SLIDE 1
Questions
Shared Drives
Next Generation Data Discovery Fusing Structured and Unstructured - - PowerPoint PPT Presentation
Next Generation Data Discovery Fusing Structured and Unstructured - - PowerPoint PPT Presentation
Next Generation Data Discovery Fusing Structured and Unstructured Content from Multiple Repositories Chris Meredith UDOT Dan Quinn PTFS Questions Shared Drives Vision: Enterprise-wide Data Discovery Information Transparency
SLIDE 2
SLIDE 3
Vision: Enterprise-wide Data Discovery
- Information Transparency
- UDOT information should be discoverable to the entire department and
its partners
- Sometimes, information is desired but the question is unknown
SLIDE 4
What Have We Done?
- You don’t need to know where the information resides
- You don’t need to know what information exists
R2 Shared Drive
SLIDE 5
What Stays the Same?
The Index... So you can more easily use the information already provided by the department without duplication!
- References data from the source system. Nothing is copied!
- Utilizes source system credentials for document access.
○ If you’re required to log into the source system, the index does not provide a way around that.
- Allows data owners to remain data owners and continue to collect and
maintain their information.
SLIDE 6
Basic Knowvation operation
SLIDE 7
Basic Search screen has several options
SLIDE 8
Knowvation supports a browse hierarchy
SLIDE 9
Browse enables navigating a folder structure
SLIDE 10
Knowvation can support optimal UDOT hierarchy
SLIDE 11
There are many search options from this interface
SLIDE 12
The full text search box can start easy searches
SLIDE 13
Items presented as dots on base map
SLIDE 14
Various layers can be easily turned on/off
SLIDE 15
Now mileposts are off
SLIDE 16
Base map options can be switched with a click
SLIDE 17
Select Open Street Map
SLIDE 18
Open Street Map used to start search, display data
SLIDE 19
A geospatial search is a common starting point
SLIDE 20
The search can now be limited to Route 48
SLIDE 21
And further limited with a PIN
SLIDE 22
And further limited with a Document Type
SLIDE 23
Data can be presented in different views: Grid View
SLIDE 24
Data can be presented in different views: List View
SLIDE 25
Data can be presented in different views: Thumbnail View
SLIDE 26
An Esri widget enables Knowvation searches in ArcGIS
SLIDE 27
An Esri widget enables Knowvation searches in ArcGIS
SLIDE 28
A drop down makes selecting target route easy
SLIDE 29
A Search simply on route returns 4,282,556 files
SLIDE 30
Adding full text search on “ramp” narrows to 146,763 filesPIN narrows it down to five files
SLIDE 31
Adding PIN 10711 narrows list to five files
SLIDE 32
Selecting “all” brings back all records = 685 records
SLIDE 33
Pattern Search is a fuzzy text search
SLIDE 34
Correct/incorrect spellings are highlighted.
SLIDE 35
SLIDE 36
SLIDE 37
SLIDE 38
What Else?
- Improving data attributes/metadata improves searchability
- Aligning data standards across the Department
- The index reflects how well data governance functions within the department.
With data governance improvements, the index improves.
SLIDE 39
Moving Forward
- Findability Study using machine learning to help make documents more
findable
- Power user testing – Region Designers
- Training
- Incorporate additional data sources
SLIDE 40
Chris Meredith
Utah Department of Transportation Central Right of Way GIS Administrator cmeredith@utah.gov
Dan Quinn
PTFS VP, Sales & Marketing dquinn@ptfs.gov
SLIDE 41
SLIDE 42
How Can You Do That?
You can search by… Location on a map
SLIDE 43
How Can You Do That?
You can search by… Address Route and Milepost Source system Project information (PIN)
- PIN
- Route
- Name
SLIDE 44
How Can You Do That?
You can search by… Metadata categories
The picture can't be displayed. SLIDE 45