Briefing Agenda. NASDAC Mission and Vision EAPAS-AW Objectives EA Data Mart Features AW Data Cube Features Accessing NASDAC

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2 Briefing Agenda NASDAC Mission and Vision EAPAS-AW Objectives EA Data Mart Features AW Data Cube Features Accessing NASDAC November 2002 EAPAS AW Briefing 2

HOURS Spotfire Display Data Visualization Natural Language Processing Data Warehouse - OLAP DBMS Domain Knowledge

3 NASDAC Mission NASDAC enhances system safety decision-making by providing high quality safety information, analytical capabilities, services, and technology to the aerospace community. HOURS Spotfire Display Data Visualization Natural Language Processing Data Warehouse - OLAP DBMS Domain Knowledge (Customer) Statistics Data Mining 100,000 80,000 60,000 40,000 20,000 Reporting Data Preparation 0 20,000 40,000 60,000 80, ,000 CYCLES November 2002 EAPAS AW Briefing 3

4 EAPAS-AW Objectives Section W.4; EAPAS Plan: Strategy - develop automated SDR reporting system, allowing trend analysis. 1. SDR system data dictionary [update] to FAA metadata repository 2. Produce NASDAC Data Mart Prototype Design Enhanced Airworthiness Data Mart now available at NASDAC Aging Wiring Data Cube prototype now available at NASDAC 3. Conduct Pre-NPRM Trend Analysis Demonstration w/prototype 4. Perform Post-NPRM Trend Analysis Demonstration w/ Mart & Tools November 2002 EAPAS AW Briefing 4

5 Aging Wiring Trend Analysis Development Schedule EAPAS-AW Requirements Development W.4.1 W.4.3 Sept. 02 Jan. 03 May 03 Collect Requirements, Demo Prototype Beta Site Prototype & Test Implement Requirements and Operate OLAP NASDAC Extranet Portal Operations W.4.2 EADM* Operations (June) Install, Test, Announce to Users W.4.4 * EADM = Enhanced Airworthiness Data Mart W.4.1 = EAPAS Plan Paragraph November 2002 EAPAS AW Briefing 5

Requirements Team Activity ACO Representative Individual Role & Objectives Provide certification engineering expertise (SME) to the ASY-led team Deliver Process Knowledge [Comments - Oral and

6 Requirements Team Activity ACO Representative Individual Role & Objectives Provide certification engineering expertise (SME) to the ASY-led team Deliver Process Knowledge [Comments - Oral and Written] Deliver Airworthiness Certification Decision Knowledge [same] Team Objectives Define computer-based data Trend Analysis Requirements Examine Text Mining Thesaurus Technology Examine Text Mining Categorization Technique Examine Text Mining Data Extraction Technique Prototype software review and comment Beta software exercise, review and comment Affirm and validate Trend Analysis Capability Enable a predictive analytical mode November 2002 EAPAS AW Briefing 6

7 EADM Composition SDR Data Merged Datasets AirClaims Data* Exposure: Aircraft Mfr Date Aircraft Flight Hours Aircraft Cycles Aircraft N, Make, Model, Series *Large Transport Aircraft November 2002 EAPAS AW Briefing 7

8 Overview of Technical Approach AFS-600 SDR Data AirClaims Data NASDAC Staging Area EAPAS Key-based Integration 30-day Update Cycle nn97 Filter OLAP AW Dataset Mm/yy AW Thesaurus Ver N.n Analysis & Review NASDAC Portal Text Assessment Process AW Dataset (Preprocessing 30-day Cycle) (Workstation) Designed Reports ACO Users NASDAC User Group (Thesaurus Mgmt) November 2002 EAPAS AW Briefing 8

9 NASDAC EADM Metadata about the data set There are two strategies to approaching the database: Secondly, we offer the Cube View One is the query approach. November 2002 EAPAS AW Briefing 9

Simple Query Illustration This field is for text searches of the SDR narrative. This active field is used to select a manufacturer. This active field is used to specify the model of interest.

10 Simple Query Illustration This field is for text searches of the SDR narrative. This active field is used to select a manufacturer. This active field is used to specify the model of interest. Query Purpose: Which parts/components are failing, Where (aircraft make, model, location) When (aircraft age, hours, cycles), and How (poor design (chafing)) (poor technique (incorrect attachment, abrasion))? November 2002 EAPAS AW Briefing 10

11 Results of Query The number of records matching the query. This size of the database in records. This is a copy of the SQL Code in the query. This link will take you to the specific record. November 2002 EAPAS AW Briefing 11

12 Prototype Aging Wiring Thesaurus Specifications AW Thesaurus Ver 0.1 Specifications 900 Terms 425 Synonymous Relationships Maximum of 3 hierarchical levels 275 Top Terms 270 Narrower/Broader Terms Relationships 315 Related Term Relationships SME Domain: Electrical Wiring Systems November 2002 EAPAS AW Briefing 12

13 Prototype On-line User Interface Thesaurus Menu Options This selection invokes synonyms to broken, e.g., broke, break November 2002 EAPAS AW Briefing 13

14 Prototype On-line Results This Result 5 Records Other result w/o Thesaurus (exact match) 3 Records Also expect to investigate Oracle s fuzzy logic for typo s and stem [term] matching. November 2002 EAPAS AW Briefing 14

15 Data Cube View Worksheet Aircraft by Age Worksheet Views may be customized to user specifications Aircraft Age in Years (Row) Manufacturer (Column) Manufacturer SDR Total November 2002 EAPAS AW Briefing 15

16 Aging Wiring Sheet View This is the selected sheet The user may select an operator s fleet November 2002 EAPAS AW Briefing 16

Cube Drill-down Results This blank line shows system wiring records total This line shows total records with wire specified The few records in the

17 Cube Drill-down Results This blank line shows system wiring records total This line shows total records with wire specified The few records in the database show early voluntary participation The - indicates drilldown complete. The + indicates records below for drill-down. November 2002 EAPAS AW Briefing 17

18 Trend Analysis Illustration The Pareto principle describes a phenomenon in which 80 percent of variation observed in everyday processes can be explained by a mere 20 percent of the causes of that variation. Pareto Chart November 2002 EAPAS AW Briefing 18

Conclusion AW Requirements Team to complete an examination of: - Thesaurus Text Mining Technology - Unstructured Data Categorization Text Mining - Data Visualization Data Mining-type Examination for

19 Conclusion AW Requirements Team to complete an examination of: - Thesaurus Text Mining Technology - Unstructured Data Categorization Text Mining - Data Visualization Data Mining-type Examination for Trend Analysis NASDAC [ASY] Role consistent with CPSRT Direction: - Safety Information Awareness Data Management Timely Field Information NASDAC Mission progression: - Provide state-of-the-art technologies for safety issue analysis Welcome to Visit our Demonstration Table and NASDAC [HQ Room 1006] November 2002 EAPAS AW Briefing 19

20 Questions? Questions? November 2002 EAPAS AW Briefing 20

TIM 50 - Business Information Systems

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