Ontology-Based Data Access Leveraging Subjective Reports
This SpringerBrief reviews the knowledge engineering problem of engineering objectivity in top-k query answering; essentially, answers must be computed taking into account the user’s preferences and a collection of (subjective) reports provided by other users. Most assume each report can be seen as...
| Main Authors: | , , , , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Series: | SpringerBriefs in Computer Science,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 1 Ontology-Based Data Access with Datalog+/-
- 2 Models for Representing User Preferences
- 3 Subjective Data: Model and Query Answering
- 4 Related Research Lines.