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Semantic Indexing Technology

Refer to the figure, a semantic application stack for a 'thing' was illustrated. Here all web resources are a 'thing' with an address IRI. The 'thing' properties and ontologies are described with semantic technology protocols XML, RDF and OWL. SPARQL is then used to form logical queries by extracting language grammar terms from the sentence.

This is Semantic Indexing Technology stack:

Natural Language SentenceQuery
Natural Language Grammar InterpreterTerm recognition (noun, pronoun, verb, adverb, adjective)
IRIWeb document address on World Wide Web
thingWeb document


Semantic Indexing Technology is a method where language grammar terms are extracted from a sentence to form a triple <subject, action, object>. These terms are then searched in the semantic database to find an answer to the natural language query. The Semantic TRIZTM is an innovative process where all documents on the World Wide Web are searched for the semantic terms found in any document and a database indexed by these semantic terms is built to answer the queries. The documents have a URI as any web 2.0 document. Goldfire InnovatorTM is an application to search patents documents. Based on the semantic database it can not only answer the natural language queries but also provide trend graphs and data.

Example:
“Where can I find good furniture?” good is an action and furniture is object. Search the semantic database with two keys good and furniture. Return all the document URIs where these two terms are found.
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