A system and approach for deriving data for a constrained environment of a controller such as, for example, an embedded device. The controller may incorporate a processor and a memory connected to the processor. The memory may have a constrained capacity. The memory may contain an extensible set of rules for deriving additional semantic information from available information at the embedded device. The processor and the memory with the extensible set of rules may constitute a semantic rule engine. The semantic rule engine may apply the extensible set of rules to the available information to derive the additional semantic information.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A mechanism for deriving data for a constrained environment, comprising: an embedded device comprising: a processor; and a memory connected to the processor; and wherein: the memory has a constrained capacity; the memory contains an extensible set of rules for deriving additional semantic information from available information at the embedded device; the processor and the memory with the extensible set of rules comprise a semantic rule engine; and the semantic rule engine applies the extensible set of rules to the available information to derive the additional semantic information. 2. The mechanism of claim 1, wherein: the memory is between X percent of 100 percent full to Y percent of 100 percent full when holding the available information selected from a group comprising an object database with objects having respective information incorporating tags, attributes and relationships, the extensible set of rules, an operating system, identifications, configurations, and a data programming interface for accessing the information in a useable format; X and Y are numbers; and X=<Y. 3. The mechanism of claim 2, wherein the semantic rule engine applies the extensible set of rules to the available information to derive the additional semantic information that can reduce available room of the memory from 100 percent full minus X percent, to 100 percent full minus Y percent. 4. The mechanism of claim 1, wherein the extensible set of rules is based on one or more characteristics selected from a group comprising name matching, containment, tags, attributes, and relationships. 5. The mechanism of claim 1, wherein the semantic rule engine can define new rules with new behaviors. 6. The mechanism of claim 5, wherein the new rules are used by the semantic rule engine to derive more additional semantic information. 7. The mechanism of claim 6, wherein the more additional semantic information is storable in the memory as long as the available room in the memory is less than 100 percent full. 8. The mechanism of claim 1, wherein an application programming interface, and search and hierarchy definition tools can access additional tags and relationships from information of a data model developed by the semantic rule engine. 9. A method for deriving a semantic data model within a constrained environment, comprising: connecting a microprocessor to a memory to form an embedded device; and wherein: the memory has a limited capacity for information; the memory contains an extensible set of rules for deriving semantic information from a certain amount information in the memory; and the extensible set of rules is applied to the certain amount of information in the memory of the device to derive additional semantic information from the certain amount of information. 10. The method of claim 9, wherein the processor and memory with the extensible set of rules constitutes a semantic rule engine. 11. The method of claim 10, wherein the semantic rule engine permits new rules with defined behaviors to be added to the set of extensible rules. 12. The method of claim 11, wherein the rules are used to derive tags, attributes and relationships. 13. The method of claim 10, further comprising accessing additional tags and relationships from information of a data model developed by the semantic rule engine, with an application programming interface, and search and hierarchy definition tools. 14. The method of claim 9, wherein the extensible set of rules is based on one or more characteristics selected from a group comprising name matching, containment, attributes, and relationships. 15. The method of claim 9, wherein one or more rules of the extensible set of rules can be selected from a group comprising adding a tag or relationship based on pattern matching on an object name, adding a tag or relationship based on other tags defined directly on the object, and adding a tag or relationship based on a set of tags defined for virtually all objects in a collection. 16. A system for developing additional information from existing information within a constrained environment, comprising: an embedded device comprising: a processor; and a memory having a constrained capacity for a certain amount of semantic information; and wherein: the memory contains an extensible set of rules for deriving semantic information from the certain amount of information; and the extensible set of rules is applied by a semantic rule engine to the certain amount of information in the memory of the device to derive additional semantic information from the certain amount of information. 17. The system of claim 16, wherein the semantic rule engine comprises components of the processor. 18. The system of claim 17, wherein the semantic rule engine uses the extensible set of rules to derive tags, attributes and relationships. 19. The system of claim 18, wherein the semantic rule engine can derive additional rules having new behaviors. 20. The system of claim 16, wherein components of the processor and portions of the memory comprise an application programming interface, and search and hierarchy definition tools that can derive additional tags and relationships from information of a data model developed by the semantic rule engine. 21. The system of claim 16, wherein one or more rules of the extensible set of rules can be selected from a group comprising adding a tag or relationship based on pattern matching on an object name, adding a tag or relationship based on other tags defined directly on the object, and adding a tag or relationship based on a set of tags defined for virtually all objects in a collection. 22. The system of claim 16, wherein the extensible set of rules is based on one or more characteristics selected from a group comprising name matching, containment, attributes, and relationships.