Curiosity-adaptive ambient semantic intelligence systems and methods provide an ontology-driven graph database comprising machine-processable semantic representations of intellectual resources in the form of Curiosity Attracting Pointers (CAPs). The system also utilizes formal semantics that enable the system to automatically add new CAPs through reasoners. The users score their CAP entries based on various parameters. Curiosity traits are derived through the analysis of selectivity patterns of the users. User-scoring and curiosity value of resources are used by a calculation module to assign an overall Curiosity Satisfaction Value, which enables the personalization of output graphs generated by the system for a given user.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A curiosity-adaptive ambient semantic intelligence system comprising a processor communicatively coupled to a memory device, the system comprising: a data receiving module that receives user input, the user input including at least one user selected field of interest and at least one curiosity trait; a graph database comprising machine-processable semantic representations of components of a scientific ontology, wherein the components of the scientific ontology comprise one or more fields of interest, including the user selected field of interest, and one or more Curiosity Attracting Pointers (CAPs), each CAP being associated with at least one field of interest; a rule-based semantic reasoner that automatically identifies one or more potentially relevant CAPs within the graph database and associates the one or more potentially relevant CAPs with the user selected field of interest in the graph database; a curiosity satisfaction value calculating module that analyzes the at least one curiosity trait and assigns a personalized curiosity satisfaction value to each of the CAPs associated with the user selected field of interest in the graph database; and a personalized output generation module that generates a personalized output graph comprising a subset of CAPs from the graph database associated with the user selected field of interest, each CAP in the subset being selected by the personalized output generation module based on its assigned personalized curiosity satisfaction value. 2. The system of claim 1, wherein the components of the scientific ontology comprise further comprise one or more components selected from the group consisting of: relationships between CAPs (CAP-Rs), Curiosity Dynamics Metatags (CDMs), Supplementary Digital Links (SDLs), and Resource Identity Metatags (RIMs). 3. A method of operating an ambient semantic intelligence system comprising a processor communicatively coupled to a memory device, the method comprising steps of: receiving user input to a data receiving module of the system, the user input including at least one user selected field of interest and at least one curiosity trait; storing in a graph database of the system machine-processable semantic representations of components of a scientific ontology, wherein the components of the scientific ontology comprise one or more fields of interest, including the user selected field of interest, and one or more Curiosity Attracting Pointers (CAPs), each CAP being associated with at least one field of interest; automatically identifying using a semantic rule based reasoner one or more potentially relevant CAPs within the graph database and associating the one or more potentially relevant CAPs with the user selected field of interest in the graph database; analyzing the at least one curiosity trait using a curiosity satisfaction value calculation module and assigning a personalized curiosity satisfaction value to each of the CAPs associated with the user selected field of interest in the graph database; and generating a personalized output graph using a personalized output generation module of the system, the personalized output graph comprising a subset of CAPs from the graph database associated with the user selected field of interest, each CAP in the subset being selected by the personalized output generation module based on its assigned curiosity satisfaction value. 4. An article of manufacture comprising a non-transitory computer readable storage medium having computer readable instructions tangibly embodied thereon which, when executed by a processor of an ambient semantic intelligence system comprising the processor communicatively coupled to a memory device, cause a computer to carry out a plurality of method steps comprising: receiving user input to a data receiving module of the system, the user input including at least one user selected field of interest and at least one curiosity trait; storing in a graph database of the system machine-processable semantic representations of components of a scientific ontology, wherein the components of the scientific ontology comprise one or more fields of interest, including the user selected field of interest, and one or more Curiosity Attracting Pointers (CAPs), each CAP being associated with at least one field of interest; automatically identifying using a semantic rule based reasoner one or more potentially relevant CAPs within the graph database and associating the one or more potentially relevant CAPs with the user selected field of interest in the graph database; analyzing the at least one curiosity trait using a curiosity satisfaction value calculation module and assigning a personalized curiosity satisfaction value to each of the CAPs associated with the user selected field of interest in the graph database; and generating a personalized output graph using a personalized output generation module of the system, the personalized output graph comprising a subset of CAPs from the graph database associated with the user selected field of interest, each CAP in the subset being selected by the personalized output generation module based on its assigned curiosity satisfaction value.