Submitting a query from the Dashboard

Submit a query to find relevant information in the knowledge bases that are available to Goldfire, which can include the following:

  • Accuris Content
  • Articles
  • Patents
  • Corporate
  • My Data

The query area of the Dashboard includes the following fields, options, and commands:

Select Where to Search - enables you to select what knowledge bases to search. You can select one or more knowledge base categories. You can select the My Data knowledge base, which is your own customized view of items you curated from prior searches, and items that other Goldfire users shared with you.

My Subscriptions - enables you to refine your search to Accuris sources that are a part of your subscription. If you are logged into Goldfire and you are also logged into an Engineering Workbench account, you can select this check box when conducting a query to refine the search results to Accuris sources that are part of your subscriptions. When the My Subscriptions check box is selected, Accuris sources related to your query that are not part of your subscriptions are not displayed.

Query text box, where you type natural language queries.

Advanced. Enables you to enter a more complex query.

You should always use the Advanced Search feature to search by metadata such as title, author, publication date, or publication number. Results will be more reliable than they would be if you included such metadata information as keywords in the main query box.

begins the search after you type your query and select the sources that you want to search.

Language (if the Language Pack is installed), where you select a language for your query.

The Russian semantic engine is partially supported by Goldfire and is limited in scope. A limited set of corporate categories for Russian is available to users. Russian is not a language that can be translated into and from other Goldfire supported languages.

Cognitive Search

Goldfire provides users with a set of cognitive search features that enhance and better support your search experience. Content must be indexed (or reindexed if already indexed) for the following cognitive search features to take effect:

  • Boolean-Free Searching - enables users to search all metadata associated with documents without Boolean operands. This means that users do not need to type <and> and <in> operands in their searches. Examples of fields to which you might apply Boolean-free searching are: file name, file extension, and other high-importance fields. Users simply type keywords and Goldfire returns relevant matches.

    The exception to Boolean-free searching is queries related to dates, which requires the use of Boolean operands.
  • Wildcard Searching - enables users to replace characters in the words of their query with an asterisk (*). You can use the wildcard mode of searching to search for metadata associated with the documents. Examples of fields to which you might apply wildcard searching are: file name, folder, document type, etc.

    Wildcard searching does not apply to searching for content within the document body. However, a number of  filter categories exist to address this, and enable you to search for metadata from within document body that is extracted by natural language processing technology.
  • Improved PDF Searching - Goldfire detects and  categorizes the content of a PDF document into logical fields (Table, Figure, etc.), which enables users perform more effective queries by using these fields as advanced filters in the query.

Exact Search

Goldfire enables you to  target your query to an exact term or phrase when you contain the contents of your search within quotation marks. This search capability allows you to conduct queries with precision. Documents with content in the document title and/or in the document body that exactly matches your query are returned in the results list. Furthermore, this search capability is enabled for all the languages that are supported by Goldfire.  If you want take full advantage of the exact search functionality as you search for relevant documents in your existing corporate and personal knowledge bases, then it is necessary to re-index all of these corporate and personal knowledge bases.

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