SlideShare a Scribd company logo
1 of 21
The difference between a: Knowledgebase  and a Database M-C Jenkins ( http://www.scienceforseo.com )
Data is extracted and displayed This is the database model XKCD comic image
Knowledge is learning & answering This is the knowledgebase model XKCD comic image
'Data is not information;  information is not knowledge;  knowledge is not wisdom' I have the answer I've have the files Knowledge Data
What is Knowledge? Cognition: the psychological result of perception and learning and reasoning (WordNet) Relevant information that one is able to recall from memory; All cognitive expectancies that an individual or organization actor uses to interpret situations and to generate activities; A specific body of knowledge of any kind, on some subject or in some field; (Wiktionary)
What is Data? A collection of facts from which conclusions may be drawn; (WordNet) Data is a collection of facts, figures and statistics related to an object. Data can be processed to create useful information”. (Blurtit) “ Data is information that has been translated into a form that is more convenient to move or process.” (Techtarget)
What is a Knowledgebase? “ A knowledge base is a special kind of database for knowledge management. It provides the means for the computerized collection, organization, and retrieval of knowledge”. (wiki) “ A knowledge base attempts to capture in abstract (machine interpretable) form a useful representation of a physical or virtual world.” (expertise2go) “ Captures human knowledge and places it into a computer system where it is used to solve complex problems normally requiring a high level of human expertise”. (Wiley)
Knowledge engineering is: “ Knowledge engineering. The process of codifying an expert's knowledge in a form that can be accessed through an expert system”. (expertise2go) “ knowledge engineering: The discipline concerned with the application of computer systems to problems of human endeavour such as thinking, learning, problem solving, decision making, and knowledge transfer”. (btb.gc.ca)
So... Data are raw facts.  Information is data with context and perspective.  Knowledge is information with guidance for action based upon insight and experience.  (University of Melbourne)
What is a Database? “ An organized body of related information” (WordNet) “ A database is a structured collection of records or data” (Wikipedia) “ A collection of information organized in such a way that a computer program can quickly select desired pieces of data. You can think of a database as an electronic filing system.” (webopedia)
What is a Knowledgebase again? “ Machine-readable knowledge bases store knowledge in a computer-readable form, usually for the purpose of having automated deductive reasoning applied to them” (Wikipedia) “ A knowledge base is not a static collection of information, but a dynamic resource that may itself have the capacity to learn, as part of an artificial intelligence expert system” (Techtarget) It is an “expert system”, it uses artificial intelligence as well as data stored inside it to give answers and not simply a list of data resources. (Me)
So... Knowledge can be used to change the intelligence agent's status because of the learning process involved, but data cannot. Data-based systems are only process data and don't output information. "The LHC indeed will produce oceans and oceans of data, but the amount of knowledge will be much smaller." ( Cognections )
Knowledgebase challenges... Knowledge is dynamic. It changes all the time. It’s value and quality change all the time. The sources of input information is gathered from multiple sources. These sources change all the time. The knowledge base changes all the time because the new knowledge changes it. This information or data requires different storage and processing solutions.
And so... Things are not known by one single person or even one single group, it is cumulative. We need to access far more sources of information than for database systems. Knowledgebases are much smarter than databases because they process data and use expert knowledge to give answers, recommendations, and expert advice.
AT&T explain the difference... "Apparatus and methods for integrating a knowledge base management system with a data base system. The knowledge base management system employs compositional descriptions which describe information in terms of concepts. A translation component of the apparatus translates compositional descriptions into data base queries, so that information matching a compositional description may be retrieved from the data base. The translation component further permits display of the retrieved data in terms of the compositional description. The returned information can be automatically integrated into the knowledge base, either item by item or on the basis of the compositional description which was used to return the information." Patent assignee AT&T
WolframAlpha say... “ Knowledge bases are composed of a complex web of bits of knowledge that are all linked together and apart (as in explicitly not linked). The fact the WA will not only process your query but also do the mathematical calculation for you, present you with equations, compute things for you and much more shows that it does indeed deal with knowledge and not data. There is no list of resources, there is an answer. This answer will be in the form of information for you (statistics, graphs etc...) and this is extracted from knowledge. Experience that the system has with with world knowledge.”
Google... It has a large database composed of indexed resources and containing lots of information about those. It is issued with a query and presents a list of relevant resources. It gives you data. See: The Anatomy of a Large-Scale Hypertextual Web Search Engine
Missions... "Google's mission is to organize the world's information and make it universally accessible and useful."  "Wolfram|Alpha's long-term goal is to make all systematic knowledge immediately computable and accessible to everyone. We aim to collect and curate all objective data; implement every known model, method, and algorithm; and make it possible to compute whatever can be computed about anything. Our goal is to build on the achievements of science and other systematizations of knowledge to provide a single source that can be relied on by everyone for definitive answers to factual queries."
So now you can see... A database system is different to a knowledgebase system. A KB system is smarter. Google (although they no doubt run KB's for other things) does not give an answer, it gives resources (data). Wolfram gives answers, and has a knowledgebase, which makes it a knowledge engine
These engines are different beasts: Google is a search engine WolframAlpha is a knowledge engine
Resources Stanford's Protege Knowledgebase tool Build a knowledge base with OWL Ontologies and Knowledge Bases (Nicola Guarino) “Real Time Information is Just Data, Knowledge Comes Later”

More Related Content

What's hot

Introduction to Big Data Analytics and Data Science
Introduction to Big Data Analytics and Data ScienceIntroduction to Big Data Analytics and Data Science
Introduction to Big Data Analytics and Data ScienceData Science Thailand
 
Machine learning introduction
Machine learning introductionMachine learning introduction
Machine learning introductionAnas Jamil
 
Semantic Graph Databases: The Evolution of Relational Databases
Semantic Graph Databases: The Evolution of Relational DatabasesSemantic Graph Databases: The Evolution of Relational Databases
Semantic Graph Databases: The Evolution of Relational DatabasesCambridge Semantics
 
Data mining concepts and work
Data mining concepts and workData mining concepts and work
Data mining concepts and workAmr Abd El Latief
 
similarity measure
similarity measure similarity measure
similarity measure ZHAO Sam
 
WEB BASED INFORMATION RETRIEVAL SYSTEM
WEB BASED INFORMATION RETRIEVAL SYSTEMWEB BASED INFORMATION RETRIEVAL SYSTEM
WEB BASED INFORMATION RETRIEVAL SYSTEMSai Kumar Ale
 
Business intelligence, Data Analytics & Data Visualization
Business intelligence, Data Analytics & Data VisualizationBusiness intelligence, Data Analytics & Data Visualization
Business intelligence, Data Analytics & Data VisualizationMuthu Natarajan
 
Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science Venkata Reddy Konasani
 
Domain Driven Design
Domain Driven DesignDomain Driven Design
Domain Driven DesignYoung-Ho Cho
 
Data warehouse and Decision support system
Data warehouse  and Decision support system Data warehouse  and Decision support system
Data warehouse and Decision support system Enaam Alotaibi
 

What's hot (20)

Big Data Analytics
Big Data AnalyticsBig Data Analytics
Big Data Analytics
 
Introduction to Big Data Analytics and Data Science
Introduction to Big Data Analytics and Data ScienceIntroduction to Big Data Analytics and Data Science
Introduction to Big Data Analytics and Data Science
 
Machine learning introduction
Machine learning introductionMachine learning introduction
Machine learning introduction
 
RDF, linked data and semantic web
RDF, linked data and semantic webRDF, linked data and semantic web
RDF, linked data and semantic web
 
Data integration
Data integrationData integration
Data integration
 
Semantic Graph Databases: The Evolution of Relational Databases
Semantic Graph Databases: The Evolution of Relational DatabasesSemantic Graph Databases: The Evolution of Relational Databases
Semantic Graph Databases: The Evolution of Relational Databases
 
Document similarity
Document similarityDocument similarity
Document similarity
 
Data mining concepts and work
Data mining concepts and workData mining concepts and work
Data mining concepts and work
 
Artificial Neural Networks for Data Mining
Artificial Neural Networks for Data MiningArtificial Neural Networks for Data Mining
Artificial Neural Networks for Data Mining
 
DATA WAREHOUSING AND DATA MINING
DATA WAREHOUSING AND DATA MININGDATA WAREHOUSING AND DATA MINING
DATA WAREHOUSING AND DATA MINING
 
similarity measure
similarity measure similarity measure
similarity measure
 
WEB BASED INFORMATION RETRIEVAL SYSTEM
WEB BASED INFORMATION RETRIEVAL SYSTEMWEB BASED INFORMATION RETRIEVAL SYSTEM
WEB BASED INFORMATION RETRIEVAL SYSTEM
 
Jena Programming
Jena ProgrammingJena Programming
Jena Programming
 
Big data
Big dataBig data
Big data
 
Business intelligence, Data Analytics & Data Visualization
Business intelligence, Data Analytics & Data VisualizationBusiness intelligence, Data Analytics & Data Visualization
Business intelligence, Data Analytics & Data Visualization
 
Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science
 
Domain Driven Design
Domain Driven DesignDomain Driven Design
Domain Driven Design
 
Data warehouse and Decision support system
Data warehouse  and Decision support system Data warehouse  and Decision support system
Data warehouse and Decision support system
 
Ontologies
OntologiesOntologies
Ontologies
 
Data warehouse
Data warehouse Data warehouse
Data warehouse
 

Similar to Knowledgebase vs Database

Week-1-Introduction to Data Mining.pptx
Week-1-Introduction to Data Mining.pptxWeek-1-Introduction to Data Mining.pptx
Week-1-Introduction to Data Mining.pptxTake1As
 
Data Structure and Types
Data Structure and TypesData Structure and Types
Data Structure and TypesAnjani Phuyal
 
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...Thomas Rones
 
Human Activities as Linked Data
Human Activities as Linked DataHuman Activities as Linked Data
Human Activities as Linked DataPaolo Pareti
 
eScience: A Transformed Scientific Method
eScience: A Transformed Scientific MethodeScience: A Transformed Scientific Method
eScience: A Transformed Scientific MethodDuncan Hull
 
Introduction to Data and Computation: Essential capabilities for everyone in ...
Introduction to Data and Computation: Essential capabilities for everyone in ...Introduction to Data and Computation: Essential capabilities for everyone in ...
Introduction to Data and Computation: Essential capabilities for everyone in ...Kim Flintoff
 
Comparison of Semantic and Syntactic Information Retrieval System on the basi...
Comparison of Semantic and Syntactic Information Retrieval System on the basi...Comparison of Semantic and Syntactic Information Retrieval System on the basi...
Comparison of Semantic and Syntactic Information Retrieval System on the basi...Waqas Tariq
 
Coping with Data Variety in the Big Data Era: The Semantic Computing Approach
Coping with Data Variety in the Big Data Era: The Semantic Computing ApproachCoping with Data Variety in the Big Data Era: The Semantic Computing Approach
Coping with Data Variety in the Big Data Era: The Semantic Computing ApproachAndre Freitas
 
Python's Role in the Future of Data Analysis
Python's Role in the Future of Data AnalysisPython's Role in the Future of Data Analysis
Python's Role in the Future of Data AnalysisPeter Wang
 
Semantic technologies for the Internet of Things
Semantic technologies for the Internet of Things Semantic technologies for the Internet of Things
Semantic technologies for the Internet of Things PayamBarnaghi
 
Riding The Semantic Wave
Riding The Semantic WaveRiding The Semantic Wave
Riding The Semantic WaveKaniska Mandal
 
TCS_DATA_ANALYSIS_REPORT_ADITYA
TCS_DATA_ANALYSIS_REPORT_ADITYATCS_DATA_ANALYSIS_REPORT_ADITYA
TCS_DATA_ANALYSIS_REPORT_ADITYAAditya Srinivasan
 
Unit 1 Introduction to Data Analytics .pptx
Unit 1 Introduction to Data Analytics .pptxUnit 1 Introduction to Data Analytics .pptx
Unit 1 Introduction to Data Analytics .pptxvipulkondekar
 
ML crash course
ML crash courseML crash course
ML crash coursemikaelhuss
 

Similar to Knowledgebase vs Database (20)

Week-1-Introduction to Data Mining.pptx
Week-1-Introduction to Data Mining.pptxWeek-1-Introduction to Data Mining.pptx
Week-1-Introduction to Data Mining.pptx
 
Database Essay
Database EssayDatabase Essay
Database Essay
 
Data Structure and Types
Data Structure and TypesData Structure and Types
Data Structure and Types
 
Datamining
DataminingDatamining
Datamining
 
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
 
Human Activities as Linked Data
Human Activities as Linked DataHuman Activities as Linked Data
Human Activities as Linked Data
 
eScience: A Transformed Scientific Method
eScience: A Transformed Scientific MethodeScience: A Transformed Scientific Method
eScience: A Transformed Scientific Method
 
Introduction to Data and Computation: Essential capabilities for everyone in ...
Introduction to Data and Computation: Essential capabilities for everyone in ...Introduction to Data and Computation: Essential capabilities for everyone in ...
Introduction to Data and Computation: Essential capabilities for everyone in ...
 
Comparison of Semantic and Syntactic Information Retrieval System on the basi...
Comparison of Semantic and Syntactic Information Retrieval System on the basi...Comparison of Semantic and Syntactic Information Retrieval System on the basi...
Comparison of Semantic and Syntactic Information Retrieval System on the basi...
 
Coping with Data Variety in the Big Data Era: The Semantic Computing Approach
Coping with Data Variety in the Big Data Era: The Semantic Computing ApproachCoping with Data Variety in the Big Data Era: The Semantic Computing Approach
Coping with Data Variety in the Big Data Era: The Semantic Computing Approach
 
BrightTALK - Semantic AI
BrightTALK - Semantic AI BrightTALK - Semantic AI
BrightTALK - Semantic AI
 
Python's Role in the Future of Data Analysis
Python's Role in the Future of Data AnalysisPython's Role in the Future of Data Analysis
Python's Role in the Future of Data Analysis
 
Semantic technologies for the Internet of Things
Semantic technologies for the Internet of Things Semantic technologies for the Internet of Things
Semantic technologies for the Internet of Things
 
Riding The Semantic Wave
Riding The Semantic WaveRiding The Semantic Wave
Riding The Semantic Wave
 
TCS_DATA_ANALYSIS_REPORT_ADITYA
TCS_DATA_ANALYSIS_REPORT_ADITYATCS_DATA_ANALYSIS_REPORT_ADITYA
TCS_DATA_ANALYSIS_REPORT_ADITYA
 
Database Essay
Database EssayDatabase Essay
Database Essay
 
Unit 1 Introduction to Data Analytics .pptx
Unit 1 Introduction to Data Analytics .pptxUnit 1 Introduction to Data Analytics .pptx
Unit 1 Introduction to Data Analytics .pptx
 
ML crash course
ML crash courseML crash course
ML crash course
 
Data mining
Data miningData mining
Data mining
 
Essay Database
Essay DatabaseEssay Database
Essay Database
 

More from CJ Jenkins

I am an experience designer
I am an experience designer I am an experience designer
I am an experience designer CJ Jenkins
 
How Sentiment Analysis works
How Sentiment Analysis worksHow Sentiment Analysis works
How Sentiment Analysis worksCJ Jenkins
 
Using construction grammar in conversational systems
Using construction grammar in conversational systemsUsing construction grammar in conversational systems
Using construction grammar in conversational systemsCJ Jenkins
 
Building a semantic website
Building a semantic websiteBuilding a semantic website
Building a semantic websiteCJ Jenkins
 
Search Engine Spiders
Search Engine SpidersSearch Engine Spiders
Search Engine SpidersCJ Jenkins
 
Twitter for business
Twitter for businessTwitter for business
Twitter for businessCJ Jenkins
 
The search engine index
The search engine indexThe search engine index
The search engine indexCJ Jenkins
 

More from CJ Jenkins (7)

I am an experience designer
I am an experience designer I am an experience designer
I am an experience designer
 
How Sentiment Analysis works
How Sentiment Analysis worksHow Sentiment Analysis works
How Sentiment Analysis works
 
Using construction grammar in conversational systems
Using construction grammar in conversational systemsUsing construction grammar in conversational systems
Using construction grammar in conversational systems
 
Building a semantic website
Building a semantic websiteBuilding a semantic website
Building a semantic website
 
Search Engine Spiders
Search Engine SpidersSearch Engine Spiders
Search Engine Spiders
 
Twitter for business
Twitter for businessTwitter for business
Twitter for business
 
The search engine index
The search engine indexThe search engine index
The search engine index
 

Recently uploaded

#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?XfilesPro
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 

Recently uploaded (20)

#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 

Knowledgebase vs Database

  • 1. The difference between a: Knowledgebase and a Database M-C Jenkins ( http://www.scienceforseo.com )
  • 2. Data is extracted and displayed This is the database model XKCD comic image
  • 3. Knowledge is learning & answering This is the knowledgebase model XKCD comic image
  • 4. 'Data is not information; information is not knowledge; knowledge is not wisdom' I have the answer I've have the files Knowledge Data
  • 5. What is Knowledge? Cognition: the psychological result of perception and learning and reasoning (WordNet) Relevant information that one is able to recall from memory; All cognitive expectancies that an individual or organization actor uses to interpret situations and to generate activities; A specific body of knowledge of any kind, on some subject or in some field; (Wiktionary)
  • 6. What is Data? A collection of facts from which conclusions may be drawn; (WordNet) Data is a collection of facts, figures and statistics related to an object. Data can be processed to create useful information”. (Blurtit) “ Data is information that has been translated into a form that is more convenient to move or process.” (Techtarget)
  • 7. What is a Knowledgebase? “ A knowledge base is a special kind of database for knowledge management. It provides the means for the computerized collection, organization, and retrieval of knowledge”. (wiki) “ A knowledge base attempts to capture in abstract (machine interpretable) form a useful representation of a physical or virtual world.” (expertise2go) “ Captures human knowledge and places it into a computer system where it is used to solve complex problems normally requiring a high level of human expertise”. (Wiley)
  • 8. Knowledge engineering is: “ Knowledge engineering. The process of codifying an expert's knowledge in a form that can be accessed through an expert system”. (expertise2go) “ knowledge engineering: The discipline concerned with the application of computer systems to problems of human endeavour such as thinking, learning, problem solving, decision making, and knowledge transfer”. (btb.gc.ca)
  • 9. So... Data are raw facts. Information is data with context and perspective. Knowledge is information with guidance for action based upon insight and experience. (University of Melbourne)
  • 10. What is a Database? “ An organized body of related information” (WordNet) “ A database is a structured collection of records or data” (Wikipedia) “ A collection of information organized in such a way that a computer program can quickly select desired pieces of data. You can think of a database as an electronic filing system.” (webopedia)
  • 11. What is a Knowledgebase again? “ Machine-readable knowledge bases store knowledge in a computer-readable form, usually for the purpose of having automated deductive reasoning applied to them” (Wikipedia) “ A knowledge base is not a static collection of information, but a dynamic resource that may itself have the capacity to learn, as part of an artificial intelligence expert system” (Techtarget) It is an “expert system”, it uses artificial intelligence as well as data stored inside it to give answers and not simply a list of data resources. (Me)
  • 12. So... Knowledge can be used to change the intelligence agent's status because of the learning process involved, but data cannot. Data-based systems are only process data and don't output information. "The LHC indeed will produce oceans and oceans of data, but the amount of knowledge will be much smaller." ( Cognections )
  • 13. Knowledgebase challenges... Knowledge is dynamic. It changes all the time. It’s value and quality change all the time. The sources of input information is gathered from multiple sources. These sources change all the time. The knowledge base changes all the time because the new knowledge changes it. This information or data requires different storage and processing solutions.
  • 14. And so... Things are not known by one single person or even one single group, it is cumulative. We need to access far more sources of information than for database systems. Knowledgebases are much smarter than databases because they process data and use expert knowledge to give answers, recommendations, and expert advice.
  • 15. AT&T explain the difference... "Apparatus and methods for integrating a knowledge base management system with a data base system. The knowledge base management system employs compositional descriptions which describe information in terms of concepts. A translation component of the apparatus translates compositional descriptions into data base queries, so that information matching a compositional description may be retrieved from the data base. The translation component further permits display of the retrieved data in terms of the compositional description. The returned information can be automatically integrated into the knowledge base, either item by item or on the basis of the compositional description which was used to return the information." Patent assignee AT&T
  • 16. WolframAlpha say... “ Knowledge bases are composed of a complex web of bits of knowledge that are all linked together and apart (as in explicitly not linked). The fact the WA will not only process your query but also do the mathematical calculation for you, present you with equations, compute things for you and much more shows that it does indeed deal with knowledge and not data. There is no list of resources, there is an answer. This answer will be in the form of information for you (statistics, graphs etc...) and this is extracted from knowledge. Experience that the system has with with world knowledge.”
  • 17. Google... It has a large database composed of indexed resources and containing lots of information about those. It is issued with a query and presents a list of relevant resources. It gives you data. See: The Anatomy of a Large-Scale Hypertextual Web Search Engine
  • 18. Missions... "Google's mission is to organize the world's information and make it universally accessible and useful." "Wolfram|Alpha's long-term goal is to make all systematic knowledge immediately computable and accessible to everyone. We aim to collect and curate all objective data; implement every known model, method, and algorithm; and make it possible to compute whatever can be computed about anything. Our goal is to build on the achievements of science and other systematizations of knowledge to provide a single source that can be relied on by everyone for definitive answers to factual queries."
  • 19. So now you can see... A database system is different to a knowledgebase system. A KB system is smarter. Google (although they no doubt run KB's for other things) does not give an answer, it gives resources (data). Wolfram gives answers, and has a knowledgebase, which makes it a knowledge engine
  • 20. These engines are different beasts: Google is a search engine WolframAlpha is a knowledge engine
  • 21. Resources Stanford's Protege Knowledgebase tool Build a knowledge base with OWL Ontologies and Knowledge Bases (Nicola Guarino) “Real Time Information is Just Data, Knowledge Comes Later”