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SEMANTIC WEB
ANALYTICS
By
Uruvakili Sreelekha
Kireet Pendyala
Reshna Reddy
Sivaarunachalam
Peyush
Shashank Chowdary
CONTEXT
• Semantic web origin
• Semantic web meaning
• Semantic web features
• Advantages
• Disadvantages
• Semantic web analysis
• How it is related to E governance
• Conceptual architecture
• Advantages of using SW in EG
• Challenges
Origin of Semantic web
• Semantic web is envisioned by Berners lee in the year 1994.
• It is also know as W3C as it came in to picture after
developing of World Wide Web.
• Semantic web is designed as the second generation web
building the foundation of a new information place.
Meaning
Semantic web is an extension of current web that is WWW (World
wide Web). It is a common framework that allows user to reuse
and share data across different enterprises, applications, and
communities.
• Todays web is about documents but semantic web is about
things.
• It is capable of recognizing people, places, events,
companies, products, movies, links etc…
• Semantic web can understand the relationship between things.
The goal of the Semantic Web is to make Internet data machine-
readable.
Advantages
• It will make search task faster and easier
• Makes searches more personalized.
• It acts as a personal assistant
• UBIQUITY
Disadvantages
• It is not user friendly
Semantic Web Analytics:
Semantic Web Analytics is the analysis of a website's
traffic done using named entities and related vocabularies.
How it is related to E governance?
SWS technology enables government agencies
to provide value-added services by defining a new service
that out sources from other e-Governance services and to
standardize the description, discovery and
invocation of social programs.
It provides transparent interaction between e
governance and individuals.
Conceptual Architecture
1. Front office
2. SWS layer
3. Back end service provider
Advantages of using SW in e-Governance:
• Reduction of cost and risk.
• Increase in flexibility.
• Automated integration, reasoning and mediation among
heterogeneous data sources and processes at distinct
government levels.
• Discovery of new or previously unknown services.
• Aggregating services on the basis of user preferences i.e.
personalized services.
• Better services to community partner organizations and
individual citizens.
Challenges in e governance with semantic web
• It involves in mere computerization of government
processes.
• It not only faces technical challenges but also
fundamental challenges.
• Multilingual issue
• Requires to build a prototype system and several data
entry systems to cover the data.
• Security and privacy of information (encryption
technique is need to be used).
• Finding the right information.
SEMANTIC WEB ANALYTICS

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SEMANTIC WEB ANALYTICS

  • 1. SEMANTIC WEB ANALYTICS By Uruvakili Sreelekha Kireet Pendyala Reshna Reddy Sivaarunachalam Peyush Shashank Chowdary
  • 2. CONTEXT • Semantic web origin • Semantic web meaning • Semantic web features • Advantages • Disadvantages • Semantic web analysis • How it is related to E governance • Conceptual architecture • Advantages of using SW in EG • Challenges
  • 3. Origin of Semantic web • Semantic web is envisioned by Berners lee in the year 1994. • It is also know as W3C as it came in to picture after developing of World Wide Web. • Semantic web is designed as the second generation web building the foundation of a new information place.
  • 4. Meaning Semantic web is an extension of current web that is WWW (World wide Web). It is a common framework that allows user to reuse and share data across different enterprises, applications, and communities.
  • 5. • Todays web is about documents but semantic web is about things. • It is capable of recognizing people, places, events, companies, products, movies, links etc… • Semantic web can understand the relationship between things. The goal of the Semantic Web is to make Internet data machine- readable.
  • 6. Advantages • It will make search task faster and easier • Makes searches more personalized. • It acts as a personal assistant • UBIQUITY Disadvantages • It is not user friendly
  • 7. Semantic Web Analytics: Semantic Web Analytics is the analysis of a website's traffic done using named entities and related vocabularies.
  • 8. How it is related to E governance? SWS technology enables government agencies to provide value-added services by defining a new service that out sources from other e-Governance services and to standardize the description, discovery and invocation of social programs. It provides transparent interaction between e governance and individuals.
  • 9. Conceptual Architecture 1. Front office 2. SWS layer 3. Back end service provider
  • 10. Advantages of using SW in e-Governance: • Reduction of cost and risk. • Increase in flexibility. • Automated integration, reasoning and mediation among heterogeneous data sources and processes at distinct government levels. • Discovery of new or previously unknown services. • Aggregating services on the basis of user preferences i.e. personalized services. • Better services to community partner organizations and individual citizens.
  • 11. Challenges in e governance with semantic web • It involves in mere computerization of government processes. • It not only faces technical challenges but also fundamental challenges. • Multilingual issue • Requires to build a prototype system and several data entry systems to cover the data. • Security and privacy of information (encryption technique is need to be used). • Finding the right information.