A computer-implemented method comprising: in a batch processing mode: receiving, by a computer, observation data of a plurality of wireless signals observed by a plurality of observer devices; training, by the computer, a first inductive classifier to generate a first set of deductive rules for syntactic matches between service set identifiers of the plurality of wireless signals and entities associated with the service set identifiers; training, by the computer, a second inductive classifier to generate a second set of deductive rules based on spatial proximity and temporal persistence of the plurality of wireless signals, wherein the second inductive classifier is trained to assign an atom, being a constant that defines some intrinsic property of the signal within a given observation, to a given wireless signal based on a network graph of the given wireless signal; in a real-time deduction mode: receiving, by the computer, information of an unresolved wireless signal; generating, by the computer, a semantic resolution of the wireless signal based upon applying at least one of the first and second set of deductive rules; and displaying, by the computer, the semantic resolution of the wireless signal on a graphical user interface. in a batch processing mode: receiving, by a computer, observation data of a plurality of wireless signals observed by a plurality of observer devices; training, by the computer, a first inductive classifier to generate a first set of deductive rules for syntactic matches between service set identifiers of the plurality of wireless signals and entities associated with the service set identifiers; training, by the computer, a second inductive classifier to generate a second set of deductive rules based on spatial proximity and temporal persistence of the plurality of wireless signals, wherein the second inductive classifier is trained to assign an atom, being a constant that defines some intrinsic property of the signal within a given observation, to a given wireless signal based on a network graph of the given wireless signal; receiving, by a computer, observation data of a plurality of wireless signals observed by a plurality of observer devices; training, by the computer, a first inductive classifier to generate a first set of deductive rules for syntactic matches between service set identifiers of the plurality of wireless signals and entities associated with the service set identifiers; training, by the computer, a second inductive classifier to generate a second set of deductive rules based on spatial proximity and temporal persistence of the plurality of wireless signals, wherein the second inductive classifier is trained to assign an atom, being a constant that defines some intrinsic property of the signal within a given observation, to a given wireless signal based on a network graph of the given wireless signal; in a real-time deduction mode: receiving, by the computer, information of an unresolved wireless signal; generating, by the computer, a semantic resolution of the wireless signal based upon applying at least one of the first and second set of deductive rules; and displaying, by the computer, the semantic resolution of the wireless signal on a graphical user interface. receiving, by the computer, information of an unresolved wireless signal; generating, by the computer, a semantic resolution of the wireless signal based upon applying at least one of the first and second set of deductive rules; and displaying, by the computer, the semantic resolution of the wireless signal on a graphical user interface.