semantic web

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Presentation Transcript

Slide 1: 

1 Ashutosh Kotkar TY CSE Semantic Web

Contents : 

2 Contents Introduction Evolution of Web Limitations of Web 2.0 Semantic Web solutions Components Why has it Taken So Long? Overcoming the Barriers Advantages & Disadvantages Applications

Definition : 

3 Definition What is Semantic? An evolving development of the World Wide Web in which the meaning (semantics) of information and services on the web is defined, making it possible for the web to "understand" and satisfy the requests of people and machines to use the web content.

Introduction : 

4 Introduction Sir Tim Berners-Lee's vision. Components of Semantic Web. Resource Description Framework (RDF). RDF Schema Web Ontology Language (OWL). Purpose

Evolution of Web : 

5 Evolution of Web

The Intelligence is in the Connections : 

6 The Intelligence is in the Connections Connections between people Connections between Information Email Social Networking Groupware Javascript Weblogs Databases File Systems HTTP Keyword Search USENET Wikis Websites Directory Portals 2010 - 2020 Web 1.0 2000 - 2010 1990 - 2000 PC Era 1980 - 1990 PC’s 2020 - 2030 XML RDF SPARQL AJAX FTP SOAP File Servers Social Media Sharing Web 3.0 Web 4.0 Semantic Search Semantic Databases Distributed Search Intelligent personal agents Java Web 2.0 Flash OWL HTML SQL The Web The PC Windows MacOS SWRL Semantic Web Intelligent Web The Internet Social Web Web OS

Limitations of HTML : 

7 Limitations of HTML Structure of HTML webpage. Metadata tags, for example <meta name="keywords" content="computing, computer studies, computer"> <meta name="description" content="Cheap widgets for sale"> <meta name="author" content="John Doe"> provide a method by which computers can categorize the content of web pages.

Beyond the Limits of Keyword Search : 

8 Beyond the Limits of Keyword Search Amount of data Productivity of Search Databases 2010 - 2020 Web 1.0 2000 - 2010 1990 - 2000 PC Era 1980 - 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 Search The Semantic Web The Intelligent Web Directories The Social Web Files & Folders

What will the future look like? : 

9 What will the future look like? Social Web

Semantic Web Solutions : 

10 Semantic Web Solutions The Semantic Web involves publishing in languages specifically designed for data: Resource Description Framework (RDF), Web Ontology Language (OWL), and Extensible Markup Language (XML). HTML describes documents and the links between them. RDF, OWL, and XML, by contrast, can describe arbitrary things such as people, meetings, or airplane parts. Giant Global Graph.

Semantic Web Solutions : 

11 Semantic Web Solutions These technologies are combined in order to provide descriptions that supplement or replace the content of Web documents. Thus, content may manifest itself as descriptive data stored in Web-accessible databases, or as markup within documents. Example- User wants to buy a mobile handset online.

How the Semantic Infrastructure gets used in Semantic Search : 

12 How the Semantic Infrastructure gets used in Semantic Search Search Front End “Mobile Handset” Mobile Handset whose manufacturer is Specified in search Who has - nearby price? - provided features? - more options? KB UDDI Other products… Provided features… Nearby price… Caching & Buffering

The third decade of the Web : 

13 The third decade of the Web Enrich the structure of the Web Improve the quality of search, collaboration, publishing, advertising Enables applications to become more integrated and intelligent Transform Web from fileserver to database Semantic technologies will play a key role

The Big Opportunity… : 

14 The Big Opportunity… Better search More targeted ads Smarter collaboration Deeper integration Richer content Better personalization

A Higher Resolution Web : 

15 A Higher Resolution Web Coldplay Band Palo Alto City Jane Person IBM Company Dave Person Bob Person Design Team Group Stanford Alumnae Group Web Site 123.JPG Photo Weblog Sue Person Joe Person RSS Feed Lives in Publisher of Friend of Depiction of Depiction of Member of Married to Member of Member of Member of Fan of Lives in Subscriber to Source of Author of Member of Employee of Fan of

Semantic Web Open Standards : 

16 Semantic Web Open Standards RDF – Store data as “triples” OWL – Define systems of concepts called “ontologies” Sparql – Query data in RDF SWRL – Define rules GRDDL – Transform data to RDF

RDF “Triples” : 

17 RDF “Triples” the subject, which is an RDF URI reference or a blank node the predicate, which is an RDF URI reference the object, which is an RDF URI reference, a literal or a blank node

One Semantic Web or Many? : 

18 One Semantic Web or Many? The answer is….Both The Semantic Web is a web of semantic webs Each of us may have our own semantic web…

Why has it Taken So Long? : 

19 Why has it Taken So Long? The Dream of the Semantic Web has been slow to arrive The original vision was too focused on A.I. Technologies and tools were insufficient Needs for open data on the Web were not strong enough Keyword search and tagging were good enough…for a while

Crossing the Barriers… : 

20 Crossing the Barriers… Communicating the vision Focus on open data, not A.I. Show the market what the benefits are Technology progress Standards & tools finally maturing Needs were not strong enough Keyword search and tagging not as productive anymore Apps need better way to share data Killer apps and content Several companies are starting to expose data to the Semantic Web. Soon there will be a lot of data.

The Semantic Web is a Key Enabler : 

21 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 Apps can become smarter with less work, because the data carries knowledge about what it is and how to use it Data can be shared and linked more easily

Pros & Cons : 

22 Pros & Cons Pros: More precise queries Smarter apps with less work Not as computationally intensive Share & link data between apps Works for both unstructured and structured data Cons: Lack of tools Difficult to scale Who makes all the metadata?

Applications : 

23 Applications Radar Networks DBpedia Project Metaweb FOAF (Friend of a Friend) SIOC (Semantically Interlinked Open Communities) SIMILE (Semantic Interoperability of Metadata and Information in unLike Environments) NextBio OpenPSI

Slide 24: 

24 Any Questions ???

Slide 25: 

25 Thank You…!

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