A REVIEW ON CONTEXT MODELLING TECHNIQUES IN CONTEXT AWARECOMPUTING K.S.Sagaya Priya #1 ,Dr.Y.Kalpana #2 #1 Research Scholar, Dept. of Computing Science, Vels University, Chennai,Tamil Nadu, India. #2 Associate Professor Dept. of Computing Science, Vels University, Chennai,Tamilnadu, India. 1 priya.clement.jesus@gmail.com 2 ykalpanaravi@gmail.com Abstract--A system is context-aware if it uses context to provide relevant information or services to the user, where relevancy depends on the user’s task. Context-awareness is offering services to users with react of proactively to user environment and service conditions.The main goal of context-aware system is to track and identify the users. There exist many approaches for modeling contextinformation and each model brings along some reasoning techniques. Many researchers are concentrated the context aware computing and pervasive computing and has developed different context modeling and reasoning techniques. This paper mainly addresses keyperformance issues, challenges and differentmodeling techniques for Context aware computing and summarizes them. Keywords: Context, Context aware computing, Modeling Techniques I. Introduction The term “Context” is some information which can be used to describe the situation of the entity”. An entity is a person, place or object that is considered relevant to the user or an application [16]. In a real time scenario, Context are might be location, time, temperature, noise and bandwidth of communication etc. A context-aware system is described as a system which usescontext to provide adequate and proper information and/or services to the user, where relevancy depends on the user’s task [17]. As Schilit, Adams, & Want[18] definition, “A Context aware computing is a software that examines and reacts to an individual’s changing context”. The objective of most current research is to develop uniform context models, representation and query languages as well as reasoning algorithmsthat facilitate context sharing and interoperability of applications. In this paper we want to make a survey of the most relevant current approaches for modeling context for context aware computing. We start in section 2 with some specific requirementsarising from context modeling techniques. Section 3 summarizes various context modeling techniques in context aware computing. Section 4 discusses various contexts frameworks which are used various context modeling technique.Section 5 presents with conclusion and discussion on context modeling techniques. II. Requirements of Context Modeling Approaches It is important for any modeling of context information closely with several requirements. In this section, will give a short overview to the requirements defined by Strang and Linnhoff-Popien [19]: 1.Distributed composition: Strang and Linnhoff-Popien defineubiquitous or pervasive computing is a specializedarea of distributed and mobile computing. Anycontext modeling approach for pervasive computinghas a lack of a central instance. It is responsible forcreation, deployment and maintenance of data and services. 2.Partial validation: Context modeling techniques has the ability to partially validate the contextual knowledge on structure as well as on instance level against context model.This very important requirements because of the complexity of contextual interrelationships. 3.Richness and quality of information: The quality of informationdelivered by sensors varies over time, as well as therichness of information provided by different sensors. So the context modeling techniques has this requirement. 4.Incompleteness and ambiguity: These existing contextinformation at any time is usually incomplete and/orinexplicit. Therefore a contextmodeling approach should be capable with this possibility. e-ISSN : 0975-4024 K.S.Sagaya Priya et al. / International Journal of Engineering and Technology (IJET) p-ISSN : 2319-8613 Vol 8 No 1 Feb-Mar 2016 429