A method for generating hypotheses in a corpus of data comprises selecting a form of ontology; coding the corpus of data based on the form of the ontology; generating ontology space based on coding results and the ontology; transforming the ontology space into a hypothesis space by grouping hypotheses; weighing hypotheses included in the hypothesis space; and applying a science-based sorting algorithm configured to model a science-based treatment of the weighted hypotheses.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for generating hypotheses in a corpus of data, comprising: selecting a form of at least one ontology vector; coding the corpus of data based on the ontology vector; generating an ontology space based on coding results and the ontology vector; transforming the ontology space into a hypothesis space by grouping the hypotheses; weighing the hypotheses included in the hypothesis space; and applying physics-based sorting algorithm configured to model a physic-based treatment of the weighted hypotheses. 2. The method of claim 1, wherein the physics-based sorting algorithm comprises a random-walk algorithm. 3. The method of claim 2, wherein the random-walk process represents a simulated annealing process. 4. The method of claim 1, wherein the ontology space and the hypothesis space are generated by a computer. 5. The method of claim 1, wherein the hypothesis surface includes troughs whose depth indicates relevancy of a hypothesis neighborhood. 6. The method of claim 1, further comprising presenting a color map associated with the hypothesis space whose color brightness indicates relevancy of a hypothesis neighborhood. 7. The method of claim 1, further comprising identifying a global minima as a relevant hypothesis. 8. The method of claim 2, wherein the random-walk process is applied repeatedly with an increased hop distance each time.