Semantic Web

The skill-driven organizations can become more adaptable and dynamic through semantic technologies to collaborate with readily available data into the environment. The semantic web makes it simpler for computer systems to interpret the contents. Our special architecture uses semantic web based ontology of the area to assist in the retrieval of the relevant data and the ideas from the application. We assist the end-users through a conversation that enables to understand all their requirements and to determine the tasks that provides the right solutions.


Enables distinct semantics for the various concepts in the domain through definition of several schema.Formulates generic queries (SPARQL) and instantiate them at runtime in order to answer the queries.Creates parts of the ontology and pops query on it flawlessly using various technologies

Tools and Technologies in Semantic Web

The Domain Ontology is described using Semantic Web Technology

  • Resource Description Framework (RDF)
  • Web Ontology Language (OWL)

Research Focus in Semantic Web

Our research centre focuses on the following areas:

  • Ontology: Matches with common vocabulary and domain knowledge
  • Semantic annotation: It extracts the metadata that can be manual, semi-automatic or automatic
  • Reasoning: It provides unexpressed facts in ontology

Areas of Interest in Semantic Web

  • Information retrieval
  • Similarity measurement
  • Semantic content extraction
  • Semantic Annotation
  • Search Engine

Semantic Web Projects

  • Automatic Video Semantic Content Extractor
  • Semantic Annotation Verifier for Web Services
  • Personalized User Profile Ontology Creator
  • Ontology Search Engine