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Semantic Web

Beginning from a small project , now web(popularly known as word wide web) consist of  billions of web pages hosted on millions of servers located across the globe. While Web has now become a basic source of Information covering a wide area of interest , (I must say ,almost all the area of interest where current research covering Science,Arts,Engineering is going on) , it also created a challenge of proper information retrieval from unstructured and semistructured web of data.

Keeping these things in mind, Tim Berner Lee(The creator of www) coined a term "Semantic Web", and defined it as:

"a web of data that can be processed directly and indirectly by machines"

According to World Wide Web Consortium (W3C):

"The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries."

In a Nutshell , the concept of Semantic Web can be described as:

"The main purpose of the Semantic Web is driving the evolution of the current Web by enabling users to find, share, and combine information more easily. "

Ofcourse there are many research challenges ,like:


  • Vastness: The World Wide Web contains many billions of pages.  Any automated reasoning system will have to deal with truly huge inputs.
  • Vagueness: These are imprecise concepts like "young" or "tall". This arises from the vagueness of user queries, of concepts represented by content providers, of matching query terms to provider terms and of trying to combine different knowledge bases with overlapping but subtly different concepts. Fuzzy logic is the most common technique for dealing with vagueness.
  • Uncertainty: These are precise concepts with uncertain values. For example, a patient might present a set of symptoms which correspond to a number of different distinct diagnoses each with a different probability. Probabilistic reasoning techniques are generally employed to address uncertainty.
  • Inconsistency: These are logical contradictions which will inevitably arise during the development of large ontologies, and when ontologies from separate sources are combined. Deductive reasoning fails catastrophically when faced with inconsistency, because "anything follows from a contradiction". Defeasible reasoning and paraconsistent reasoning are two techniques which can be employed to deal with inconsistency.

    • Source:
    http://en.wikipedia.org/wiki/Semantic_Web

    Current research on semantic web can also be found at
    "Journal of Web Semantics
    Science, Services and Agents on the World Wide Web"
    The journal is having an IF of 3.4, an impressive one.....
    Web site for the journal is http://www.semanticwebjournal.org/
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