semantics qrobo se bp eng v1.0
DESCRIPTION
Semantics QroboTRANSCRIPT
2009. March
by Semantics. Co., Ltd.
Challenge
Business Plan
Confidential : This proposal and all contents herein are the sole property of Semantics. Co., Ltd.Any reproduction or distribution of this document without the written consent of Semantics. Co., Ltd. is prohibited.
2
Table of Contents
1. Company Overview
2. Product , Service
3. Market & Marketing Strategy
4. Operations
5. Key People & Management
6. Finance
7. Risk Assessment
8. Viability
Appendix. Press Release Data
3
1. Company Overview
1. Vision2. Key Information3. Summary
4
1. Company Overview
• Vision
Our vision is
to make wonderful world
that shares and enjoys
fruitful information & knowledge on the web
without a obstacle of language & country
By using the next generation search platform
* Semantic Web ?
It derives from W3C director Sir Tim Berners-Lee's vision of the Web as a universal medium for data,
information, and knowledge exchange. World IT industry has been trying to develop the core technology of
the next generation search engine that understands meaning of words.
SemanticWeb is the next generation intelligent Web: a computer can understands words and sentences and
carry out logical reasoning. The intelligent Web analyses analogies and interrelations of words to search a
result that a user wishes to locate. It is the Stem Cell technology of IT industry.
5
1. Company Overview
• Key Information
Company SEMANTICS, Inc. / SEMANTICS, Lab.
CEO Arthur Cho
Head of Research CI Chung
Establishment April 2006
Business Internet search service, podcating servicing
Main Business www.qrobo.com / www.podics.com
Employee 47
Company URL www.semantics.co.kr
TEL 02) 6000-6002
FAX 0505-690-6000
6
1. Company Overview
• Summary
Intelligent Internet Company; Semantics Established SEMANTICS, Inc. in 2006 after it has invested 10 years to develop semantic based search engine
In 2008 the company has launched ‘Qrobo’; It is the world first commercialization of a semantic based
search engine
Built the world largest ‘Ontology’, Holding unique technology of building up ‘Ontology’ automatically
99.9% Automated/Computerized Search Engine:
Qrobo’s search robot can analyses meaning of web information and automatically sort them under
prefixed categories
Ranks web information by exposure order by the prefixed categories. It is called ‘Semantic Rank’ and
it helps to carry out accurate/relevant search
Intelligent Robotic Semantic Search Engine : Qrobo (www.qrobo.com)
Multimedia Listing Service Podcast – Podics (www.podics.com)
7
2. Product , Service
1. Technology2. Compare Competitors
8
2. Product, Service
• Technology
Technology that numerates meaning of words. Despite of a language
type whether it is English of French, the technology understands the
structure of the language, the meaning, numerically.
(This is the world unique commercialized technology)
The core technology can be applied to any language. A language
adaptation period is circa 1 month and then the technology can build
any adapted language search engine.
(2 months after the language adaptation period an Alpha site can be
launched. Within 1 year after the language adaptation period an official
site can be launched.)
I. Numerical Vector Language
9
2. Product, Service
• Technology
II. Application of the Numerical Vector Language has no limit
No, Linguists No, Dictionary No, Morpheme Analyzer
Machine Language 10001010110011010001100010101100110100010001010110011010001000101011001101000
Assembly Language
English Japanese Chinese French German
Qrobo Vector LanguageAutomated Transposition
EnglishVector
JapaneseVector
ChineseVector
FrenchVector
GermanVector
All Languages -‘One Standard Process’
10
2. Product, Service
• Technology
III. Intelligent Search Agent equipped with Semantic Web technology
The world largest ‘Ontology’
Real time ontology update : automatically abstracting ontology form
the web builds up its own ‘Ontology’ (the world unique technology)
At present 35 billion ontology has been built up (this is the world
largest)
More accurate/relevant search result through ‘Semantic Rank’ system
Searched information through the ‘Ontology(Knowledge Foundation)’
is analyzed by number of algorithms, such as semantic relation, birth
of the information and etc., then expose the most relevant
information on top rank. This allows Qrobo to provide more
accurate/relevant search result.
11
2. Product, Service
• Technology
Qrobo Original Technology
W3C Standard Technology
DataStudy Input
Humans
WebCrawling Automated Make
Robots
III. Intelligent Search Agent equipped with Semantic Web technology
12
2. Product, Service
• Technology
Qrobo.com35,000,000,000 Ontologies
about 3 months,no humans only robot
Qrobo Original TechnologyW3C Standard Technology
Another Site 10,000 ~ 100,000 Ontologies
about for many years
(2~5 years), many humans
III. Intelligent Search Agent equipped with Semantic Web technology
13
2. Product, Service
• Technology
IV. 99.9% Automation/Computerization (robot does it all)
Full automation from a planning to managing
Once a web site developer let the robot knows definition of a planned
service then the robot abstracts all relevant web information, ranks
them, monitors, and update information automatically
Reduces huge amount of manual work, such as sorting and editing
operation, therefore it requires the minimum manpower who can cover
the creative work that the robot can not do.
Automated/computerized management will let you have a huge
budget saving
14
2. Product, Service
• Technology
OriginalSemantic Search Technology
Automated Ontology Builder
Super Fast Development Timefor All language Service
Robot Management System
Highly Efficient System
Time & Real Cost SavingProfit Margin Increase
Focus on Service PlanningInnovative Trials for New Services
with Technology Barrier
IV. 99.9% Automation/Computerization (robot does it all)
15
2. Product, Service
• Technology
ONTOrobo Automatically builds up Qrobo Ontology Dictionary with abstracting web
information. (Ontology Builder)
DOCUrobo
ISSUErobo
TAGrobo
PERSONALrobo
- Qrobo’s 5 core ‘Serve Robot’
Analyses document/information within 0.03 seconds and then sort it out
under 1250 categories, such as culture, politics, finance and etc.
Analyses a keyword in real-time by year, month, date, season. Manages
lifecycle, popularity and preference of a keyword and then monitors
transition of issues that are relevant to the keyword.
Locate core words from a document/information and locate words that
they have high relevancy, and then automatically tags them to
document/information.
By the users various circumstantial information and previous search
preference, the robot recommends the most relevant search results.
16
2. Product, Service
• Technology
KnowledgeINFO
INFO
People
Intelligence
INFO
None Semantic Technology1(Human) : n(Info)
Semantic Technology1(Human) : 1(Robot) : n(Info)
ROBOT
KnowledgeINFO
INFO
People
Intelligence
INFO
17
2. Product, Service
• Technology
vs
vs
W3CSemantic Web
QroboSemantic Technology
OWL RDFXML
Manual
Semantic web Solution
Search Solution
Automated Ontology
Automated Semantic
Search Solution
Qrobo Original Technology
Qrobo Original TechnologyW3C Standard Technology
W3C Standard Technology
18
2. Product, Service
• Technology
Server Unit
Operating System
Clustering
Database System
Storage System
Making Server For Qrobo
Linux Based ‘Qrobo SemanNUX’
Qrobo Logical Clustering System
Mysql Based ‘Qrobo SemanSQL’
Qrobo Enterprise Storage System
Own Technology
19
2. Product, Service
• Compare Competitors
Yahoo
GoogleAltavista
Excite
Lycos
AskSEMANTIC
Powerset
Hakia
Quintura
Transition of Search Engine and Technology Comparison
20
2. Product, Service
• Compare Competitors
Supports -Yahoo
Supports -Wikipedia,Freebase
HAKIA.com POWERSET.com QUINTURA.com
HakiaManual
HakiaAutomated
Powerset Quintura
Semantic Technology Base
None Next Google.com
Transition of Search Engine and Technology Comparison
21
3. Market & Marketing Strategy
1. Forecast of IT2. Status & Forecast of Web Environment3. Status & Forecast of Search Engine4. Comparison Search Engine5. Search Ads (Korea)
22
3. Market & Marketing Strategy
• Forecast of IT
1990s 2000s 2010s
IT withIntelligence
Source: http://www.nri.co.jp/english/opinion/papers/2006/pdf/np2006102.pdf
Semantic Web Autonomic Computing
Agent-embedded Automobile Navigation Systems
Robots and Agents will Autonomically make Decisions by gathering and Accumulating expert knowledge.
IT Road Map Toward 2010 / Nomura Research Institute, Ltd.
IT Road Map Toward 2010, Semantic & Autonomic
23
3. Market & Marketing Strategy
• Status & Forecast of Web Environment
Artificial Intelligence
Personal Assistants
Ontologies
Taxonomies
KnowledgeBases
KnowledgeManagement
SemanticWebs
Intelligent AgentsEnterprise
Minds
GroupMinds
Lifelogs
SemanticWeblogs
The“Relationship”
WebDecentralisedCommunities
SmartMarketplaces
The GlobalBrain
Search Engines
Content Portals
Databases
File Servers
“Push”
PIMs
Web Sites
EnterprisePortals
Pub-Sub
MarketplacesAuctions
Groupware
Weblogs
Wikis
RSSCommunity
Portals
P2P File-sharing
Conferencing
IM
USENETSocial
Networks
Degree of Social Connectivity
Deg
ree
of In
form
atio
n C
onne
ctiv
ity
Semantic WebConnects Knowledge
Web 3.0The Metaweb
Connects Intelligence
Web 4.0
The WebConnects Information
Web 1.0Social Software
Connects People
Web 2.0
- The Intelligence is in the Connections
24
3. Market & Marketing Strategy
• Status & Forecast of Web Environment
Social Networking
Groupware
JavascriptWeblogs
Databases
File Systems
HTTPKeyword Search
USENET
Wikis
Websites
Directory Portals
2010 - 2020
Web 1.0
2000 - 2010
1990 - 2000
PC Era1980 - 1990
RSS Widgets
PC’s
2020 - 2030
Office 2.0
XML
RDF
SPARQLAJAX
FTP IRC
SOAP
Mashups
File Servers
Social Media Sharing
Lightweight Collaboration
ATOM
Web 3.0
Web 4.0
Semantic SearchSemantic Databases
Intelligent personal agents
JavaSaaS
Web 2.0 Flash
OWL
HTML
SGML
SQLGopher
P2P
The Web
The PC
Windows
MacOS
SWRL
OpenID
BBS
MMO’s
VR
Semantic Web
Intelligent Web
Social Web
Web OS
Connections between people
Con
nect
ions
bet
wee
n In
form
atio
n
The Internet
Semantic Technology
- The Intelligence is in the Connections
25
3. Market & Marketing Strategy
• Status & Forecast of Search Engine
Databases
2010 - 2020
Web 1.0 2000 - 2010
1990 - 2000
PC Era1980 - 1990
2020 - 2030
Web 3.0
Web 4.0
Web 2.0 The World Wide Web
The Desktop Keyword search
Natural language search
Reasoning
Tagging
Semantic SearchThe Semantic Web
The Intelligent Web
Directories
The Social Web
Files & Folders
Keyword Search
Directory Search
Database Search
Semantic Search
2010-2020
2000-2010
Amount of data
Pro
duct
ivity
of S
earc
h
- Intelligent Search Services, Evolutionary trends of Web Search Technology, Semantic Search
26
3. Market & Marketing Strategy
• Comparison Search Engine
1st Generation 1.5th Generation 2nd Generation 3rd Generation
Name Yahoo AltaVista Google Qrobo
Method Directory Search Keyword SearchKeyword
+Ranking SearchKeyword
+Semantic Search
TechnologyDirectory sortingby manually
Search robotlocates webinformation butmanually sortthem out
Search robot locatesand evaluatesreliance of webinformation butsemi automaticallylist them
The next generationtechnology to protectuser from a flood ofirrelevant information
ProfitMakingModel
Banner AdsDisplay BannerPrematureKeyword Ads
ProactiveKeyword Ads
SemanticWeb OntologyKeyword Search Ads.Multi Linguistic Service
27
3. Market & Marketing Strategy
• Search Ads (Korea)
NaverOverture
KoreaInternet Advertisers
35,000
User
Daum
AdWordsInternet Advertisers
1,000,000Google Korea
Yahoo Korea
Advertising Sales Request Advertising Sales
Qrobo(Korea)
Qrobo(Japan)
Qrobo(Global)
Overture Korea
Overture Japan
AdWords
Internet Advertisers35,000
Internet Advertisers50,000
Internet Advertisers1,000,000
Click search adsPay per click advertisingRevenue Sharing
28
3. Market & Marketing Strategy
• Search Ads (Korea)
Dec. 2008 Rankey Data 2008 I.R Data Analyzing Rankey & I.R DatasReasoning Data
1Day AverageU/V
1Day AverageU/V Annual Total Hit
Search ad revenues in 2008 total
(100 million Won)
Average search times by a
person per day
Unit Ads cost per a search
(Won)
Annual Unit cost per a
person (Won)
Naver Portal 12,361,491 Naver Search 9,734,170 63,304,541,500 6,084 18 9 62,501
Daum Portal 9,138,910 Daum Search 4,201,555 14,293,622,285 1,230 9 8 29,275
Empas Portal 2,307,106 Empas Search 968,188 2,447,831,255 223 7 7 17,765
Google KoreaSearch 800,623 3,517,678,740 247 12 7 17,765
EmpasSearch Ads Turnover
2.23billion Won (12.4million pounds) / 2008 / 960K person
Google KoreaSearch Ads Turnover
2.47billion Won (13.7million pounds) / 2008 / 800K person
Profit making model for Qrobo
1 st Year Goal: Levels with Empass and Google Korea
Search Ads
29
3. Market & Marketing Strategy
• Roadmap
2011Qrobo services in 199 countries with
135 different languages
2009Qrobo launch its service in 50 countries,
UK, US, China, Germany and etc, with 22 languages
November 2008Launch Qrobo Japan Beta Version
June 2008Launch Qrobo Korea Beta Version
2012Entering into the big 4 global search engine
30
3. Market & Marketing Strategy
• Goal of Business
Google | Yahoo | MS LiveWorld Market Share
US UK Europe Australia Japan
74.6 81.1 91.4 89.2 51.5
17.6 10.5 4.2 7.0 43.3
4.8 4.0
Google | Yahoo | Live | QroboBy 2012 Qrobo enters in world 4 major search engine group
World 3 major search engine •Google.com•Yahoo.com•Msn.com(Live.com)
8 popular search engines•Ask.com•Aol.com•Altavista.com •Netscape.com•Alltheweb.com •Go.com •Alexa.com •Dogplie.com
- 2008.2Q Efficient Frontier 2008.11 -
31
4. Operations
1. Operational Plan
32
4. Operations
• Operational Plan
Plan
2009
1st half : Inviting Government grant and overseas investment move IDC facility and increa
se sever up to 20,000 units
April launch Qrobo Korea, Aug launch Qrobo Japan
2nd half: Beta service in 22 countries increase server up to 30,000 units
2010
Meets(levels with) Yahoo Global Service
Increase server up to 50,000 units at the IDC
Market Qrobo Search Engine to the major portal sites
2011
Levels with Googles Global Service
Qrobo builds up world largest documents
(Secure over 10% of Korean and Japanese search engine market.)
2012 Entering in world 4 major search engine group (Google, Yahoo, MS Live, Qrobo)
2013 World top 2 search engine (Google, Qrobo)
33
5. Key People / Management
1. Executive profiles2. Organization
34
5. People / Management
• Executive profiles
CEO / CTO Arthur Cho
Research Institute
CI Chung
COO KY Kim
Experience: NewTech Information and Communication LabWebbizline Inc. Street Journal Mysearch Korea Inc. Semantics Korea Inc.
Senior ResearcherCEOCEO & PublisherCEOCEO
Education: Korea UniversityGraduate School of International StudiesExperience:National Intelligence ServiceORG STUDIO Inc.
IT & VentureAuditor
Education:Kyungpook National University(Doctorate, Physical Science)Experience:NewTech ZigZag LabMondex Telecom Inc.Mondex Network Inc.Semantics Korea
Head of R&D LabCEOCEOHead of R&D Lab
35
5. People / Management
• Organization Chart
Executive
Administration R&D
Platform Development Division Service Division
AuditorOversea
Intelligence Platform Development
Service OperationBusiness Service
Platform DevelopmentService Planning
36
6. Finance
1. Investment Plan
37
6. Finance
• Investment Plan
2009 2010 2011
KoreanService
April Grand Open
Levels with Google Korea 22.3 bil won turn over with 5.8
bil won profit
Secure 10% of Korean search engine market
Japanese Service
Aug Grand OpenLevels with
Goo.ne.jp and Google Japan
Secure 10% of Japanese search engine market
Global Service Beta Service in 22 countries
Levels up with Yahoo Regional
service
Levels up with Google Regional
service
2012
Global Service
Entering World 4 major search engine group
Inviting Investment
By Semantics
By Semantics
Inviting Investment
38
7. Risk Assessment
1. Profit Projection by US Keyword Ads Market Share2. Investment Highlight
39
7. Risk Assessment
• Profit Projection by US Keyword Ads Market Share
2009 2010 2011
USMarket 0.3%
About 40 millon dollor
3%About
450 million dollor
15%About
2.5 billion dollor
12,935,000,000 14,906,000,000 16,590,000,000 38,805,000 447,180,000 2,488,500,000$$ $
Only Search Keywords Advertisement
40
7. Risk Assessment
• Investment Highlight
Increase Profit
Maximize User SatisfactionUser can locate accurate/relevant web information faster searching by
Qrobo
Maximize Ads Effect Sponsor can expose theirs Ads to the targeted audience located by Qrobo.
Save Running Cost
Semantic Search Engine
▶Operated by automatic robotic search agent, operation efficiency gets
better but running cost reduces
▶Semantic Agent automatically collects data for new linguistic service
Unique Server Management
Technology
Unique Server Management Technology helps to reduce number of
computer processors and bands width to assist search engine. Low grade
(low cost) server meets the requirements.
Advanced High Performance Search Engine by SemanticWeb Technology
41
8. Viability
1. Advanced and Unique Technology promises rapid growth
42
8. Viability
• Advanced and Unique Technology promises rapid growth
Advanced High Performance Search Engine by SemanticWeb Technology
99.9% automatic/computerization provides low running cost business model
Intelligent Robotic operation requires at the very least manpower
Secure bigger growth engine with locating floating manpower from operation
to R&D
The advanced technology allows operating with low grade (low cost) server.
Floating budget can be invested for further growth.
Due to automatic development system and advanced numerical computer language,
it is possible to build up Global Service in a short period
With less than 10 manpower it takes 2 month to launch Alpha service, 6month to
launch Beta service and less than a year to launch official service.
(ex: Qrobo Japan only took 2 month to launch the current Alpha service with only 5 staff)
43
Appendix. Company Press Release
2007~2008 December
44
Appendix. Press Release Data
2007.3.8 The Electronic Times, Page 1 Top News
'Semantic Web Search engine, the First Commercial'
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
45
Appendix. Press Release Data
2007.11.30 The Electronic Times
Qrobo.com, 2nd Patent Registration
2007.10.17 The Electronic Times
Qrobo.com, 1st Patent Registration
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
46
Appendix. Press Release Data
2008.1.22 The Electronic Times
Qrobo.com, Released next week
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
47
Appendix. Press Release Data
Semantics unveiled the world's first semantic search engine 'Qrobo' at CeBIT 2008
2008.3.5 Global news network AVING | USA
The world's first semantic search engine ‘Qrobo’ at CeBIT 2008
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
48
Appendix. Press Release Data
2008.6.17 The Electronic Times,
The world's first semantic search engine ‘Qrobo’ at World IT Show
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
49
Appendix. Press Release Data
2008.7.10 JoongAng Ilbo
Prevent distortion of public opinion Search Engine, Qrobo
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
50
Appendix. Press Release Data
2008.7.11 CHOSUN Ilbo
Meaning the search engine ‘Qrobo’, Over Google
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
51
Appendix. Press Release Data
2008.8.12 The Electronic Times
Qrobo Plan in Japan2008.11.5 The Electronic Times
Japanese trial Qrobo
1
2
1 2
Open for 2 months
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
52
Appendix. Press Release Data
2008.9.9 Money Today
Qrobo, IPone visual search releases
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
53
Appendix. Press Release Data
2009.12.12 KOREA Ministry, MKE Announcement No. 2008-198
Qrobo, Selected ‘World Class Product’
World Class Product
QroboNext-generation first-class product
Ontology automatically build an artificial intelligent robot, and to give meaning to all the live Web Search Engine
2008y, Score Comparison
SemanticsQrobo
SAMSUNGCDMA Station
DOOSANMedicine
Price 50 80 120
Quality 200 180 100
Technology 200 180 100Source: KOREA Ministry, MKE Announcement No. 2008-198
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
54
Appendix. Press Release Data
2009.12.19 Computer Times / KIPO / MKE / Korea Ministry
‘Qrobo’ Korea 100 patents for Excellence
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
55
Appendix. Press Release Data
2008.12.26 DongA Ilbo
The New Search Engine Google Surpasses
TIMAX vs MSQROBO vs GOOGLE(TIMAX: Korea No.1 SW Company)
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
56
Appendix. Press Release Data
2008.12.29 Electronic Times
Qrobo, Asia's Largest Green IDC building
Government Techno ValleySupport for free
Electric Facilities 1,500kw ~ 5,000kwInternet Backbone
5GB ~ 20GBServer Facility
50,000 EA
2007.03.08
2007.10.17
2008.01.22
2008.03.05
2008.06.17
2008.07.10
2008.07.11
2008.08.12
2008.09.09
2008.12.12
2008.12.19
2008.12.26
2008.12.29
57
㈜시맨틱스www.sematics.co.krwww.qrobo.compodics.qrobo.com