Importance of heuristic algorithms for ontology based search of product in mobile-commerce

In the era of Smartphone where users wants to perform any task in one click, the organization/planning of task is very important so that it can be done with minimum number of steps. Ontology is a method which is used in problem solving and which show product characteristics, properties and relationship between its entities. There are two ways to search; Text/keyword based and Ontology/semantic based. Ontology based search provides accurate and relevant information as compare to text based search because it will show only concise output of given query and also highlights the related keywords that are asked in query. Query uses the standard Meta data libraries like OWL and RDF. There are various algorithms available which can be used for Ontology based search. In this paper authors take the ontology of products available in Mobile Commerce as an example and try to find out the importance of Heuristic search for ontology and how it is helpful for predictive analysis and recommendation system. They also provide a comparative study of keyword and ontology based search and differences between Blind and Heuristic search.