Vestige is an innovative app designed to centralize and enrich searches across multiple data sources, allowing users to search, organize, and share information through a tag-based system. The app targets smartphone users, seeking to liberate open data access and provide collaborative content search functionalities by integrating platforms like Twitter and Evernote. Despite facing challenges such as user adoption of tagging habits, Vestige aims to fill the gap in current search tools by connecting fragmented web applications and promoting community engagement.

1. VESTIGE
Your tags, your way.
Manh Luong Bui manh.luong@gmail.com
Simone Campora simone.campora@gmail.com

2. ELEVATOR PITCH
Vestige
It is a new approach to use your tags, from web sources.
Vestige is an entry point App for mixed-content data to be
searched, organized and shared with your virtual communities.
The Idea go ;-
)
o
Searching the information you want is more and more a O ur l
mixed task of data digging across different data sources. Open
data are the emblematic example of this digital division.
Our Goal
To liberate open-data and make them accessible as a tag-
based search engine across multiple access points.

3. THE PROBLEM
Liberate Open-data
Searching for the right thing for you might starts from open-data instead
of Google-like website search.
A New Era in Content Search
We believe that the search habits of the coming future will be
heterogeneous (across open-data web, social networks)
content independent (text, media, ...)
collaborative (users MUST influence the quality of results)
Tagging, Tagging, Tagging
Nowadays we tag many things, we found tags in many other contexts,
however no simple and unified mechanism exists to search for tags, in a
simple way, your way.

4. OUR SOLUTION
Users
using your preferred virtual communities
you can search-by-tag your open data
together with other data sources
(e.g. Twitter, Evernote notes)*
you can organize, classify and share the
resulting contents
* our first prototype will integrate only Twitter and Evernote

5. OUR SOLUTION
Search Example
mobile open-datasets Twitter Evernote
select a theme
list your tags
navigate the open-
data for matching
tags go to your Twitter
account to see
what you know
about those tags
See what you
have noted
about such
tags in your
documents

6. MARKET SIZE
400 M All Users: all smartphone
owners in 2012
10 M Adopters: users that we
expect to try the free version
the first 5 years
1M Buyers: users that we expect
buy the full version of the App in
the first 5 years
200 K Prophets: users that will
actively involve others in the
community

7. BUSINESS MODEL
Revenues
Pay-per-App version
Costs Sponsored topics
Software Development Customized views (e.g.
Cloud Management Value Proposition alerts on specific themes)
Community coordination
A new platform to Subscription to store more
access diversified data tags per time unit.
through tags.
Channels
A revolutionary
Tech blogs approach to tag-search
Social networks Segments
App Markets
Customers Tech. Gurus
Key Partners Social network users
Any smartphone user Advertising companies
All the other social networks

8. PROPRIETARY TECH
Device development tools and licenses
The application will be cross-platform on
Android, Apple iOS, Windows Phone and Desktops (via web
access)
Cloud Infrastructure
It will be implemented as an Hadoop-based cloud in order to
profit from the low maintenance and operational costs
(completely variable costs, no big entry-investment!)
Hosting
Webhosting for accessing the cloud from the web (both
website clients and web-services)

9. COMPETITION
There is no direct competitor. However some classes of
applications are close to our concept:
Social Bookmarking
It allows you to take webpage content
published on a website and share it
with your community
Mixed content Taggers
It allows you to take media content
from the internet, classify it and “pin” it
to the pinterest community
Web Automators
Drops similar actions into different
Social networks seamlessly

10. MARKETING PLAN
Give us your attention!
We need to get noticed! With the help of first prophets, we
will spread the results via active bloggers, and social networks
and online newspapers.
We’ll give you something for free!
The free version of the App will include most of the features
to speed up the building of the first installed base.
Gradually increase the interactivity!
We will add more and more data sources and access from
different virtual communities to let the community grow!

11. TEAM / HIRES
Phase 1 - Concept and Development
Two developers are needed full time for the development of
the main infrastructure and mobile applicative clients
Phase II - Beta prototype release
One developer needed full time to track and solve issues on
client software, for content validation - A second role is
needed to take care of first adopters and marketing.
Phase III - Community Boost
Half time developer on maintenance and improvements and
1.5 time to be spent in content monitoring and app
dissemination to increase the installed base

12. MONEY / MILESTONE
Phase 1 - Concept and Development = 10 Man
Days
Specifications
Mobile development
Cloud development
Phase II - Beta prototype release
Marketing
Bug fixing/data training
Customer care
Phase III - Community Boost
Community animation
Content monitoring
Customer assistance

13. CONCLUSIONS
We have a lot of Strengths!
We have an innovative App to navigate tags. Those tags can be used to keep
memory of important searches, profiting of the open-data world.
Little Weaknesses!
Tagging is not always a popular habit. We have to ensure very good tagging
tips and quality to give back to the users a real added value.
But more Opportunities!
Diversified data sources get more people engaged during several activities of
their life. On the other hand, a clear vision of the diversification helps people
to get involved more effectively.
Knowing the Treats we will face!
Getting revenues from open-data is not trivial!

14. ADDENDUM: COMPLETE ABSTRACT 1/3
• Good ideas come from many different sources. However, the majority of
internauts is still anchored to the most popular search tools: the web
search engines. The search engines are powerful and reliable tools but
many times the same results would have been significantly more effective
to gather via Twitter hashtags search, or simply enriched by those old
Evernote notes that user had created months ago.
• Internet is a fast growing space and it often grows in separated
compartments: different social networks, different database sources and
more generally, different web applications.
• Those web applications often do have APIs to talk to the rest of The
Net, however there are no tools that effectively connect each
compartment following the user needs and preferences.
• Would it be nice to have a centralized place to store and manage
searched keywords (tags) that links together various sources so that we
might spend less time jumping from one platform to another?

15. ADDENDUM: COMPLETE ABSTRACT 2/3
• Open-data are the emblematic example of this discontinuity: many data
sources with standardized access methods but no centralized search tools
to merged results. It will explain how tags are correlated across different
applications but also what the web community is saying about this topic
right now (through Twitter hashtags) and what we have saved about the
topic (in our Evernote account).
• Vestige is intended to fill this gap: a bridge between compartments, a tool
to keep track of different sources. It will also let user know what his
contacts are looking for and what are the most popular tags right now.
Vestige will not only connect different data sources but also different
searchers, persons, to let them collaborate building a new way of searching.
• With the help of our App, the constellation of open-datasets will found a
natural reunification. Users will experience a new, revolutionary approach
to web search where the web pages will no more have a prioritized
position in respect of the open data.

16. ADDENDUM: COMPLETE ABSTRACT 3/3
• Furthermore the users will be able to actively participate to a
collaborative organization of the results via thematic tagging of the
results and sharing facilities with their preferred virtual community.
Personal tagging is another crucial aspect of our proposal: users will
be able to define, organize, add semantics and share their tags with
the ones they love, via a simple touch on the screen.
• Let's take a last example: how to figure out about the past of a
politician? What does she or he have done regarding a specific topic?
User will be able to search not only through a specific open data
source but also in his personal blog, in his Flickr account and in that
news site that he trusts so much. All of that from a central place, all of
that as the user likes.