Abstract: The technology disclosed provides an interactive GUI driven by natural language questions and intuitive controls that support follow-up queries. One features a table-graph that links responsive series of data to graph elements. Individual rows of data in the table can be selected or deselected for display. The rows can be displayed in a single graph for individual graphs. Averages and other statistical measures can be calculated and graphed responsive to selectable controls, without formulas for series calculations. Another feature is so-called Liveboards that include multiple natural language questions and data views produced from executing queries derived from the questions, adapted to data available to a particular user, especially when the user's organization is different from an origin organization that generated the Liveboard.

Abstract: The technology disclosed provides an interactive GUI driven by natural language questions and intuitive controls that support follow-up queries. One features a table-graph that links responsive series of data to graph elements. Individual rows of data in the table can be selected or deselected for display. The rows can be displayed in a single graph for individual graphs. Averages and other statistical measures can be calculated and graphed responsive to selectable controls, without formulas for series calculations. Another feature is so-called Liveboards that include multiple natural language questions and data views produced from executing queries derived from the questions, adapted to data available to a particular user, especially when the user's organization is different from an origin organization that generated the Liveboard.

Abstract: The usefulness of a search engine depends on the relevance of the result set it returns. Search problems in a particular domain require an understanding of the user's intent that traditional search methods lack, including a sense of time, domain and situational context, user preferences and the history of previous searches in the domain of interest. In an age in which speaking to technology is becoming the norm and user expectations are skyrocketing, semantic search is more important than ever. The disclosed technology describes systems and methods for implementing natural language search with semantic mapping and classification. The technology further discloses systems and methods for including social search, making it possible for users to include input from friends in search results. The disclosed technology offers a customizable flexible technology designed to be taught about a domain and to be able to systematically adapt to its unique needs.

Abstract: The usefulness of a search engine depends on the relevance of the result set it returns. Search problems in a particular domain require an understanding of the user's intent that traditional search methods lack, including a sense of time, domain and situational context, user preferences and the history of previous searches in the domain of interest. In an age in which speaking to technology is becoming the norm and user expectations are skyrocketing, semantic search is more important than ever. The disclosed technology describes systems and methods for implementing natural language search with semantic mapping and classification. The technology further discloses systems and methods for including social search, making it possible for users to include input from friends in search results. The disclosed technology offers a customizable flexible technology designed to be taught about a domain and to be able to systematically adapt to its unique needs.

Abstract: The usefulness of a search engine depends, among other things, on ease of use in ad hoc queries. This is particularly challenging in security and operations domains. One thing that makes it challenging is late binding schemas that encourage revision of schemas on the fly. The technology disclosed has been applied in security and operations domains, with late binding schemas, to translate domain specific natural language queries into executable search queries.

Abstract: The technology disclosed relates to identification of future activity options. In particular, it relates to identifying future activity options that are similar to a selected future activity, similar to past activities, that meet descriptive language criteria, that form compatible sequences of activities, or that form compatible multi-day sequences of activities. The technology disclosed also relates to rapid and convenient sorting through activity options.

Abstract: The technology disclosed relates to identification of future activity options. In particular, it relates to identifying future activity options that are similar to a selected future activity, similar to past activities, that meet descriptive language criteria, that form compatible sequences of activities, or that form compatible multi-day sequences of activities. The technology disclosed also relates to rapid and convenient sorting through activity options.

Abstract: The technology disclosed relates to identification of future activity options. In particular, it relates to identifying future activity options that are similar to a selected future activity, similar to past activities, that meet descriptive language criteria, that form compatible sequences of activities, or that form compatible multi-day sequences of activities. The technology disclosed also relates to rapid and convenient sorting through activity options.

Abstract: The usefulness of a search engine depends on the relevance of the result set it returns. Search problems in a particular domain require an understanding of the user's intent that traditional search methods lack, including a sense of time, domain and situational context, user preferences and the history of previous searches in the domain of interest. In an age in which speaking to technology is becoming the norm and user expectations are skyrocketing, semantic search is more important than ever. The disclosed technology describes systems and methods for implementing natural language search with semantic mapping and classification. The technology further discloses systems and methods for including social search, making it possible for users to include input from friends in search results. The disclosed technology offers a customizable flexible technology designed to be taught about a domain and to be able to systematically adapt to its unique needs.

Abstract: The technology disclosed relates to identification of future activity options. In particular, it relates to identifying future activity options that are similar to a selected future activity, similar to past activities, that meet descriptive language criteria, that form compatible sequences of activities, or that form compatible multi-day sequences of activities. The technology disclosed also relates to rapid and convenient sorting through activity options.