Revolution of Competitive Intelligence with Semantic Real time Data warehousing

Semantics is the study of meaning in communication, including the meaning

(or an interpretation of the meaning) of a word, sign, or sentence. How many

times in the middle of an argument have you heard the phrase, “Let’s not

argue about semantics”? Linguists and semanticists have been dealing with

semantics for a long time. However, in the world of computer science, semantics

are relatively new.

In May 2001, Tim Berners-Lee, James Hendler, and Ora Lassila authored an

article in the magazine Scientific American titled “The Semantic Web.” You

can find the article here:

www.sciam.com/article.cfm?id=the-semantic-web

In the final line of this article, the authors state that the Semantic Web will

open up the knowledge and workings of mankind to software agents —

productivity applications that will perform analysis on our behalf.

With this article, The Semantic Web era began. The Semantic Web is about

two specific technical standards:

✓ Common integration formats: The Semantic Web uses common formats

to integrate and combine data drawn from diverse sources. The original

Web mainly concentrated on the interchange of documents.

✓ Language for relationship mapping: The Semantic Web uses language

to record how the data relates to real-world objects. These records

allow a person, or a machine, to start off in one database, and then move

through an unending set of databases connected by a common subject.

These two concepts can be applied to data warehousing and business intelligence

efforts.

I think there is new big opportunity for businesses; we can use real time data warehousing and analyzing real time data, transferring to information and make information in action (knowledge).