A building management system (BMS) includes memory devices having instructions stored thereon that, when executed by processors, cause the processors to perform operations including obtaining for each of a plurality of respective BMS objects respective semantic information for each of the plurality of the respective BMS objects, the respective semantic information being stored on the each of the respective BMS objects, identifying a plurality of predetermined classifications that pertain to the plurality of the respective BMS objects using the respective semantic information, classifying the plurality of BMS objects using the plurality of predetermined classifications, updating a semantic site model associated with the building site by including the respective semantic information associated with the plurality of the respective BMS objects and adjusting a plurality of parameters associated with the respective BMS objects using the semantic site model.

A building management system (BMS) includes memory devices having instructions stored thereon that, when executed by processors, cause the processors to perform operations including obtaining for each of a plurality of respective BMS objects respective semantic information for each of the plurality of the respective BMS objects, the respective semantic information being stored on the each of the respective BMS objects, identifying a plurality of predetermined classifications that pertain to the plurality of the respective BMS objects using the respective semantic information, classifying the plurality of BMS objects using the plurality of predetermined classifications, updating a semantic site model associated with the building site by including the respective semantic information associated with the plurality of the respective BMS objects and adjusting a plurality of parameters associated with the respective BMS objects using the semantic site model.

The subject disclosure relates to filtering stream chat messages. In some aspects, a process of the disclosed technology can include operations for receiving messages from a plurality of user accounts, detecting a section trigger indicating one or more filtering attributes, and filtering messages based on the filtering attribute. In some aspects, the process can further include operations for creating a section, adding one or more users to it and generating a section level, where the section level and messages associated with it are displayed to the added users. Systems and machine-readable media are also provided.

The subject disclosure relates to filtering stream chat messages. In some aspects, a process of the disclosed technology can include operations for receiving messages from a plurality of user accounts, detecting a section trigger indicating one or more filtering attributes, and filtering messages based on the filtering attribute. In some aspects, the process can further include operations for creating a section, adding one or more users to it and generating a section level, where the section level and messages associated with it are displayed to the added users. Systems and machine-readable media are also provided.

Mechanisms for identifying a pattern of computing resource activity of interest, in activity data characterizing activities of computer system elements, are provided. A temporal graph of the activity data is generated and a filter is applied to the temporal graph to generate one or more first vector representations, each characterizing nodes and edges within a moving window defined by the filter. The filter is applied to a pattern graph representing a pattern of entities and events indicative of the pattern of interest, to generate a second vector representation. The second vector representation is compared to the one or more first vector representations to identify one or more nearby vectors, and one or more corresponding subgraph instances are output to an intelligence console computing system as inexact matches of the temporal graph.

Mechanisms for identifying a pattern of computing resource activity of interest, in activity data characterizing activities of computer system elements, are provided. A temporal graph of the activity data is generated and a filter is applied to the temporal graph to generate one or more first vector representations, each characterizing nodes and edges within a moving window defined by the filter. The filter is applied to a pattern graph representing a pattern of entities and events indicative of the pattern of interest, to generate a second vector representation. The second vector representation is compared to the one or more first vector representations to identify one or more nearby vectors, and one or more corresponding subgraph instances are output to an intelligence console computing system as inexact matches of the temporal graph.

Techniques for natural language searches are described. In an example, a computer system receives a search associated with a computing device. Based on the search, the computer system determines first search results from a first data source and associated with a first type and second search results from a second data source and associated with a type. The computer system also determines a context associated with at least one of the computing device or a user. Based on the context, the computer system generates instructions associated with a presentation of the first search results and the second search results at a user interface of the computing device. The instructions indicate a first presentation order of the first search results and the second search results and a second presentation order of search results within the first search results. The computer system sends the instructions to the computing device.

Access control lookups may be implemented that support user-configurable and host-configurable processing stages. A request may be received and evaluated to determine whether bypass of user-configured access request processing stages should be bypassed. A lookup may be determined for user-configured access controlled decisions, and the access control decisions can be applied, if not bypassed. A lookup may be determined for a host-configured access control decisions and the access control decisions applied.

Access control lookups may be implemented that support user-configurable and host-configurable processing stages. A request may be received and evaluated to determine whether bypass of user-configured access request processing stages should be bypassed. A lookup may be determined for user-configured access controlled decisions, and the access control decisions can be applied, if not bypassed. A lookup may be determined for a host-configured access control decisions and the access control decisions applied.

A system for embedding users' preferences and behaviors based on interactions with an array of devices.