1 An Ontology-Based Contextual Data Modeling for Process Improvement in Healthcare
A. M. Abirami1* and A. Askarunisa2
1Department of Information Technology, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India
2Department of Computer Science and Engineering, KLN College of Information Technology, Madurai, Tamil Nadu, India
Abstract
The internet world contains large volume of text data. The integration of web sources is required to derive needed information. Human annotation is much difficult and tedious. Automated processing is necessary to make these data readable by machines. But mostly they are available in unstructured format, and they need to be formatted into structured form. Structured information is retrieved from unstructured or semi-structured text which is defined as text analytics. There are many Information Extraction (IE) techniques available to model the documents (product/service reviews). Vector space model uses only the content but not the contextual representation. This complexity is resolved by Semantic web, the initiative of WWW Consortium. The advantage of the use of Semantic web enables the ease of communication between Businesses and in process improvement.
Keywords: Ontology, semantic-web, decision making, healthcare, service, reviews
1.1 Introduction
Text analysis is defined as deriving structured data from unstructured text. Additional information like customer insight about the product or service can be retrieved from the unstructured data ...
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