This invention relates generally to classification systems. More particularly this invention relates to a system, method, and computer program to dynamically generate a domain of information synthesized by a classification system or semantic network. The invention discloses a method, system, and computer program providing a means by which an information store comprised of knowledge representations, such as a web site comprised of a plurality of web pages or a database comprised of a plurality of data instances, may be optimally organized and accessed based on relational links between ideas defined by one or more thoughts identified by an agent and one or more ideas embodied by the data instances. Such means is hereinafter referred to as a “thought network”.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer implemented method for generating a semantic network characterized in that it comprises the steps of: (a) providing an information domain; (b) representing the information domain as a data set, the data set being defined by data entities and one or more relationships between the data entities; (c) providing, by means of an agent, data representing one or more thoughts; and (d) synthesizing, or facilitating the synthesizing, by one or more computer processors, a semantic network based on one or more interactions between the data entities and the one or more thoughts. 2. The computer implemented method of claim 1, characterized in that it comprises the further step of enabling one or more of: (a) interactions between the data entities and the one or more thoughts; and (b) interactions between the agent and the data entities based on the one or more thoughts, by one or more synthesis operations. 3. The computer implemented method of claim 1, characterized in that it comprises the further step of integrating the one or more thoughts with the data entities. 4. The computer implemented method of claim 1, characterized in that it comprises the further step of providing the agent with means to traverse the semantic network by selecting data entities related to the one or more thoughts. 5. The computer implemented method of claim 1, characterized in that it comprises the further step of synthesizing the semantic network dynamically upon the agent providing the data representing the one or more thoughts. 6. The computer implemented method of claim 4, characterized in that it comprises the further step of storing one or more aspects of learning derived from the semantic network to a storage means. 7. The computer implemented method of claim 6, characterized in that it comprises the further step of basing the learning on selecting the data entities related to the one or more thoughts. 8. The computer implemented method of claim 6, characterized in that it comprises the further step of storing the one or more aspects of learning, thereby facilitating dynamic generation of one or more other semantic networks. 9. The computer implemented method of claim 6, characterized in that the concepts of the semantic network are stored to the storage means. 10. The computer implemented method of claim 9, characterized in that it comprises the further step of storing relationships between the concepts to the storage means. 11. The computer implemented method of claim 1, characterized in that it comprises the further step of generating the semantic network to include label-to-concept translation. 12. The computer implemented method of claim 11, characterized in that it comprises the further step of defining a label representing a string, and generating from the label a representation of a concept. 13. The computer implemented method of claim 12, characterized in that it comprises one or more of the further steps of: (a) defining the label by the agent; or (b) obtaining the label from another knowledge representation. 14-20. (canceled) 21. A computer system for generating a semantic network characterized in that it comprises: (a) one or more computers configured to provide, or provide access to, an information domain, wherein a data set is operable to represent the information domain, the data set being defined by data entities and one or more relationships between the data entities, and wherein an agent is operable to provide data representing one or more thoughts; and (b) a thought processor operable to synthesize, or facilitate the synthesis of, by one or more computer processors, a semantic network based on one or more interactions between the data entities and the one or more thoughts. 22. The computer system of claim 21, characterized in that the thought processor is operable to synthesize the semantic network dynamically upon the agent providing the data representing the one or more thoughts to facilitate new mappings. 23. The computer system of claim 22, characterized in that the new mappings provide one or more of the following: basic lookup functions; attribute hierarchy; or concept matching. 24-26. (canceled) 27. A computer implemented method for synthesizing media utilizing a semantic network characterized in that it comprises the steps of: (a) generating, or facilitating the generation of by one or more computer processors, a thought network based on one or more interactions between one or more data entities and one or more thoughts; and (b) transforming the thought network so as to generate and provide one or more forms of synthesized media to a consumer. 27. The computer implemented method of claim 26 characterized in that it comprises the further step of providing client-directed synthesized media based on a consumer-directed interaction whereby the consumer performs one of the following steps: (a) providing input to direct the generation of the synthesized media; or (b) selecting synthesized media from the one or more forms provided. 28. The computer implemented method of claim 26 characterized in that the synthesized media is web-integrable media. 29. The computer implemented method of claim 26 characterized in that it comprises the further step of storing the synthesized media as a content inventory.