Abstract: Crawlers crawl disparate sources of information and build a graph that identifies relationships between entities. The graph can be manually updated by users. Where two or more users attempt to make competing updates to the same information in the graph, a prevailing update is identified based upon the user's proximity to the entity being changed.

Abstract: A pair of records is tokenized to form a normalized representation of an entity represented by each record. The tokens are correlated to a machine learning system by determining whether a learned resolution already exists for the two entities. If not, the normalized records are compared to generate a comparison measure to determine whether the records match. The normalized records can also be used to perform a web search and web search results can be normalized and used as additional records for matching. When a match is found, the records are updated to indicate that they match, and the match is provided to the machine learning system to update the learned resolutions.

Abstract: A computer-implemented method of updating a system of customized software is provided. The method includes receiving an update request and collecting contextual information relative to the system of customized software. A query is generated for updates applicable to the system of customized software based on the contextual information. A query response is received indicative of at least one applicable update. A selection relative to the at least one applicable update is received. At least one update is selectively applied based on the selection.

Abstract: A set of lifecycle services are employed to identify tasks and other worklist items. The worklist items are aggregated into a unified worklist that is synchronized to a product management system so the status of the worklist items can be traced throughout a project lifecycle.

Abstract: A method and system for converting source tables of a database of the application to target tables of a new version of the database while reducing the amount of time that the database needs to be open in single-user access mode is provided. A conversion system divides the conversion into a multi-user phase and a single-user phase. During the multi-user phase, the conversion system can perform most of the conversions while the database is opened in multi-user access mode. The conversion system stores the converted data in auxiliary tables, rather than updating the source tables. During the single-user phase, the conversion system performs the remaining conversions and copies data from the source tables and the converted data from the auxiliary tables to the target tables.

Abstract: A method and system for converting source tables of a database of the application to target tables of a new version of the database while reducing the amount of time that the database needs to be open in single-user access mode is provided. A conversion system divides the conversion into a multi-user phase and a single-user phase. During the multi-user phase, the conversion system can perform most of the conversions while the database is opened in multi-user access mode. The conversion system stores the converted data in auxiliary tables, rather than updating the source tables. During the single-user phase, the conversion system performs the remaining conversions and copies data from the source tables and the converted data from the auxiliary tables to the target tables.