Nearly 65% of users are using social media as component of their regular work routine, including reading blogs, visiting business profiles on sites like Facebook or LinkedIn or using Twitter to hit upon information and/or exchange a few words in relation to  business-related matters. Its interesting to know who uses social media as a resource for bring about their dayto-day everyday jobs at work, how much  experience they have using social media for business in this way, the resources they bring into play largely frequently and how constructive they find these  resources. To get a logic of business social media use by people in different profession levels, roles, industries and company sizes, according to a analysis  every Manager could have indicated that they use social media as a business information resource but not all of them did – a few only worked for companies concerned in social media projects. The Managers were less likely to exploit social media as a business resource than regular,  while middle managers such as Directors and Section Heads were more likely to exercise social media in this way. For job roles using social media to  find business-relevant information is visibly not limited to high-tech facet of the business – in fact, people working in the IT section  were significantly less probable than those from other departments to make use of social media in this manner.

Among those used as any kind of social media to hit upon trade-related information, here is what are most popular ones:

- Attending webinars or listening to podcasts

- Reading ratings/reviews for business products or services

- Saving business-related links on social bookmarking sites

- Participate in discussions on 3rd party web sites.

The fast development in the number of general and niche online business communities over the past 10 or more years and more absolute indexing of online community content by general search engines may combine to give rise to a state where business community visit a large number of business-related online communities or forums in a given month but actually participate in very few. This is an attractive area for potential research. The typical user uses nearly six different social media resources or sites for business information.

Basic logic behind how Google’s AdSense works — automatically analyze the content of web pages to dynamically determine which ads are the most relevant ones to be served there. If you are on a site gathering information about Next generation Notebooks, they show you ads for retailers who sell them — without the publisher or the advertiser (or even the Online Ad Network) having to explicitly specify anything. This is simply contextual advertising, and if this is done using Semantic Technology, its nothing but Semantic Advertising.

Semantic Technology: encodes meanings separately from data and content files, and separately from application code. Semantic technologies are “meaning-centered.” They include tools for: auto-recognition of topics and concepts, information and meaning extraction, and Categorization.

Given a question, semantic technologies can directly search topics, concepts, associations that span a vast number of sources. From the portal perspective, semantic technologies can be thought of as a new level of depth that provides far more intelligent, capable, relevant, and responsive interaction than with information technologies alone.

With HTML and a tool to render it, one can create and present a page that lists items for sale. The HTML of this catalog page can make simple, document-level assertions such as “this document’s title is ‘Widget Superstore’. But there is no capability within the HTML itself to assert unambiguously that, for example, item number XYZ is an Electronic Gadget with a retail price of $199, or that it is a consumer product. Rather, HTML can only say that the span of text “XYZ” is something that should be positioned near “Electronic Gadget” and “$199″, etc. There is no way to say “this is a catalog” or even to establish that “Electronic Gadget” is a kind of title or that “$199″ is a price. There is also no way to express that these pieces of information are bound together in describing a discrete item, distinct from other items perhaps listed on the page.

The Semantic Web takes the solution further. It 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 where as RDF, OWL, and XML, by contrast, can describe arbitrary things such as people, meetings, or airplane parts. Tim Berners-Lee calls the resulting network of Linked Data the Giant Global Graph, in contrast to the HTML-based World Wide Web.

These technologies (RDF, OWL, and XML)_are combined in order to provide descriptions that supplement or replace the content of Web documents. Thus, content may manifest as descriptive data stored in Web-accessible databases, or as markup within documents. The machine-readable descriptions enable content managers to add meaning to the content, i.e. to describe the structure of the knowledge we have about that content. In this way, a machine can process knowledge itself, instead of text, using processes similar to human deductive reasoning and inference, thereby obtaining more meaningful results and facilitating automated information gathering and research by computers.

Semantic targeting makes a step ahead of Contextual Marketing by going deeper than keywords and understanding the page’s actual content, which results in intelligently placed ads and higher conversion rates and revenue. Various Publisher Ad Networks have integrated Semantic technology in their system which discovers, classifies and interprets text information automatically, builds detailed taxonomies in any language, and classifies content on publisher web pages into these taxonomies, a method of organizing content on a website.

**The content in above article is information gathered for you from differnt sources available on Internet**