Screen LibraryOntology-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...
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| Group Author: | ; ; ; |
| Published: |
Springer International Publishing : Imprint: Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | 2017. |
| Literature type: | eBook |
| Language: | English |
| Series: |
SpringerBriefs in Computer Science,
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| Online Access: |
http://dx.doi.org/10.1007/978-3-319-65229-0 |
| Summary: |
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 a set of scores for a list of features, its author s preferences among the features, as well as other information is discussed in this brief. These pieces of information for every report are then combined, along with the querying user s preferences and their trust in each report, to rank the query |
| Carrier Form: | 1 online resource (VIII, 77 pages): illustrations. |
| ISBN: | 9783319652290 |
| Index Number: | QA75 |
| CLC: | TP3-05 |
| 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. |