1. A method for identifying a sensor, from a plurality of sensors, to be deployed in a physical environment, the method comprising: storing sensor data and metadata of the plurality of sensors in a data store, wherein the sensor data is captured by the plurality of sensors, and wherein the metadata belongs to the plurality of sensors; deriving sensor information from at least one of the sensor data and the metadata, wherein the sensor information comprises at least one of thematic information, temporal information, and spatial information; creating sensor ontology to define a relationship between the sensor data, the metadata, and the sensor information, wherein the sensor ontology is stored in the data store; receiving and decomposing one or more search queries into at least one of a basic query component and an inferred query component, wherein the basic query component is associated to the sensor data, and wherein the inferred query component is associated to the sensor information; identifying a subset of sensor data and a subset of sensor information, wherein the subset of sensor data and the subset of sensor information are matching with the at least one of the basic query component and the inferred query component; ranking the one or more search queries based upon frequency of receipt of the one or more search queries on a knowledge repository, wherein the one or more search queries are further ranked based on the identified subset of sensor data and the subset of sensor information, and wherein the sensor information is matching with the one or more search queries received on the knowledge repository; and executing at least one of the basic query component and the inferred query component on the data store in order to identify the sensor, and wherein the storing, the deriving, the creating, the receiving and decomposing, and the executing are performed by the processor using a set of instructions stored in a memory.
1. A method for identifying a sensor, from a plurality of sensors, to be deployed in a physical environment, the method comprising: storing sensor data and metadata of the plurality of sensors in a data store, wherein the sensor data is captured by the plurality of sensors, and wherein the metadata belongs to the plurality of sensors; deriving sensor information from at least one of the sensor data and the metadata, wherein the sensor information comprises at least one of thematic information, temporal information, and spatial information; creating sensor ontology to define a relationship between the sensor data, the metadata, and the sensor information, wherein the sensor ontology is stored in the data store; receiving and decomposing one or more search queries into at least one of a basic query component and an inferred query component, wherein the basic query component is associated to the sensor data, and wherein the inferred query component is associated to the sensor information; identifying a subset of sensor data and a subset of sensor information, wherein the subset of sensor data and the subset of sensor information are matching with the at least one of the basic query component and the inferred query component; ranking the one or more search queries based upon frequency of receipt of the one or more search queries on a knowledge repository, wherein the one or more search queries are further ranked based on the identified subset of sensor data and the subset of sensor information, and wherein the sensor information is matching with the one or more search queries received on the knowledge repository; and executing at least one of the basic query component and the inferred query component on the data store in order to identify the sensor, and wherein the storing, the deriving, the creating, the receiving and decomposing, and the executing are performed by the processor using a set of instructions stored in a memory. 2. The method of claim 1 , wherein the metadata comprises at least one of a measurable range, a feature, communication capability, a model name, a model number, and a manufacturer detail.