• Faseela mol. A
• Subin Omanakuttan

The web contains lot of information. Today we will get any information from web. If there are many complications to make use of web professionally. Due to more information, the users does not get the information related to the requirement. At the time of searching, we will get variety of information that may not Relevant for our purpose. Most often, most of the web content have not contained semantic information. The poor quality of web handled by semantics. Semantic web make internet highly available for computer based analysis by using formal languages like Resource Description Framework (RD F) and Web Ontology Language (OWL).This is a project, helps to small business. It focused on developing a knowledge bases of small business and to give valuable information about the business to user. Among the business lot of small business are generally not noticed by people. Here we will collect static data and dynamic data. Static data collected from live and dynamic data collected from web crawling. Web crawling from different web sources. Business name, business area, contact, website, address are the small business static feature and reputation is the dynamic feature of small business. A small business owners wisely seek to grow by implementing well designed process management system. Its implements to understand the difference static systems and dynamic systems. But static systems lack movement. Fixed by design often viewed as out of fashion, tedious, or uninteresting. Dynamic crawled data are used to develop business marketing strategy. Here used data source is twitter. Twitter users posting tweets about the business. The posted tweets has positive comments and negative comments. Those comments helps to identify the recent trends of peoples. Here these data are mined by using text mining techniques.

Spider bots, knowledge Discovery, Small business, Data mining, Data analysis

" LOCALISED DETECTION OF SMALL INDUSTRIAL DOMAINS USING SPIDER BOTS: A STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.480-489, May-2019, Available :http://www.jetir.org/papers/JETIR1905R73.pdf

" LOCALISED DETECTION OF SMALL INDUSTRIAL DOMAINS USING SPIDER BOTS: A STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp480-489, May-2019, Available at : http://www.jetir.org/papers/JETIR1905R73.pdf