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|a 9781614997344
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|a UAMI
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| 100 |
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|a Zese, Riccardo,
|e author.
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| 245 |
1 |
0 |
|a Probabilistic semantic web :
|b reasoning and learning /
|c Riccardo Zese.
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| 264 |
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|a Amsterdam, Netherlands :
|b IOS Press,
|c [2017]
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| 300 |
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|a 1 online resource (xvi, 173 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
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|a data file
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| 490 |
1 |
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|a Studies on the semantic web,
|x 2215-0870 ;
|v vol. 028
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| 504 |
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|a Includes bibliographical references.
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| 505 |
0 |
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|a Part I. Introduction; Chapter 1. Semantic Web; 1.1 Description Logics and Semantic Web; 1.2 The Current Vision of the Semantic Web; Chapter 2. Probability; 2.1 Probabilistic Inference; 2.2 Probabilistic Learning; Chapter 3. Aims of the Thesis; Chapter 4. Structure of the Thesis; Part II. Description Logics; Chapter 5. Foundations of Description Logics; Chapter 6. Description Logics' Characteristics; 6.1 Concept and Role Constructors; 6.2 Family of DLs; 6.3 Knowledge Base; 6.3.1 TBox; 6.3.2 RBox; 6.3.3 ABox; 6.4 Semantics.
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| 505 |
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|a Chapter 7. Significant Examples of Description Logics; Chapter 8. OWL: the Web Ontology Language; Chapter 9. Inference in Description Logics; 9.1 Approaches to Compute Explanations; 9.1.1 Solving min-a-enum: The Standard Definition; 9.1.2 Resolving min-a-enum: Pinpointing Formula; Part III. A Probabilistic Semantics for Description Logics; Chapter 10. Distribution Semantics; 10.1 Formal Definition; 10.2 PLP Languages under the Distribution Semantics; 10.2.1 Logic Programming; 10.2.2 LPAD; 10.2.3 ProbLog; 10.3 Inference in Probabilistic Logic Programming; 10.3.1 ProbLog Inference System.
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| 505 |
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|a 10.3.2 PITA; 10.4 Learning in Probabilistic Logic Programming; Chapter 11. DISPONTE; Chapter 12. Probabilistic Description Logics; Part IV. Inference in Probabilistic DLs; Chapter 13. Inference; 13.1 Splitting Algorithm; 13.2 Binary Decision Diagrams; Chapter 14. BUNDLE; Chapter 15. TRILL; 15.1 TRILL on SWISH; Chapter 16. TRILL P; Chapter 17. Complexity of Inference; Chapter 18. Related Inference Systems; Chapter 19. Experiments; 19.1 BUNDLE: Comparison with PRONTO; 19.2 BUNDLE: Not Entailed Queries; 19.3 BUNDLE: Inference with Limited Number of Explanations; 19.4 BUNDLE: Scalability.
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| 505 |
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|a 19.5 TRILL, TRILL P & BUNDLE: Comparing Different Approaches; 19.6 Discussion; Part V. Learning in Probabilistic DLs; Chapter 20. Learning; Chapter 21. EDGE: Parameter Learning; 21.1 Expectation Maximization Algorithm; 21.2 EDGE; Chapter 22. LEAP: Structure Learning; 22.1 CELOE; 22.2 LEAP; Chapter 23. Distributed Learning; 23.1 Map Reduce Approach; 23.2 The Message Passing Interface Standard; 23.3 EDGE MR; 23.4 LEAP MR; Chapter 24. Related Learning Systems; Chapter 25. Experiments; 25.1 EDGE: Comparison with Association Rules; 25.2 LEAP & EDGE: a Comparison Between Different Learning Problems.
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| 505 |
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|a 25.3 EDGE MR: Parallelization Speedup; 25.4 EDGE MR: Memory Consumption; 25.5 LEAP MR: Parallelization Speedup; 25.6 Discussion; Part VI. Summary and Future Work; Chapter 26. Conclusion; Chapter 27. Future Work.
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| 588 |
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|a Online resource; title from PDF title page (IOS Press, viewed January 26, 2017).
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| 590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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| 650 |
|
0 |
|a Semantic Web.
|
| 650 |
|
0 |
|a Semantic computing.
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| 650 |
|
6 |
|a Web sémantique.
|
| 650 |
|
6 |
|a Informatique sémantique.
|
| 650 |
|
7 |
|a COMPUTERS
|x Intelligence (AI) & Semantics.
|2 bisacsh
|
| 650 |
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7 |
|a Semantic computing
|2 fast
|
| 650 |
|
7 |
|a Semantic Web
|2 fast
|
| 776 |
0 |
8 |
|i Print version:
|a Zese, R.
|t Probabilistic Semantic Web : Reasoning and Learning.
|d Amsterdam : IOS Press, ©2016
|z 9781614997337
|
| 830 |
|
0 |
|a Studies on the Semantic Web ;
|v v. 028.
|
| 856 |
4 |
0 |
|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1455955
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