Presented By: Zubair Azmat Syed Tauseef Hasnain Abidi Saba Khan Sharjeel Awais Sadaf ijaz 1

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 Semantics is the study of meaning. Focuses on the relation between signifiers, such as words, phrases, signs and symbols, and what they stand for.  Linguistic semantics is the study of meaning that is used by humans to express themselves through language.  Other forms of semantics include the semantics of programming languages, formal logics, and semiotics.  The formal study of semantics intersects with many other fields of inquiry, including lexicology, syntax, pragmatics, etymology and others, although semantics is a well-defined field in its own right, often with synthetic properties.  Semantics contrasts with syntax, the study of the combinatory of units of a language (without reference to their meaning), and pragmatics, the study of the relationships between the symbols of a language, their meaning, and the users of the language 3

The Semantic Web is a web that is able to describe things in a way that computers can understand. The Beatles was a popular band from Liverpool. John Lennon was a member of the Beatles. "Hey Jude" was recorded by the Beatles. Sentences like the ones above can be understood by people. But how can they be understood by computers? This is what the Semantic Web is all about. Describing things in a way that computers applications can understand it. The Semantic Web is not about links between web pages. The Semantic Web describes the relationships between things (like A is a part of B and Y is a member of Z) and the properties of things (like size, weight, age, and price) 4

The semantic wave embraces four stages of internet growth: Web 1.0, was about connecting information Web 2.0 is about connecting people Web 3.0 is starting now and it is about representing meaning, connecting knowledge Web 4.0 will come later and it is about connecting intelligences in a ubiquitous web where both people and things can reason and communicate together Web 5.0 will come finally and it is about connecting models in a “Global Understanding Environment” 5

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 Social computing is software and service that supports group interaction.  It is technology of cooperation and techno-socio-economic collaboration.  Personal and social computing powered by semantic technologies will add underlying knowledge representations to data, processes, services, and software functionality.  Semantic social computing. Web 3.0 will take social computing to a new level — a semantic fabric for shared development and exploitation of knowledge in all forms.  E.g.: content, models, services, & software behaviors.  A killer app will be collective knowledge systems that provide useful information based on human contributions augmented with structured data from multiple, heterogeneous sources integrated meaningfully, and which gets better as more people participate. 7

ChallengesFusion of web 2.0 and semantic web Techno-socio-economic collaboration across boundaries Coping with information overload MotivationEasy –to-use collaboration for content & knowledge development Social networking, customer generated content, do-it- yourself applications and services End gameNew product categories — social computing fabric for shared development and exploitation of knowledge in all forms, e.g.: content, models, services, & software behaviors Semantic marketing and advertising. Value vectorEfficient support for social computing

The emergence of semantic technologies for consumer and enterprise applications Growth of multi-billion dollar markets for Web 3.0 products and services. The ways Web 3.0 will change how we use and experience the internet for pleasure and profit. Web 3.0 will spawn multi-billion dollar technology markets that will drive trillion dollar global economic expansions to transform industries as well as our experience of the internet. 9

WEB 1.0 WEB 2.0 WEB 3.0 The mostly read only web The wildly read write web The portable personal web Focused on companiesFocused on communities Focused on individual life stream Home pagesBlogsConsolidated dynamic content Owning contentSharing contentThe semantic web Britannica onlineWikipediaWidgets, drags and drops HTML, portalsXML, RSSUser behavior Web formsWeb applicationsiGoogle, Netvibes Directories(taxonomy)Tagging (folksonomy)User engagement

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 Semantic instant messaging  Semantic  Semantic blogging  Semantic bookmarking  Semantic social networking  Semantic tag clouds  Smart mobs  Social operating systems  Semantic wikis  Semantic agent wiki 13

 Instant messaging (IM) is a form of real-time communication between two or more people based on typed text that is conveyed via computing devices connected over a network such as the Internet. (Wikipedia).  Semantic Instant Messaging uses knowledge models to identify, log, elicit context, semantically categorize, archive, search, and share content and knowledge about these messages making IM more useful with other personal and social applications. 14 Instant Messages Chat Web Links Images Sounds Files Talk Streaming Content IM Feat ures

 Semantic understands the messages received, and performs corresponding actions according to a schema or semantic model specified in the semantic system.  The objective is to make s both human- and machine- understandable in order to simplify many common related tasks. 15

 Blogs are “diary” type online sites, with new postings published regularly (daily, weekly) by individuals or groups. Postings are generally a mixture of personal thoughts, pictures, video, and web links.  Semantic blogs add semantic metadata to posts. These annotations associate concepts, relationships and other structured information to the content, e.g., contact details of a person, the date and venue of a conference, bibliographic data about a paper, etc. 16 Semantic blog capabilities include: (a)semantic view (b)semantic navigation (c) semantic query (d) personal ontology

 Bookmarks are shortcuts that enable quick access of the desired Web content on a specific web page.  Semantic bookmarks associate the content in web pages, even from different websites, with externally represented concepts in a domain ontology. 17

 A social network is a map of the relationships between individuals, showing ways they are connected through various social familiarities ranging from casual acquaintance to work, to close familial bonds.  Semantic social networks extend the concept of social computing and content syndication with explicit semantic descriptions of people, sites, and content and new functionality. 18

 Tagging is a way to create metadata through human collective intelligence  A folksonomy is a tag cloud with frequencies of tags that emerges from a spontaneous, collaborative work to categorize links by a community of users  Semantic tag clouds” extends the concept of folksonomy to represent the structure and semantics of a collection of tags, and the social networks among users, based on the tags. 19

 FOAF (Friend of a Friend) concepts can describe human or machine agents, which generate tags, as well as relationships among users.  SKOS (Simple Knowledge Organization Systems) and Topic Maps concepts can provide a semantically rich way to specify the concept of a tag.  SIOC (Semantically Interlinked Online Community) concepts can describe site information, relationships among site- resources, and site-site relationships 20

 Smart mobs are groups of people who meet online to complete tasks that they jointly consider important.  Happens often in the gaming world  Mobile devices connect them with other information devices in the environment as well as with other people's telephones and computers 21

 Software platforms enabling systematic management and facilitation of human social relationships and interactions  Some key capabilities of an ideal “social operating system” would include: a) Identity management (personalization) b) Relationship management (search for people) c) Communication (SMS, ) d) Social content distribution (News feed etc.) e) Social coordination (Event management) f) Social collaboration (file sharing) 22

 A Wiki is a read-write website consisting of a set of linked web pages, created through the incremental development by a group of collaborating users.  A semantic wiki extends the concept of a wiki to include an underlying model of the knowledge described in its pages.  Regular wikis have structured text and un-typed hyperlinks.  Semantic wikis capture and identify further information about topic pages and their relations (i.e., semantic metadata). This knowledge model is expressed in a formal language, so that machines can process it. 23

 Semantic wikis enhance collaboration and information sharing by providing concept-based rather than language-based searching.  Semantic wikis provide richly structured content navigation, including multiple views or perspectives, multiple levels of relationships.  Semantic wikis allow mining of relationships in content. Wiki content can link with external repositories, file systems e.g. personal desktop, enterprise servers, web sources, semantic- enabled feeds [e.g. RSS]) Also wiki content can link to dynamic models, simulations, visualizations, and services. 24

 Semantic agent wiki environment where individuals with diverse skills and expertise can collaborate.  Each person contributes using the form of knowledge expression they understand best such as documents, drawings, pictures, models, software behaviors, user interface designs, etc. — yet all have visibility into all the underlying concepts and relationships.  Versioning and change management are automated, so that the community can jointly create, understand, manage, and evolve their solution together. 25

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 /MDavis pdf  cs_Empowered_Social_Computing  b  t.asp 28

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