Abstract: A data object can be represented based on multiple “tags” (e.g., multiple signatures provided as a cluster of signatures based on multiple tags of a data model). Essentially, the representation of the data object need not necessarily reflect the entire data object but it can provide a useful indication (or a signal) (e.g., “s40={computer vision, image analysis, tracking, detection, 3d}”), In addition, a data representation provided (e.g., signature or cluster of signatures) can represent multiple data objects. However, a data object can be represented by multiple tags (e.g., signatures) as well. Also, multiple tags can be used to collectively represent a data object. The tags can provide information in an organized and logically structured manner. For example, a cluster signature can be provided with strings of one or more words (e.g., keywords) concatenated with logical operators (e.g., AND, OR, NOT).

Abstract: A data object can be represented based on multiple “tags” (e.g., multiple signatures provided as a cluster of signatures based on multiple tags of a data model). Essentially, the representation of the data object need not necessarily reflect the entire data object but it can provide a useful indication (or a signal) (e.g., “s40={computer vision, image analysis, tracking, detection, 3d}”), In addition, a data representation provided (e.g., signature or cluster of signatures) can represent multiple data objects. However, a data object can be represented by multiple tags (e.g., signatures) as well. Also, multiple tags can be used to collectively represent a data object. The tags can provide information in an organized and logically structured manner. For example, a cluster signature can be provided with strings of one or more words (e.g., keywords) concatenated with logical operators (e.g., AND, OR, NOT).