Evolution of the Web and Semantic Technologies
•
86 likes•11,619 views
This document discusses the evolution of the web and semantic technologies. It describes how the web has progressed from basic websites and search (Web 1.0) to user-generated content and social aspects (Web 2.0) to the semantic web that adds meaning and structure to data (Web 3.0). It argues that semantic technologies will help address the problem of information overload by making data smarter and more accessible. The document outlines different approaches to semantics including tagging, statistics, linguistics, and artificial intelligence, and how the semantic web aims to move intelligence from software to structured data.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Viewers also liked
Viewers also liked (20)
Similar to Evolution of the Web and Semantic Technologies
Similar to Evolution of the Web and Semantic Technologies (20)
Recently uploaded
Recently uploaded (20)
Evolution of the Web and Semantic Technologies
- 1. Web Evolution Nova Spivack nova@twine.com
- 2. The Intelligence is in the Connections Intelligent Web Web OS Web 4.0 Semantic Web 2018 Intelligent personal agents Real-Time Web Web 3.0 Natural Language Search SWRL Activity streams 2009 OWL SPARQL Lifestreaming AJAX OpenID Semantic Search Social Web Microblogging Widgets ATOM RSS RDF Mashups P2P Memetrackers Office 2.0 Web 2.0 Javascript Flash SOAP Virtual worlds Blogging XML Social Media 1999 The Web Java HTML Social Networks SaaS Connections between Information HTTP Wikis Directory Portals VR Online Services Keyword Search Lightweight Collaboration Web 1.0 Websites BBS Gopher 1989 SQL MacOS Consumer online services The Desktop Groupware SGML Multimedia CDROMs Databases Windows File Servers The Internet PC Era Email IRC 1977 FTP USENET PC’s File Systems Connections between people
- 3. The Future of Search Semantic technologies help to regain Productivity in the face of overwhelming Information growth… The Intelligent Web Web 4.0 2018 Web scale reasoning Intelligent agents The Semantic Web Web 3.0 Natural language search 2009 Automatic semantic tagging (Ontologies) The Social Web Web 2.0 Human social tagging “folksonomies” Productivity of Search The World Wide Web 1998 Web 1.0 1989 Keyword search The Desktop Directories PC Era As amount of data grows, keyword search Is becoming less productive… 1979 Files & Folders Databases Amount of data
- 9. Better personalizationProducts Places Services Interests Web Pages Activities Documents Projects Multimedia Events Groups
- 10. The Third Decade of the Web The next generation: A period in time, not a technology… Enrich the structure of the Web with Semantics Transform the Web from fileserver to database Do for data what Web did for documents Make data easily accessible and searchable
- 11. A Higher Resolution Web IBM.com Web Site Joe Person IBM Company Lives in Palo Alto City Publisher of Fan of Lives in Subscriber to Employee of Sue Person Jane Person Dave.com RSS Feed Fan of Coldplay Band Friend of Member of Depiction of Design Team Group Married to Source of Member of 123.JPG Photo Bob Person Dave.com Weblog Depiction of Member of Member of Dave Person Stanford Alumnae Group Author of Member of
- 12. The Web Is the Database! IBM.com Web Site Joe Person IBM Company Palo Alto City Lives in Publisher of Fan of Lives in Subscriber to Employee of Sue Person Jane Person Dave.com RSS Feed Coldplay Band Fan of Friend of Member of Design Team Group Depiction of Married to Source of 123.JPG Photo Member of Bob Person Dave.com Weblog Depiction of Member of Dave Person Stanford Alumnae Group Member of Author of Member of Application A Application B
- 13. Smart Data Smart Data is data that carries whatever is needed to make use of it. Software can be thinner yet more general – loads in portable data and domain knowledge only when needed. The smarts moves into the data itself rather than being hard-coded into the software
- 14. Five Approaches to Semantics
- 15. The Tagging Approach Tagging
- 16. The Statistical Approach Statistics
- 17. The Linguistic Approach Linguistics
- 18. The Semantic Web Approach Semantic Web
- 19. The Artificial Intelligence Approach Artificial Intelligence
- 20. The Approaches Compared A.I. Semantic Web Make the Data Smarter Linguistics Tagging Statistics Make the software smarter
- 21. The Approaches Compared Wolfram Alpha DBpedia Freebase Siri Twine Flickr Make the Data Smarter Bing / Powerset Delicious Hakia FAST Yahoo Wikipedia Autonomy Google Make the software smarter
- 22. Two Paths to Adding Semantics
- 23. The Semantic Web is a Key Enabler Moves the “intelligence” out of applications, into the data Data becomes self-describing; Meaning of data becomes part of the data Data = Metadata. Just-in-time data Applications can pull the schema for data only when the data is needed, rather than having to anticipate it
- 24. The Semantic Web = Open database layer for the Web
- 25. The Growing Linked Data Universe
- 26. The Growing Semantic Web ONLINE SERVICES CONSUMERS DEVELOPERS APPLICATIONS
- 27. Future Outlook
- 28. Contact Information Nova Spivack Founder/CEO, Twine.com nova@twine.com Twitter.com/novaspivack