  Service oriented architecture integrated with text mining allows services to
extract information in a well defined manner. In this paper, it is proposed to
design a knowledge extracting system for the Ocean Information Data System.
Deployed ARGO floating sensors of INCOIS (Indian National Council for Ocean
Information Systems) organization reflects the characteristics of ocean. This
is forwarded to the OIDS (Ocean Information Data System). For the data received
from OIDS, pre-processing techniques are applied. Pre-processing involves the
header retrieval and data separation. Header information is used to identify
the region of sensor, whereas data is used in the analysis process of Ocean
Information System. Analyzed data is segmented based on the region, by the
header value. Mining technique and composition principle is applied on the
segments for further analysis. Index Terms-- Service oriented architecture;
Text Mining; ARGO floating sensor; INCOIS; OIDS; Pre-processing.
