesson 10, Lesson 11, Lesson 12, Lesson 13
A Question from Tim Lebo about Anyanwu2005semrank:
The information content I(ps) is the addition of three terms: a ROC-aware min, a ROC-aware avg, and a non-ROC-aware max. The refraction count RC(PS) relies on the Semantic Summary, which in turn relies on the ROCs. The S-Match(property,keyword) metric relies on a property hierarchy. The final SEMRANK metric involves a (modulated) composition of five terms, four of which rely on a schema to be defined.
- Is this reliance a strength or a weakness?
- How do the metrics change as the presence, completeness, and quality of the schema changes?
Facts about Anyanwu2005semrank question 2 by leboRDF feed
| A | Question + |
| About | Anyanwu2005semrank + |
| Author | Tim Lebo + |
| Question asked | The information content I(ps) is the addit … The information content I(ps) is the addition of three terms: a ROC-aware min, a ROC-aware avg, and a non-ROC-aware max. The refraction count RC(PS) relies on the Semantic Summary, which in turn relies on the ROCs. The S-Match(property,keyword) metric relies on a property hierarchy. The final SEMRANK metric involves a (modulated) composition of five terms, four of which rely on a schema to be defined.
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| Question asked by | Tim Lebo + |
| Question for the Presentation | Alvaro Graves SemRank + |
| Text | The information content I(ps) is the addit … The information content I(ps) is the addition of three terms: a ROC-aware min, a ROC-aware avg, and a non-ROC-aware max. The refraction count RC(PS) relies on the Semantic Summary, which in turn relies on the ROCs. The S-Match(property,keyword) metric relies on a property hierarchy. The final SEMRANK metric involves a (modulated) composition of five terms, four of which rely on a schema to be defined.
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