{"id":453537,"date":"2024-10-20T09:30:47","date_gmt":"2024-10-20T09:30:47","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bs-iso-iec-53922024\/"},"modified":"2024-10-26T17:38:44","modified_gmt":"2024-10-26T17:38:44","slug":"bs-iso-iec-53922024","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bs-iso-iec-53922024\/","title":{"rendered":"BS ISO\/IEC 5392:2024"},"content":{"rendered":"
PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
---|---|---|---|---|---|---|---|
2<\/td>\n | undefined <\/td>\n<\/tr>\n | ||||||
7<\/td>\n | Foreword <\/td>\n<\/tr>\n | ||||||
8<\/td>\n | Introduction <\/td>\n<\/tr>\n | ||||||
9<\/td>\n | 1 Scope 2 Normative references 3 Terms and definitions <\/td>\n<\/tr>\n | ||||||
13<\/td>\n | 4 Abbreviated terms <\/td>\n<\/tr>\n | ||||||
14<\/td>\n | 5 Knowledge engineering system-of-interest 5.1 General 5.2 Important elements of knowledge engineering <\/td>\n<\/tr>\n | ||||||
16<\/td>\n | 5.3 Relationship between KE and AI systems <\/td>\n<\/tr>\n | ||||||
18<\/td>\n | 6 KE stakeholders <\/td>\n<\/tr>\n | ||||||
20<\/td>\n | 7 Concerns of KE stakeholders 7.1 Safety and security <\/td>\n<\/tr>\n | ||||||
21<\/td>\n | 7.2 Reliability 7.3 Availability 7.4 Construction quality 7.5 Responsibility <\/td>\n<\/tr>\n | ||||||
22<\/td>\n | 7.6 Bias reduction 8 Reference architecture of KE 8.1 General 8.2 User view of KE 8.2.1 Data supplier <\/td>\n<\/tr>\n | ||||||
23<\/td>\n | 8.2.2 Fundamental technology supplier 8.2.3 Algorithm supplier <\/td>\n<\/tr>\n | ||||||
24<\/td>\n | 8.2.4 System coordinator 8.2.5 Knowledge service provider <\/td>\n<\/tr>\n | ||||||
25<\/td>\n | 8.2.6 Knowledge applier 8.2.7 Knowledge ecosystem partner 8.3 Functional view of KE 8.3.1 Functional architecture of KE <\/td>\n<\/tr>\n | ||||||
27<\/td>\n | 8.3.2 KE infrastructure layer 8.3.3 KE construction layer 8.3.4 KE platform layer <\/td>\n<\/tr>\n | ||||||
28<\/td>\n | 8.3.5 KE application layer 8.3.6 Multi-layer functions 8.4 KE distribution architecture 8.4.1 General <\/td>\n<\/tr>\n | ||||||
29<\/td>\n | 8.4.2 Distributed architecture with semantic web services <\/td>\n<\/tr>\n | ||||||
30<\/td>\n | 9 Key technologies of KE and computational methods 9.1 Knowledge representation 9.1.1 General <\/td>\n<\/tr>\n | ||||||
31<\/td>\n | 9.1.2 Knowledge representation quality 9.2 Knowledge modelling <\/td>\n<\/tr>\n | ||||||
32<\/td>\n | 9.3 Knowledge acquisition 9.4 Knowledge storage 9.5 Knowledge fusion 9.6 Knowledge computing <\/td>\n<\/tr>\n | ||||||
33<\/td>\n | 9.7 Knowledge visualization 9.8 Knowledge maintenance 9.9 Knowledge exchange 10 Enabling technologies and digital infrastructure of KE 10.1 Enabling technologies 10.1.1 Machine learning 10.1.2 Natural language processing <\/td>\n<\/tr>\n | ||||||
34<\/td>\n | 10.1.3 Speech processing 10.2 Digital infrastructure 10.2.1 Big data 10.2.2 Cloud computing <\/td>\n<\/tr>\n | ||||||
35<\/td>\n | Annex A (informative) Examples of fundamental KE tools <\/td>\n<\/tr>\n | ||||||
36<\/td>\n | Annex B (informative) Specifications related to KE <\/td>\n<\/tr>\n | ||||||
38<\/td>\n | Annex C (informative) Characteristics of typical KE applications <\/td>\n<\/tr>\n | ||||||
40<\/td>\n | Annex D (informative) KE life cycle <\/td>\n<\/tr>\n | ||||||
42<\/td>\n | Annex E (informative) Building a solution architecture integrating ISO\/IEC\/IEEE 42010 <\/td>\n<\/tr>\n | ||||||
49<\/td>\n | Bibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Information technology. Artificial intelligence. Reference architecture of knowledge engineering<\/b><\/p>\n |