Abstract: A system and method for document transformation and compliance is provided. A set of documents for a transfer of real property is accessed by a user. Each document includes one or more data fields each associated with a data field identifier. A data value is received from the user. One of the data fields in one of the documents is identified as associated with the received data value via the data field identifier for that data field. The associated data field is determined to be already populated with a different data value. The different data value is replaced with the received data value. Other data fields associated with a same data field identifier as the data field identifier of the associated data field are identified. The other data fields are populated with the received data value. Compliance checking of the documents is performed.

Abstract: A multi-tier blockchain-based method for document transformation and accountability is provided. A set of transaction documents for transfer of real property is received. At least a portion of the transaction documents is processed by providing the transaction documents to a tier of supernodes and selecting one of the supernodes. The transaction documents are added via the selected supernode to a blockchain maintained by each supernode. An immutable record of the transaction documents is transmitted from the selected supernode to a different tier of network nodes. One of the network nodes is identified to commit the immutable record of the transaction documents to a blockchain of the different tier. The immutable record of the transaction documents is committed to copies of the blockchain stored by the other network nodes.

Abstract: A system and method for document transformation is provided. An address is received. A document set is generated based on the address. Each document includes data fields and an identifier for each data field. A transaction number is assigned to the document set. Data values are received for population of the data fields in one of the documents. The data values and the identifier for the data field in which each data value is populated is stored with the transaction number. The remaining documents are populated. One of the identifiers is identified for one of the data fields in one of the remaining documents. One of the data fields is determined in one of the remaining documents. The data value associated with the data field is identified based on the identifier and the transaction number. The data fields in the remaining documents are populated with the determined data value.

Abstract: A single-tier blockchain-based method for document transformation and accountability is provided. Document templates relating to a transfer of real property are maintained. Each template includes a plurality of form elements each associated with a data field identifier. A subset of the document templates are collected as transaction documents for a transaction regarding the transfer of real property. The form elements of the transaction documents are populated with received data values via the data field identifiers of the form elements. Compliance checking is performed on the populated data values of the transaction documents. A cryptographic hash of the transaction documents is provided to a single tier of network nodes. The cryptographic hash of the transaction documents is committed to a blockchain copy stored by one or more of the network nodes in the single tier and the transaction documents are stored.

Abstract: A system and method for document transformation and compliance are provided. Document templates are maintained and each template includes data fields each associated with a data field identifier. Data values are received in one or more of the data fields of at least one document template. The data values are associated with the data fields into which the data values are received via the data field identifiers for those data fields. A property address is received and a set of compliance rules is identified. A subset of the document templates are retrieved as active documents for a transaction of the property based on the identified rules. The active documents are populated with those data fields that are associated with the linked data values via the data field identifiers. Compliance checking of the populated data values in the active documents is performed using a compliance rule set.

Abstract: A method for listing document transformation and recordation is provided. Documents relating to a real estate listing are identified and each document includes data fields associated with data field identifiers. A data value is received from a user in at least one of the data fields. A data model includes the data values received from the user and the data field identifiers of the data fields for which the data values are received is generated. The data fields associated with data field identifiers that match the data field identifiers of the data fields in which the data values are received are identified and populated with the data values. One or more correctness rules to be applied to the populated data fields of the documents are identified and applied to the documents by verifying that the data values populating the data fields are verified by one or more authoritative sources.

Abstract: A single-tier blockchain-based method for document transformation and accountability via different node types is provided. Document templates relating to a transfer of real property are maintained. Each template includes form elements each associated with a data field identifier. A subset of the document templates are collected as transaction documents for a transaction of a real property transfer. The form elements of the transaction documents are populated with received data values via the data field identifiers of the form elements. Compliance checking is performed on the populated data values of the transaction documents. A cryptographic hash of the transaction documents is provided to a network of nodes, which includes nodes that store different types of data related to the transaction documents. The cryptographic hash of the transaction documents is committed to a blockchain stored by one or more of the nodes in the network.

Abstract: A system and method for motivating parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

Abstract: A system and method for visualizing parking enforcement officer movement in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

Abstract: A system and method for managing coverage of parking enforcement for a neighborhood with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

Abstract: A method for listing document transformation and recordation is provided. Listing documents are selected from a library for a property listing. Data values are received via at least one of the listing documents. Relevant data fields within at least one listing document is updated with the received data values. Disclosure information regarding the property is received and further listing documents are added to the listing documents based on the disclosure information to form an active document set. Listing compliance rules are applied to the set of active documents to determine compliance. The active documents are recorded as a data block and provided to a tier of supernodes. The data block is added to a ledger of transactions via one of the supernodes. A copy of the data block is stored on each supernode. An immutable record of the data block is committed to a further tier of nodes.

Abstract: A system and method for selection and explanation of solutions is provided. A hierarchy of aggregation factors is maintained for evaluating at least a partial solution. Competing solutions are generated and each solution includes at least a partial solution. Scores are calculated for each of the aggregation factors for each competing solution. A total evaluation score is calculated for each competing solution based on the scores for at least one of the aggregation factors. The competing solution with the best evaluation score is selected and a gist is generated. The gist is a narrative comparing the selected solution with the non-selected solutions based on the at least one aggregation factor. The gist is provided to a user as a rationale for selection of the solution.

Abstract: A system and method for facilitating parking enforcement officer performance in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

Abstract: A system and method for monitoring parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

Abstract: A system and method for providing conditional autonomous messaging to parking enforcement officers with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

Abstract: A system and method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

Abstract: A system and method for coordinating parking enforcement officer patrol in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and ongoing activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

Abstract: A system and method for providing distributed on-street valet parking with the aid of a digital computer is provided. Parking spaces for valet services are reserved. One of the reserved parking spaces is designated as a valet drop-off parking space. A motor vehicle is detected in the valet drop-off parking space and a notification that the motor vehicle requires parking is provided to a valet of the detected motor vehicle. A search is conducted for the reserved parking spaces available for valet services for the motor vehicle. At least one of the reserved parking spaces available for the motor vehicle is identified and the motor vehicle is parked in the identified reserved parking space.

Abstract: Techniques are described that provide a reading pane for reading one or more content portions of a work and a guide pane that displays a structured overview of additional information from the corpus that is focused by an analysis of information from the currently-visible content portion of the work. The contents of the currently-visible content portion displayed within the reading page are used to derive dynamic representations of the user's immediate interests. At the user's request, a structured persistent context-aware guide is computed and displayed. The persistent context-aware guide provides a framework for accessing other parts of the corpus having the most-related information. The elements in the persistent context-aware guide are other content portions or other organizations such as sections, chapters, or articles in the corpus. The persistent context-aware guide may also incorporate additional closely-related information elements from outside the corpus including advertisements.

Abstract: A computer-implemented system and method for planning recurring events is provided. Event objects for events are stored in a database. A trigger notifying the beginning of an event is received and an event object representing the event is generated in response to the trigger. An event class is associated with a set of parameters and is assigned to the event object. A set of activity data is created for the event object and each activity data includes structured and unstructured data describing an event activity occurred during the event. At least one event object is retrieved from the database as a model and the parameter values of the model event object are displayed. At least one of the parameter values of the model event object is modified and the modification is reflected against other parameter values of the model event object that are dependent on the modified parameter value.