SG10201811578RA - Predictive query processing for complex system lifecycle management - Google Patents
Predictive query processing for complex system lifecycle managementInfo
- Publication number
- SG10201811578RA SG10201811578RA SG10201811578RA SG10201811578RA SG 10201811578R A SG10201811578R A SG 10201811578RA SG 10201811578R A SG10201811578R A SG 10201811578RA SG 10201811578R A SG10201811578R A SG 10201811578RA
- Authority
- SG
- Singapore
- Prior art keywords
- terms
- electronic document
- determined
- complex system
- lifecycle management
- Prior art date
Links
- 238000001914 filtration Methods 0.000 abstract 1
- 238000010801 machine learning Methods 0.000 abstract 1
- 238000000034 method Methods 0.000 abstract 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
- G06F16/313—Selection or weighting of terms for indexing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/3332—Query translation
- G06F16/3334—Selection or weighting of terms from queries, including natural language queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/335—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/38—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Artificial Intelligence (AREA)
- Business, Economics & Management (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Medical Informatics (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Library & Information Science (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Operations Research (AREA)
- Machine Translation (AREA)
Abstract
PREDICTIVE QUERY PROCESSING FOR COMPLEX SYSTEM LIFECYCLE MANAGEMENT Techniques for identifying relevant, natural language documents within a data repository. 5 An electronic document specifying natural language text describing an issue with a complex system is received. One or more portions are removed from the electronic document, where the portions are determined to satisfy one or more predefined filtering rules. A first set of terms are determined using a data dictionary structure, and a second set of terms are determined, where at least one term in the second set of terms satisfies at least one predefined pattern matching rule. 10 A third set of terms are determined by processing the electronic document as an input to a machine learning model trained to recognize relevant terms within the electronic document. A synthesized electronic document is generated from the first, second and third sets of terms, and the synthesized electronic document is used to identify a set of relevant documents within the data repository. 15 Fig. 2 20
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15/926,262 US10997225B2 (en) | 2018-03-20 | 2018-03-20 | Predictive query processing for complex system lifecycle management |
Publications (1)
Publication Number | Publication Date |
---|---|
SG10201811578RA true SG10201811578RA (en) | 2019-10-30 |
Family
ID=65903907
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG10201811578R SG10201811578RA (en) | 2018-03-20 | 2018-12-24 | Predictive query processing for complex system lifecycle management |
Country Status (4)
Country | Link |
---|---|
US (2) | US10997225B2 (en) |
EP (1) | EP3543867A1 (en) |
CN (1) | CN110309502A (en) |
SG (1) | SG10201811578RA (en) |
Families Citing this family (8)
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US10997225B2 (en) | 2018-03-20 | 2021-05-04 | The Boeing Company | Predictive query processing for complex system lifecycle management |
US10964132B2 (en) * | 2018-04-30 | 2021-03-30 | The Boeing Company | Detecting fault states of an aircraft |
US11195343B2 (en) | 2019-05-30 | 2021-12-07 | The Boeing Company | Maintenance systems enhancement |
US11966686B2 (en) | 2019-06-17 | 2024-04-23 | The Boeing Company | Synthetic intelligent extraction of relevant solutions for lifecycle management of complex systems |
US11645463B2 (en) * | 2020-06-07 | 2023-05-09 | Nanya Technology Corporation | Natural language processing system, natural language processing method and non-transitory computer readable medium |
CN112269870A (en) * | 2020-11-03 | 2021-01-26 | 北京字跳网络技术有限公司 | Document sorting method and device, electronic equipment and computer readable storage medium |
CN113360346B (en) * | 2021-06-22 | 2023-07-11 | 北京百度网讯科技有限公司 | Method and device for training model |
CN117437321B (en) * | 2023-12-20 | 2024-03-12 | 清华大学 | Automatic evaluation method and device for arterial transit artifact through magnetic resonance spin labeling imaging |
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-
2018
- 2018-03-20 US US15/926,262 patent/US10997225B2/en active Active
- 2018-12-24 SG SG10201811578R patent/SG10201811578RA/en unknown
-
2019
- 2019-02-01 CN CN201910103225.2A patent/CN110309502A/en active Pending
- 2019-03-19 EP EP19163645.5A patent/EP3543867A1/en not_active Withdrawn
-
2021
- 2021-05-03 US US17/306,739 patent/US11886471B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
US11886471B2 (en) | 2024-01-30 |
US20190294726A1 (en) | 2019-09-26 |
CN110309502A (en) | 2019-10-08 |
US10997225B2 (en) | 2021-05-04 |
US20210256043A1 (en) | 2021-08-19 |
EP3543867A1 (en) | 2019-09-25 |
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