Abstract: Provided are systems and methods for referencing intent-based taxonomies to enable more natural approaches for users to specify problems to be solved, questions to be answered, and other content requests that can be delivered within online communities. In the medical setting, physicians and medical personnel are accustomed to provide medical information and ask questions of other physicians in the form of a narrative which can be organized around medical cases. Intuitive user interfaces are provided that facilitate definition of intent during case generation and case searching. Linking UI displays and narrative data structures associated with intent information can enable definition and navigation of intent-based models of the cases. Intent-based models can reflect standardize concepts (e.g., medical diagnoses and medical concept ontologies) facilitating their navigation based on intent.

Abstract: Provided are systems and methods for referencing intent-based taxonomies to enable more natural approaches for users to specify problems to be solved, questions to be answered, and other content requests that can be delivered within online communities. In the medical setting, physicians and medical personnel are accustomed to provide medical information and ask questions of other physicians in the form of a narrative which can be organized around medical cases. Intuitive user interfaces are provided that facilitate definition of intent during case generation and case searching. Linking UI displays and narrative data structures associated with intent information can enable definition and navigation of intent-based models of the cases. Intent-based models can reflect standardize concepts (e.g., medical diagnoses and medical concept ontologies) facilitating their navigation based on intent.

Abstract: Provided are systems and methods for referencing intent-based taxonomies to enable more natural approaches for users to specify problems to be solved, questions to be answered, and other content requests that can be delivered within online communities. Further embodiments include an active recruitment approach to ensure answers and interactions occur on a given case and/or question. The recruitment approach can be integrated with known or existing online communities to facilitate information exchange and generation. The recruitment approach can be configured to tap resources within an online community but also reach outside of the community to additional resources. Further, intent-based models of cases can be used across even language barriers to recruit across the largest knowledge base possible. Internationally accepted concepts can be used in conjunction with case definition/modeling and resulting case models can be translated through various languages.

Abstract: Provided are systems and methods for referencing intent-based taxonomies to enable more natural approaches for users to specify problems to be solved, questions to be answered, and other content requests that can be delivered within online communities. In the medical setting, physicians and medical personnel are accustomed to provide medical information and ask questions of other physicians in the form of a narrative. Narrative medical information can be easy for a physician to define but difficult to process in an online community. The inability to classify such narratives can significantly affect the ability of the physician to obtain answers to his/her question and/or search for material in the community based on his/her question. Narrative statements can be analyzed automatically and standardized concepts returned from medical taxonomies to classify a narrative question. Standardized concepts can also be used to search and/or review material relevant to the question defined within a community.