iphones: markets, marketing, development and research
DESCRIPTION
Mobile App business - Consumers and Companies- stakeholders, marketsBuilding Mobile apps- ArchitecturesResearch with Mobile apps-cultural heritage-Personalized TV watchingTRANSCRIPT
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Killer application
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“any system that is so necessary or desirable that it proves the core value of some larger technology, such as computer hardware like a gaming console, operating system or other software. A killer app can substantially increase sales of the platform that it runs on.”
Example: Google Maps on iPhone 3G with GPS News and Weather SMS Subscription services Email, Skype, Live! Messenger (SMS
forwarding). Electronic Banking and Money Management Movie Showtimes and Ticketing -> Semantic Web for the Internet
VisiCalc, the earliest generally agreed example of a killer application. (‘90s)
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Agenda Mobile App business
Consumers and Companies -> stakeholders, markets
Building Mobile apps-> Architectures
Research with Mobile apps cultural heritage Personalized TV watching
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Mobile App business
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MBA in a nutshell: Business Process
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Acquireresource
s
Assemble
product
sellproduct
distribute
productproduct
resources
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Business Processes
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Strategy: why Operation: how HRM: people Finance: value Information: control
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Stakeholders (Buy or Make)
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User Buyer Formal Buyer Technical Buyer Coach [Academic|public Buyer]
Miller, B. H. (1988). Strategic Selling
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User Buyer
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Practical use How will it work for me? Improve work/life
Consumer
Company
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Formal Buyer
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Manager, CEO with Budget Return of Investment Total costs of Ownership Impact on organization
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Technical Buyer
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Measurable aspects Architecture Requirements
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Coach
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Not a formal position, but can give insights, has influences
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Academic|public buyer
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Role in society Health
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User Buyer
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Practical use How will it work for me? Improve work/life
Consumer
Company
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Hyperego: digital (sub)identities
17 FredCavazza.net.
Consumer
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Consumer
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(Cons Mobile app stores (1)
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Consumer
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(Cons Mobile app stores (2)
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Consumer
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Why invest in Mobile Software/Applications?
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Business values: Value (cost reduction, billing) Time to market / speed of implementation Ahead of competitors Fit within (human and technical) organization Innovation drive
Solve existing problems: Making processes more efficient with a new approach (more) Reliable / Accepted Proven / Cheaper
Solve problems that could not be solved before: Lack of trust/ Unfamiliar Politics Technical / organizational limitations
Company
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Comp Applications by Markets
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Company
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Application area
23
Application Development & Integration
Business Intelligence Business Process
Management Consumer Technologies Customer Relationship
Management Data Management &
Integration Emerging Trends &
Technologies Enterprise Architecture ERP & Supply Chain
Management High-Performance Workplace IT Asset Management IT Operations IT Management
IT Services Mobile & Wireless Networking &
Communications Equipment Networking &
Communications Services Open Source Outsourcing PCs, Laptops & Handheld
Devices Regulatory Compliance Security & Privacy Servers & Storage Web Services
Company
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Industries
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Company
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Applications themes
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Arbeid en sociale zekerheid
Bedrijven Bevolking Bouwen en wonen Financiële en zakelijke
diensten Gezondheid en welzijn Handel en horeca Industrie en energie Inkomen en
bestedingen Internationale handel
Landbouw Macro-economie Natuur en milieu Onderwijs Overheid en politiek Prijzen Veiligheid en recht Verkeer en vervoer Vrije tijd en cultuur
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Domains Almost everyone is a mobile service user of some sort (90%
cellphone penetration)
The types of user vary greatly in terms of Equipment Skills Purpose Location
Users access servers in many different ways and times and places
Content is lifestyle specific Email at work and access to a corporate information system Email at home and Skype for personal comms Travel services while driving to work ….
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Grandmas Mobile
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“Content” Personal: Wallet, Diary Time dependent: News and Sports Transaction Oriented: utility bill
payment, buying books Location Specific: street directions,
restaurant guide Corporate: business applications Entertainment: Games, Social
Software, Role Playing
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Examples (1) News: Summaries while traveling Weather: High demand applications
– link with GPS to avoid problems while sailing
• Corporate Applications: Often these are PC applications while away from the office
• Sales Force Automation: Original driver for mobile applications: Sales orders booking, inventories etc
• m-broker: constant access to stock market information and purchase/sale instructions
• Telebanking: Internet banking well established SMS banking popular in Europe China and India
• m-shopping: Purchase of railway tickets, car parking etc via mobile phone
• Micropayment applications: The phone system is good at handling small transactions
• Interactive Games
Interactive TV: TV on mobile emerging application. Still controversy about usage and content
Digital Interactive TV: Red button on Sky TV boxes, shopping applications
Experts on Call: Reservation of meeting time plus on-site consultation with experts to solve problems.
GPS/Galileo based systems: GPS military system now widely used for navigation (e.g. TomTom)
Remote Monitoring: Cameras with cellphones using GPRS to
transmit information for security or safety Entertainment: Huge application area –
Horoscopes to football results. • Directory Services; WAP or Laptop based
database queries. Sports Maps/Navigation guide Virtual Offic
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Examples (2) m-exchange for industry – e-
business transactions mandated by many big companies
m-exchange for agricultural products: applications for speech/hearing challenged people: turn speech to text via handset and vice versa
Agricultural Information: Send details of market prices to fishing boats so they can optimize catches
Knowledge based applications Corporate: On-site diagnosis by
engineers Community; Help my heating
system will not work. Distance Learning: e-learning
for rural and poor communities Digital Library:
Telemedicines: diagnosis and treatment from a distance
Micro-credit Grameen Bank Bangladesh Environmental Protection e-governance Virtual Laboratories Community Forums Law Enforcement: camera
equipped police Job facilitator Telemetric Applications Downloads: ringtones and
screensavers Alerts and Notification football
scores
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(Mobile) Web 2.0
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“I see Web 2.0 as the Intelligent web or “Harnessing Collective Intelligence”. Mobile Web 2.0 extends the principle of ‘Harnessing Collective Intelligence’ to restricted devices. The seemingly simple idea of extending Web 2.0 to mobile Web 2.0 has many facets.”
a) The web does not necessarily extend to mobile devicesb) Even though the web does not extend to mobile devices, intelligence can still be captured from mobile devices.
AJIT JAOKAR, www.mobilewebmegatrends.com
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Examples: [message:intention]
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Arts: expression Business: marketing Education: individual
development Music: marketing Science: society dev. Technology: reputation
Technology
Content type
Message
Intention
Task
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(non audio) Arts: expression
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User generated content Tag Rank Share
Technology
Content type
Message
Intention
Task
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Business: marketing
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Marketing, marketing and marketing Networking Transaction Service(s) Messaging Did I mention marketing?
Technology
Content type
Message
Intention
Task
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Education: individual development
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Wiki* Books.* Social Bookmarking
Technology
Content type
Message
Intention
Goal
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Music: Marketing
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radioheadremix.com/ Last.fm YouTube symphony orchestra
Technology
Content type
Message
Intention
Goal
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Mobile devices as sensors SETI
Understanding individual human mobility patterns
Walking wounds
Technology
Content type
Message
Intention
Task
Science: societal development
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(About) Technology: reputation
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Open Source Reputation Marketing
Technology
Content type
Message
Intention
Task
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Bottom Line
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Roles: User Buyer -> Consumer / Business Formal Buyer Technical Buyer Coach [Academic|public Buyer]
Markets: App stores Industries Domain Functions Content
Innovation: (Business) Value Solve existing
problems Solve problems that
could not be solved before
Technology
Content type
Message
Intention
Task
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Break
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If you have a real smart phone, check out http://bit.ly/lodapp
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Mobile Collaboration Why are things mobile?
Every thing has one or more limitations: Cognitive: data, information, knowledge an
individual/thing can handle is limited Physical: strength, resources (battery, money),
capabilities Temporal: time Institutional: legal, organizational, (inter)national
boundaries Solution:
distribute (loosely) couple collaborate
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Mobile Collaboration
Router
Transceiver
[Gateway] / [Operation]
space
Wireless Network Interface Card
Operation
Wireless devices
Base service sets
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Mobile devices Functions Architecture User Interface Design Standards Interopeability
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Human Interface Design Principles (Dashboard) Metaphors Familiarity Simplicity Availability Discoverability
43http://developer.apple.com/iphone/library/documentation/userexperience
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Keypad (old school)
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Multi touch and gestures (better)
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Software Architectures
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Technical Architecture
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Iphone Cocoa Reference Architecture
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Device architectures
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Server
space
Mobile Device
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What to choose?
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Mobile cultural heritage guide: location-aware semantic search.
Van Aart, C.J., Wielinga B., Van Hage, W.R. EKAW 2010http://www.cs.vu.nl/~vanaart
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Location awareness / LBS
Real time locating and positioning Sun/Stars, Compass, Postal code, WGS84
(GPS)… communication, networks, traffic, logistics,
security, search & rescue, business administration, leisure,…
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Location-aware devices
• Mobile• Context• Battery• Bandwidth• GUI• User• MoSoSo
Stats for search engineshttp://gs.statcounter.com/
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Linked Open Data
linkeddata.org
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http://dbpedia.org/page/Amsterdam
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DBPedia mobile: Google maps
“Louvre app”
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Cultural heritage Museums (old)buildings (monuments) Statues Art-works
Digital cultural heritage Digital representation: images and (meta)data
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Eculture data cloud
Schreiber, G et al. . (2008). Semantic annotation and search of cultural-heritage collec- tions: The MultimediaN E-Culture demonstrator. Journal of Web Semantics, vol 6., pp. 243–249.
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http://e-culture.multimedian.nl/demo/session/search
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http://eculture2.cs.vu.nl/localizer
http://e-culture.multimedian.nl/demo/session/api/search?[keyword,context]
$context = "http://www.vraweb.org/vracore/vracore3#Work";$context = "http://e-culture.multimedian.nl/ns/eculture/Concept";$context = "http://e-culture.multimedian.nl/ns/eculture/Location";$context = "http://e-culture.multimedian.nl/ns/eculture/Person";
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Research question
How to find cultural heritage POIs at a particular location, given the constraints of a mobile device, using current Semantic Web data and technology?
• Sub questions: 1. How to determine user’s context?2. How to combine Linked Open Data and cultural
heritage data?3. How to present the results in a manageable
way on a mobile device?
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“Active” tourist: What do I see? Next stop? Hot spots? History? Stories? Events? Persons? Descriptions? Maps?
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Step 1: Finding out where we are
Step 1 (Iphone): Latitude = 52.368611 Longitude = 4.88944 (we ignore heading)
==> select those geo data that are relevant to this point
Searching dbpedia, linkedgeodata, geonames for locations and objects within a certain distance.
Crawling via various relations (owl:sameAs, nearby etc) we gather a collection of RDF resources related to our location.
Using a Prolog spatial indexing package we can compute distances and directions from our current location.
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Step 2: Results (labels/URIs)
Step 2a (Linked Geo Data): Spui25, Nieuwezijds Voorburgwal, Het Lieverdje, Spui,
Begijnhof (kapel), …
Step 2b: (DBpedia): Spui (Amsterdam), Universiteit van Amsterdam,
Maagdenhuis (only NL), Het Lieverdje (only NL), …
Step 2c: (Geonames): Nieuwezijds Voorburgwal, Lutherse Kerk,
Het Lieverdje, Spui, Begijnhof (RK), Begijnhof, ...
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Step 2: Results (labels/URIs)
Step 2a (Linked Geo Data): Spui25, Nieuwezijds Voorburgwal, Het Lieverdje,
Spui, Begijnhof (kapel), … Step 2b: (DBpedia):
Spui (Amsterdam), Universiteit van Amsterdam, Maagdenhuis (only NL), Het Lieverdje (only NL), …
Step 2c: (Geonames): Nieuwezijds Voorburgwal,
Lutherse Kerk, Het Lieverdje, Spui, Begijnhof (RK), Begijnhof, ...
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Step 3. Merging geo info
Non trivial: Different schemas Different labeling conventions Different (GPS) data
Spui in Amsterdam has at least 5 coordinates in LOD Errors in human annotations Resolve conflicts
Begijnhof isa way Begijnhof isa area
Begijnhof isa building
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3. User Interaction
1. Facets={ location, event, artwork or people}2. SubFacets{ painting, photograph, book, artist, musician, politician, sport, conflict,..}
h = [0..359]
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GUI Design (Dashboard) Metaphors Familiarity Simplicity Availability Discoverability Limited attention span
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Augmented Reality
http://augmentizer.net/
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light weight client with a heavy endpoint
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Scenario: the “Spui”
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Technology
Content type
Message
Intention
Task
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Evaluation
Users Mobile device is much personal than other electronic devices Fooled users that the app actually could recognize POIs The iPhone is “stupid”, when GPS and heading is not accurate Errors in Data, e.g. confusion with Spui in The Hague Missing a lot of information: historical, ratings, popularity, walking
tours Audio representation
Researchers: A lot of links in LOD, actual “knowledge” rather limited:
A lot of comment and labels. Alignment of non-stand URI’s, /Begijnhof_,Amsterdam
/Spui versus /Spui_(Amsterdam) Local information in local languages. English wikis
limited on Amsterdam RDF not too bad
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Discussion
1. How to determine user’s context? Understand task, Location awareness (GPS + heading)
2. How to combine Linked Open Data and cultural heritage data?
Geonames->mental map->PDF graph Semantic crawling is a major improvement over the state of the art
applications Combination of sources achieves an added value Difficult to find information for the “active tourists” on the semantic
web
3. How to present the results in a manageable way on a mobile device?
Not “one” user Syntactic sugar Novel user interface -> augmented television
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NoTube.tv
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Television and (mobile) Social Web
Friends following this event
Friends following this event
Friends following this eventFriends following this event
That was never a corner..
Billy
Friends following this event
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Television and Social Web
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Enrichment
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ProtoType
Technology
Content type
Message
Intention
Task
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iZapper
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Internships 2010-2011 Next generation TV remote
controls Integration of several devices Current selection based on
age and gender Elaborate on awareness
about user’s context: Location Social context Friends Mood
Check out: www.notube.tv Send an email:
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Thank you
See you @ linked data: http://linkeddata.org/
See you @ http://developer.apple.com/iphone/
See you @ VUA: http://www.cs.vu.nl/~vanaart
See you @ 2coolmonkeys: http://2coolmonkeys.nl
Email: [email protected]