| LDR | | 04603cmm u2200577Ii 4500 |
| 001 | | 000000310503 |
| 003 | | OCoLC |
| 005 | | 20230525140248 |
| 006 | | m o d |
| 007 | | cr cnu|||unuuu |
| 008 | | 170126s2017 ne ob 000 0 eng d |
| 019 | |
▼a 987023556 |
| 020 | |
▼a 9781614997344
▼q (electronic bk.) |
| 020 | |
▼a 1614997349
▼q (electronic bk.) |
| 020 | |
▼z 9781614997337
▼q (print) |
| 020 | |
▼z 1614997330 |
| 035 | |
▼a (OCoLC)970041839
▼z (OCoLC)987023556 |
| 037 | |
▼a 988906
▼b MIL |
| 040 | |
▼a N$T
▼b eng
▼e rda
▼e pn
▼c N$T
▼d IOSPR
▼d BTCTA
▼d N$T
▼d OCLCF
▼d IDEBK
▼d NJP
▼d CUY
▼d OCLCQ
▼d YDX
▼d 248032 |
| 049 | |
▼a MAIN |
| 050 | 4 |
▼a QA76.5913
▼b .Z474 2016 |
| 072 | 7 |
▼a COM
▼x 004000
▼2 bisacsh |
| 082 | 04 |
▼a 025.042/7
▼2 23 |
| 100 | 1 |
▼a Zese, Riccardo,
▼e author. |
| 245 | 10 |
▼a Probabilistic semantic web :
▼b reasoning and learning /
▼c Riccardo Zese. |
| 264 | 1 |
▼a Amsterdam, Netherlands :
▼b IOS Press,
▼c [2017]. |
| 300 | |
▼a 1 online resource (xvi, 173 pages). |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 490 | 1 |
▼a Studies on the semantic web,
▼x 2215-0870 ;
▼v vol. 028 |
| 504 | |
▼a Includes bibliographical references. |
| 505 | 0 |
▼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. |
| 505 | 8 |
▼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. |
| 505 | 8 |
▼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. |
| 505 | 8 |
▼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. |
| 505 | 8 |
▼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. |
| 588 | 0 |
▼a Online resource; title from PDF title page (IOS Press, viewed January 26, 2017). |
| 590 | |
▼a eBooks on EBSCOhost
▼b All EBSCO eBooks |
| 650 | 0 |
▼a Semantic Web. |
| 650 | 0 |
▼a Semantic computing. |
| 650 | 7 |
▼a COMPUTERS / Intelligence (AI) & Semantics
▼2 bisacsh |
| 650 | 7 |
▼a Semantic computing.
▼2 fast
▼0 (OCoLC)fst01748947 |
| 650 | 7 |
▼a Semantic Web.
▼2 fast
▼0 (OCoLC)fst01112076 |
| 655 | 4 |
▼a Electronic books. |
| 830 | 0 |
▼a Studies on the Semantic Web ;
▼v v. 028. |
| 856 | 40 |
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1455955 |
| 938 | |
▼a YBP Library Services
▼b YANK
▼n 13399588 |
| 938 | |
▼a ProQuest MyiLibrary Digital eBook Collection
▼b IDEB
▼n cis37449733 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 1455955 |
| 938 | |
▼a Baker and Taylor
▼b BTCP
▼n BK0020290690 |
| 990 | |
▼a 관리자 |