Abstract: Methods and systems to model and acquire data from a variety of data and information sources, to integrate the data into a structured database, and to manage the continuing reintegration of updated data from those sources over time. For any given domain, a variety of individual information and data sources that contain information relevant to the schema can be identified. Data elements associated with a schema may be identified in a training source, such as by user tagging. A formal grammar may be induced appropriate to the schema and layout of the training source. A Hidden Markov Model (HMM) corresponding to the grammar may learn where in the sources the elements can be found. The system can automatically mutate its schema into a grammar matching the structure of the source documents. By following an inverse transformation sequence, data that is parsed by the mutated grammar can be fit back into the original grammar structure, matching the original data schema defined through domain modeling.

Abstract: Methods and systems to model and acquire data from a variety of data and information sources, to integrate the data into a structured database, and to manage the continuing reintegration of updated data from those sources over time. For any given domain, a variety of individual information and data sources that contain information relevant to the schema can be identified. Data elements associated with a schema may be identified in a training source, such as by user tagging. A formal grammar may be induced appropriate to the schema and layout of the training source. A Hidden Markov Model (HMM) corresponding to the grammar may learn where in the sources the elements can be found. The system can automatically mutate its schema into a grammar matching the structure of the source documents. By following an inverse transformation sequence, data that is parsed by the mutated grammar can be fit back into the original grammar structure, matching the original data schema defined through domain modeling.

Abstract: Sulfur resistant sensors and a process analytic system employing such sensors are provided. The sensors generally include a treatment or material that is adapted to increase the resistance of certain portions of the sensors to exposure to sulfur. In one aspect, an improved sulfur-resistant process analytic system includes a probe with one or more sulfur-resistant sensors therein coupled to a controller, a thermal control module, and a source of blowback gas.

Abstract: Sulfur resistant sensors and a process analytic system employing such sensors are provided. The sensors generally include a treatment or material that is adapted to increase the resistance of certain portions of the sensors to exposure to sulfur. In one aspect, an improved sulfur-resistant process analytic system includes a probe with one or more sulfur-resistant sensors therein coupled to a controller, a thermal control module, and a source of blowback gas.