Methods and apparatus consistent with the invention provide the ability to organize and build understandings of machine data generated by a variety of information-processing environments. Machine data is a product of information-processing systems (e.g., activity logs, configuration files, messages, database records) and represents the evidence of particular events that have taken place and been recorded in raw data format. In one embodiment, machine data is turned into a machine data web by organizing machine data into events and then linking events together.

Methods and apparatus consistent with the invention provide the ability to organize and build understandings of machine data generated by a variety of information-processing environments. Machine data is a product of information-processing systems (e.g., activity logs, configuration files, messages, database records) and represents the evidence of particular events that have taken place and been recorded in raw data format. In one embodiment, machine data is turned into a machine data web by organizing machine data into events and then linking events together.

Methods and apparatus consistent with the invention provide the ability to organize and build understandings of machine data generated by a variety of information-processing environments. Machine data is a product of information-processing systems (e.g., activity logs, configuration files, messages, database records) and represents the evidence of particular events that have taken place and been recorded in raw data format. In one embodiment, machine data is turned into a machine data web by organizing machine data into events and then linking events together.

A query engine for an unstructured database satisfies window based queries and analytics by defining a window of documents, and performing analytics on the window using a default value for omitted field. A tabular index containing only values needed for analytics and document ordering defines each window. The tabular index includes all fields from each document that are required to satisfy the query, retrieved on a single pass by the query engine so that multiple fetches to the same document are avoided. Since each document in the window need not contain all the same fields as the other documents, an adapter includes logic for defining a default or placeholder value for a field called for in an analytic computation but nonexistent in a particular document. By retrieving only the computationally relevant fields, and by performing the retrieval only once on each document, the I/O overhead is greatly reduced.

The present disclosure discloses a method and an apparatus for generating a vector representation of a knowledge graph, and relates to a field of a field of artificial intelligence technologies. The detailed implementing solution is: obtaining a knowledge graph, the knowledge graph including a plurality of entity nodes; obtaining a context type and context data corresponding to the knowledge graph; and generating vector representations corresponding to the plurality of entity nodes by a context model based on the context data and the context type.

Methods, systems, and apparatus for determining that a native application limits access to the native application using account credential requirements, the native application generating an application environment for display on a user device within the native application and operating independent of a browser application that can operate on the user device; obtaining a set of account credentials for indexing environment instances of the native application; instantiating the native application with the set of account credentials; and accessing environment instances of the native application, and for each of the environment instances: generating environment instance data describing content of the environment instance, the content described by the environment instance data including text that a user device displays on the environment instance when the user device displays the environment instance; and indexing the environment instance data for the native application in an index that is searchable by a search engine.

Provided are systems and methods for managing storage of machine data. In one embodiment, a method can be provided. The method can include receiving, from one or more data sources, raw machine data; processing the raw machine data to generate processed machine data; storing the processed machine data in a data store; and determining an allocated data size associated with the processed machine data stored in the data store, wherein the allocated data size is the size of the raw machine data corresponding to the processed machine data stored in the data store.

Systems and processes for operating an intelligent automated assistant are provided. For example, an intelligent automated assistant obtains a static vocabulary entry for an application and registers the static vocabulary entry to a knowledge base. While the application is running, the intelligent automated assistant receives a request from the application to register a dynamic vocabulary entry, and also registers the dynamic vocabulary entry. Upon receiving a user input, the intelligent automated assistant determines whether a matching vocabulary entry for the application has been registered and causes the application to perform a task based on the matching vocabulary entry.

Content of different formats may be sourced from various data sources such as content servers and ingested into a data integration server by an ingestion broker embodied on a non-transitory computer readable medium. The ingestion broker may normalize the content of different formats into a uniform representation that can be indexed and delivered across multiple digital channels for a variety of applications. The normalized content may be analyzed and semantic metadata may be determined from the normalized content. The normalized content can be semantically enriched by associating the semantic metadata and the like with the content. The semantic metadata can be stored in a semantic index that can be used for searching via the data integration server. During search, the semantic metadata can be instantiated as facets for user navigation and refinement of search criteria and additional semantic relationships can be assigned to the words in the normalized content.

Methods and apparatus consistent with the invention provide the ability to organize and build understandings of machine data generated by a variety of information-processing environments. Machine data is a product of information-processing systems (e.g., activity logs, configuration files, messages, database records) and represents the evidence of particular events that have taken place and been recorded in raw data format. In one embodiment, machine data is turned into a machine data web by organizing machine data into events and then linking events together.