This document proposes an organizational schema for wines produced by wineries along the Kansas City Wine Trail. The schema would standardize descriptors for wine attributes like color, style, sweetness, and flavor to make it easier for consumers to find wines they enjoy. Key elements from the Dublin Core metadata schema are identified for inclusion, such as title, creator, subject, and coverage. The schema is intended to benefit both consumers pairing local wines with food and wineries promoting tours and tastings.
Data analysis is the process of transforming data into useful information to support decision making. It is the foundation for data mining, business intelligence, and predictive analytics. By doing this project, we know how to utilize the tools to solve real-world problems using statistics and have a better understanding of data analysis techniques. In addition, it's important to learn various algorithms for our needs and to improve existing techniques for data analysis. Moreover, we learn the skill to present our project and results to a diverse audience.
Oregon Winery Visitor Profile Research Report - 2019Oregon Wine Board
Research on Oregon wine visitors conducted by University of Oregon and sponsored by the Oregon Wine Board and Travel Oregon. Includes deep dive into Rogue Valley, Umpqua Valley and Columbia Gorge visitors and 19 personas based on visitor segments.
Sonoma County Library is unusual among public libraries in managing extensive special collections of photographs, rare books, wine-related materials, and local historic items. These materials are housed in several locations and represent only some of the library’s many hidden collections. We began digitizing and making photographs available online from the late 1990s to the mid-2000s with minimal metadata; today we leverage outsourcing and partnerships to bring over 40,000 digitized items with extensive metadata to the Web. Encouraging statistics show worldwide viewing and great local interest, yet many challenges remain: prioritizing collections, choosing platforms, developing standards-based workflows, preserving the digital and physical objects, developing and maintaining partnerships, and many more.
In addition to describing the ways we are addressing these challenges, we will also illustrate a particular case—an ongoing project of the Sonoma County Wine Library. Beginning as a clippings file decades ago, the current manifestation of the International Wine Research Database (IWRDB) resides at iwrdb.org. A recent grant awarded to the Wine Library offered the chance to upgrade the raw data and the search interface, and the project remains an exciting opportunity for potentially bringing together staff and researchers from wine libraries in the US and abroad.
2019 Oregon Wine Symposium | Know Your Visitors: Find and Attract Quality Win...Oregon Wine Board
Statewide research conducted in 2018 by the University of Oregon and Destination Analysts aimed to answer these questions: Who is Oregon’s wine tourist? What do they want from their time in our wine regions? How can wineries best suit their needs? This session shares findings from that research to prompt a spirited discussion about strategies for attracting quality visitation to your tasting room, from promoting your business to maximizing the potential of partnerships with like-minded organizations and ultimately closing the sale.
Before Creature Comforts Brewery was one of the most prominent hangouts in all of Athens, my team created the winning campaign as voted by the CEO. Many of the deliverables are in use today as the establishment continues to rack up awards and sell out crowds.
Smart Applications with Machine Learning by H2O - Alex Tellez of RHalf speaks...Sri Ambati
Simple Machine Learning yields Smarter Applications - Like Finding a good Ramen restaurant, Whiskey and betting on Bordeaux Futures! Alex Tellez at #H2OWorld 2014
Designing Connected Content With Craft CMSCarrie Hane
Content is the whole point of the digital products you create. It needs to be omni-channel, ready for AI and machine learning, and easily maintained. But many teams struggle with how to get content up front, maintain it once it’s published, and make sure it’s ready for the future. As a Craft developer, you already have the tools to support a connected content framework. Structured content creates relationships, connects to other systems, and allows for personalised customer experiences.
We’ll answer your most pressing questions about incorporating content strategy into your work, including:
- How can you contribute to the planning phase of web projects?
- How to get real content to work with during implementation?
- What does a CMS developer need to ask for?
- How do you educate clients on the benefits of doing and the consequences of not putting content first?
- How to build your team’s confidence and trust the design and content you get?
- What makes your CMS and content future-proof and maintainable?
Data analysis is the process of transforming data into useful information to support decision making. It is the foundation for data mining, business intelligence, and predictive analytics. By doing this project, we know how to utilize the tools to solve real-world problems using statistics and have a better understanding of data analysis techniques. In addition, it's important to learn various algorithms for our needs and to improve existing techniques for data analysis. Moreover, we learn the skill to present our project and results to a diverse audience.
Oregon Winery Visitor Profile Research Report - 2019Oregon Wine Board
Research on Oregon wine visitors conducted by University of Oregon and sponsored by the Oregon Wine Board and Travel Oregon. Includes deep dive into Rogue Valley, Umpqua Valley and Columbia Gorge visitors and 19 personas based on visitor segments.
Sonoma County Library is unusual among public libraries in managing extensive special collections of photographs, rare books, wine-related materials, and local historic items. These materials are housed in several locations and represent only some of the library’s many hidden collections. We began digitizing and making photographs available online from the late 1990s to the mid-2000s with minimal metadata; today we leverage outsourcing and partnerships to bring over 40,000 digitized items with extensive metadata to the Web. Encouraging statistics show worldwide viewing and great local interest, yet many challenges remain: prioritizing collections, choosing platforms, developing standards-based workflows, preserving the digital and physical objects, developing and maintaining partnerships, and many more.
In addition to describing the ways we are addressing these challenges, we will also illustrate a particular case—an ongoing project of the Sonoma County Wine Library. Beginning as a clippings file decades ago, the current manifestation of the International Wine Research Database (IWRDB) resides at iwrdb.org. A recent grant awarded to the Wine Library offered the chance to upgrade the raw data and the search interface, and the project remains an exciting opportunity for potentially bringing together staff and researchers from wine libraries in the US and abroad.
2019 Oregon Wine Symposium | Know Your Visitors: Find and Attract Quality Win...Oregon Wine Board
Statewide research conducted in 2018 by the University of Oregon and Destination Analysts aimed to answer these questions: Who is Oregon’s wine tourist? What do they want from their time in our wine regions? How can wineries best suit their needs? This session shares findings from that research to prompt a spirited discussion about strategies for attracting quality visitation to your tasting room, from promoting your business to maximizing the potential of partnerships with like-minded organizations and ultimately closing the sale.
Before Creature Comforts Brewery was one of the most prominent hangouts in all of Athens, my team created the winning campaign as voted by the CEO. Many of the deliverables are in use today as the establishment continues to rack up awards and sell out crowds.
Smart Applications with Machine Learning by H2O - Alex Tellez of RHalf speaks...Sri Ambati
Simple Machine Learning yields Smarter Applications - Like Finding a good Ramen restaurant, Whiskey and betting on Bordeaux Futures! Alex Tellez at #H2OWorld 2014
Designing Connected Content With Craft CMSCarrie Hane
Content is the whole point of the digital products you create. It needs to be omni-channel, ready for AI and machine learning, and easily maintained. But many teams struggle with how to get content up front, maintain it once it’s published, and make sure it’s ready for the future. As a Craft developer, you already have the tools to support a connected content framework. Structured content creates relationships, connects to other systems, and allows for personalised customer experiences.
We’ll answer your most pressing questions about incorporating content strategy into your work, including:
- How can you contribute to the planning phase of web projects?
- How to get real content to work with during implementation?
- What does a CMS developer need to ask for?
- How do you educate clients on the benefits of doing and the consequences of not putting content first?
- How to build your team’s confidence and trust the design and content you get?
- What makes your CMS and content future-proof and maintainable?
1. A System of Organization
KANSAS CITY
Jim Powers, Elena Bonjour,
Kelly Hangauer,
Lynn Winebrenner
2. Missouri Wine Trails - There are ten in the state
This schema could be
used for any of the
Missouri Wine
Trails, or even to
organize wines in
any region in North
or South America.
3. What is the Kansas City Wine Trail?
The Kansas City Wine Trail is a partnership between nine
wineries spanning from Kansas City to Waverly, Missouri (about
70 miles east of Kansas City.)
Amigoni Urban Winery
Arcadian Moon Vineyards & Winery
Albonee Country Inn & Winery
Stonehaus Farms
Odessa Country Winery
LaBella Vineyards & Winery
Fahrmeier Family Vineyards
Terre Beau Winery
Baltimore Bend Winery
4. Why do we need an
organizational schema for wine?
?
5. What will an organizational schema for the
Kansas City Wine Trail accomplish?
1. Make it easier for people who want to
drink local wines to find one that they like
2. Restaurants could use it to pair local
wines with the dishes they serve
3. The wineries in the Kansas City Wine Trail
could use it to promote their wines and
winery tours
6. Attributesofwineusedasdescriptors
Color (red, white, blush)
Style (Cab, Merlot, Chardonnay, Shiraz)
Sweetness (dry, off-dry, dessert)
Acidity (tart, crisp, soft)
Tannin (astringent, firm, soft)
Body (light, medium, full)
Flavor attributes (fruity, earthy, spicy, herbal, citrus, and many more...)
Other fruit used, if any
8. Dublin Core
Managed by the Dublin Core Metadata Initiative (DCMI), Dublin Core is international in scope:
The DCMI, Ltd is headquartered in Singapore. The DCMI website (dublincore.org) is hosted by the
National Library of Korea. The DC Metadata Registry is hosted by the Research Center for
Knowledge Communities at the University Of Tsukuba, Japan
Dublin Core (DC) is a
metadata schema for
description of digital and
physical resources:
books, maps, artwork,
and wine bottles.
Originally created for
describing electronic
resources, it now
encompasses the
description of electronic,
print, and conceptual
resources
9. Why Dublin Core?
The purpose of Dublin
Core is to make
information on the Web
searchable.
It uses simple
vocabularies to find,
identify, and use the
resources.
10. ELEMENTS
Simple Dublin
Core consists
of 15 elements
for describing
resources:
Creator
Contributor
Publisher
Title
Date
Language
Format
Subject
Description
Identifier
Relation
Source
Type
Coverage
Rights
11. About The Elements...
All elements are optional and
repeatable. There is no set order of
the elements.
The elements can be organized by:
Content: Type, Title, Subject, Source,
Description, Coverage, and Relation
Intellectual Property: Creator,
Contributor, Publisher, and Rights
Application: Language, Format, Date, and
Identifier
12. The Dublin Core
standard works well with
other schemas
Qualified Dublin core
added 3 more elements
● Audience
● Provenance
● RightsHolder
13. Extensibility
Dublin Core is designed to be small
but extensible.
It can be used with a wide range of
vocabularies (scheme=LCSH).
New elements can be added to suit a
particular resource.
Element
Price $$
Coverage (type=spatial)
(scheme=TGN)
Waverly (Lafayette County, Missouri,
United States)
14. Flexibility
Dublin core is highly flexible.
Each element in Dublin Core can be modified by a
qualifier
Qualifiers either refine (type) or encode elements
(scheme)
Relation (type=PartOf) (Identifier=URL) http://www.kcwineries.com/winetrail.html
Relation (type=hasPart) Norton grape
Coverage (type=spatial) (scheme=TGN) Waverly, Missouri
15. Interoperability
Dublin Core is
a fundamental
metadata
schema, widely
used with
libraries,
archives, and
the Internet.
There are four
levels of
interoperability
to Dublin Core.
Our schema
coordinates with
Level 1 and Level 2.
Level 1: Shared language and
definitions - standard vocabulary
Level 2: Properties and classes of
Dublin Core Metadata Terms are
used to coordinate with Linked Data
on the web. Linked Data helps
establish relationships between
content on the Web and is used by
major search engines.
16. Elements of Our Schema
● Color
● Title/Wine Name
● Source/Winery
● Creator/Winery OR Name of Wine Makers
● Subject (scheme=LCSH)
● Description
● Date (type=created)/Date bottled
● Format (type=medium
● Sweetness
● Price
● Relation (type=isPartOf) (identifier = URL)
● Relation (type=hasPart)/Specific grape varieties
● Coverage (type=spatial) (scheme=TGN)
● Acidity
● Body
● Flavor Attributes
● Type (must use DCMI Type Vocabulary)
17. Sample of the Schema
Color Red White Red White
Title/Wine Name 2012 Norton Reserve 2014 Chardonel 2011 Rose Red Sauvignon Blanc
Source/Winery Baltimore Bend Vineyard Baltimore Bend Vineyard Stonehaus Farms Winery Amigoni Urban Winery
Creator/Winery OR Name
of Wine Makers
Baltimore Bend Vineyard Baltimore Bend Vineyard Stonehaus Farms Winery Amigoni Urban Winery
Subject (scheme=LCSH) Wine, Wine and wine
making--United States
Wine, Wine and wine
making--United States
Wine, Wine and wine
making--United States
Wine, Wine and wine
making--United States
Description Aged in French oak, this full
bodied red is made from
Norton grapes that hung on
the vine longer producing
lower acids and higher
sugars. Norton is the same
grape as Cynthiana
Barrel fermented, sur lies
style wine. Dry white. Aged
on French oak for 8 months
Cold fermented and pairs
well with fruit, sandwiches,
cheeses and light pastas
Crisp and dry with hints of
citrus nose.
Starts with hint of grapefruit
when tasted and finishes
with pineapple taste. Light
wine, great paired with
food. Aged in oak barrell
Date (type=created)/Date
bottled
2012 2014 2011 2015
18. Searching With The Schema...
Users can search for a specific element, among them:
● Color
● Style
● Sweetness
The schema will show wines that have that element.
The Kansas City Wine Trail makes nearly
100 varieties, too many to select from the
list manually.
19. 100 bottles of wine on the wall...
>100
Search one or
more elements:
color, body,
sweetness, etc.
The ones you might like
20. Questions and concerns
More elements, such as
flavor attributes, can be
added, but too many is
inadvisable. If you are too
flexible the schema loses its
interoperability.
21. REFERENCES
Baca, M., Harpring, P., Ward, J., & Beechcroft, A. (Eds.). (2014). Metadata standards crosswalk. [PDF document].
Retrieved from http://www.getty.edu/research/publications/electronic_publications/intrometadata/crosswalks.html
Boehmer, A. & Comet, R. (2009). Wine basics: A complete illustrated guide to understanding, selecting and enjoying
wine. Guilford, CT: Knack.
DCMI Metadata Basics. (n.d.) Retrieved on July 02, 2016 from http://dublincore.org/metadata-basics/
Dublin Core. (2005) Retrieved on July 24, 2016 from https://www.w3.org/wiki/DublinCore
Garcia- Penalvo, F. J., Merlo Vega, J. A., Ferreras- Fernandez, T., Casaus- Pena, A., Albas Aso, L., & Atienza
Diaz, M.L. (2010). Qualified Dublin Core metadata: Best practices for GREDOS. Journal of library
metadata, 10(1), 13-36 doi: 10.1080/19386380903546976
22. REFERENCES continued
Hillmann, D. I. (2000). Using Dublin Core. Retrieved from http://dublincore.org/documents/2000/07/16/usageguide/
Hillmann, D.I. (2005). Using Dublin Core: The elements. Retrieved from
http://dublincore.org/documents/usageguide/elements.shtml
KC Wine Trail. Retrieved from http://kcwineries.com/
Lubas, R., Jackson, A., Schneider, I. (2013). The metadata manual: A practical workbook.
Oxford, UK: Chandos Publishing
McCarthy, E. & Ewing-Mulligan, M. (2003). Wine for dummies, 3rd edition. Hoboken, NJ: Wiley Publishing.
National Information Standards Organization. (2008). Building a metadata schema - where to start. Retrieved from
http://www.niso.org/apps/group_public/document.php?document_id=5271&wg_abbrev=tc46sc11interest