Some thoughts on “Social Semantic Web”

Now a days,its important to be active in the second world- Th Internet . Interconnecting the social and professional websites with semantic technologies, and powering semantic applications with rich social web created content. Where Web 2.0 Meets Web 3.0. The concept was orginally developed by Manuel Zacklad and Jean-Pierre in 2003

Social Semantic Web” (sometimes also called “Web 3.0″), forming a network of interlinked and semantically-rich social web content and knowledge.

Social Web is currently used to describe how people socialize or interact with each other throughout the World Wide Web. Such people are brought together through a variety of shared interests.

There are different ways in which people want to socialize on the Web today. The first kind of socializing is typified by “people focus” websites such as Bebo, Facebook,Linkedin and Myspace.

Such sites promote the person as focus of social interaction. To do this a profile is constructed by each user. In many ways the profile is similar to a passport.

The second kind of socializing is typified by a sort of “hobby focus” websites. For example, if one is interested in photography and wants to share this with like-minded people, then there are photography websites such as Flickr, Kodak Gallery and Photobucket.

There are also two ways in which people socialize with each other in the Social Web.

The most general and most common type is always at a distance and only on the World Wide Web. In such socializing there is never face to face personal contact. Much of the socializing on Flickr is sharing of photos and making comments on the photos of others.

However, where Flickr members come from a common local geographical area, then they are inclined to get together physically for a common photoshoot.

This exemplifies the second type of socializing through the World Wide Web: that which leads to real physical contact. Typical examples of the latter arose historically from social networking both within and outside schools and colleges. Facebook’s origins are in the facebook of college students from Harvard University.

The Social Web (including services such as MySpace, Flickr, last.fm,Orkut,Linked in and WordPress) has captured the attention of millions of users as well as billions of dollars in investment and acquisition.

Web 2.0 (aka. social web) applications such as Wikipedia, LinkedIn and FaceBook, are well-known for fast-growing online data production via their network effects.

Social websites, evolving around the connections between people and their objects of interest, are encountering boundaries in the areas of information integration, dissemination, reuse, portability, searchability, automation and demanding tasks like querying.

The Social Web may also be used to refer to two different, yet related concepts. The first is as a description of web 2.0 technologies that are focused on social interaction and community. The second is a proposal for a future network similar to the World Wide Web.

The Semantic Web is an ideal platform for interlinking and performing operations on the Social Web, and has produced a variety of approaches to overcome the boundaries being experienced in Social Web application areas.

The Semantic Web is an evolving development of the World Wide Web in which the 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.

It derives from World Wide Web Consortium director Sir Tim Berners-Lee’s vision of the Web as a universal medium for data, information, and knowledge exchange.[3]

At its core, the semantic web comprises a set of design principles,[4] collaborative working groups, and a variety of enabling technologies.

Heuristics, RDF, OWL

Some of these include Resource Description Framework (RDF), a variety of data interchange formats (e.g. RDF/XML, N3, Turtle, N-Triples), and notations such as RDF Schema (RDFS) and the Web Ontology Language (OWL), all of which are intended to provide a formal description of concepts, terms, and relationships within a given knowledge domain.

Meanwhile, emerging Web 3.0 applications, driven by semantic web technologies such as RDF, OWL and SPARQL, offer powerful data organization, combination, and query capabilities.

The Resource Description Framework (RDF) is a family of World Wide Web Consortium (W3C) specifications originally designed as a metadata data model. It has come to be used as a general method for conceptual description or modeling of information that is implemented in web resources; using a variety of syntax formats.

The OWL Web Ontology Language is designed for use by applications that need to process the content of information instead of just presenting information to humans. OWL facilitates greater machine interpretability of Web content than that supported by XML, RDF, and RDF Schema (RDF-S) by providing additional vocabulary along with a formal semantics. OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full.

This specification defines the syntax and semantics of the SPARQL query language for RDF. SPARQL can be used to express queries across diverse data sourcesThe results of SPARQL queries can be results sets or RDF graphs.

The social web and the semantic web complement each other in the way they approach content generation and organization.

Social web applications are fairly unsophisticated at preserving the semantics in user-submitted content, typically limiting them user tagging and basic metadata. Because of this, they have only limited ways for consumers to find, customize, filter and reuse data. Semantic web applications, on the other hand, feature sophisticated logic-backed data handling technologies, but lack the kind of scalable authoring and systems found in successful social web applications. As a result, semantic web applications are typically of limited scope and impact. A new generation of applications that combine the strengths of these two approaches: the data flexibility and portability of that is characteristic of the semantic web, and the scalability and authorship advantages of the social web.

We have identified three possible social approaches for solving the problems of user driven ontology evolution for the semantic web.

First, users could create a folksonomy (flat taxonomy).

With Social Network Analysis (SNA)

Secondly a set of ontology engineers or ontologists could manually analyze the tags created by the users and by using this data, create a more sound ontology.

WordNet ontology.[5] Social Networks Ontology is the most important concept in social web.

• DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia and to link other datasets on the Web to Wikipedia data.

• SIOC provides methods for interconnecting discussion methods such as blogs, forums and mailing lists to each other. It consists of the SIOC ontology, an open-standard machine readable format for expressing the information contained both explicitly and implicitly in internet discussion methods, of SIOC metadata producers for a number of popular blogging platforms and content management systems, and of storage and browsing / searching systems for leveraging this SIOC data.

• Stumpedia is a social project and community effort that relies on human participation and folksonomies to index, organize, and review the world wide web. The aim is to help build Natural Language Processing and the Semantic Web.

• Semandeks is a bottom-up approach for building the semantic web. Its strength is the UI it uses.

• Twine combines features of forums, wikis, online databases and newsgroups and employs intelligent software to automatically mine and store data relationships expressed using RDF statements.