Simple Search

Extensive search options can be overwhelming at times. Simple Search offers a search box where you can enter keywords to find relevant content in FileNet® P8 repositories and quickly trim the results with metadata-driven search filters.

To start your search, enter your search keywords into the search box. Your last five queries are saved and you can view them by clicking the search box or pressing the down-arrow key while focus is on the search box. You can select one of the displayed queries or enter a new query to search with.

Depending on the repository’s search capabilities, Content Navigator does a full-text search on indexed documents in a Content-Based Retrieval (CBR) enabled repository, or search for documents whose name (Document Title) start with your specified keyword if CBR is not enabled. When you search in a CBR-enabled repository, you can take advantage of the query syntax of the underlying search engine. For example, to find documents that contain “dog” but not “cat” use the query "dog NOT cat". (For more information, see Examples of text search syntax.) The results are initially sorted by rank (relevance) in descending order for full-text searches and by name in ascending order.

To access faceted search filters, click Show filters. You can filter by Class, Modified By, Modified On, Added By, Added On, File Type, and Size. File Type filter options are driven by Content Navigator’s configurable file types, which allow customers to add options that reflect the type of documents they work with. The administrator defines the file type filters in the General tab in Settings. The File type filters define the filter options.

When you update or delete documents in the search results, the filters are scanned. The modified documents are assessed for not matching the filter options that they did when the search was first run. If any document gets out of sync with the filters, you are notified, and given the option to reset the filters. You can continue to use the stale filters until they are reset or a new search is run. Any filters, which were selected at the time the filters became out of sync, are not reapplied to avoid interrupting your work. For example, you can continue changing the filtered documents even if they no longer match the filter criteria.

When a string property filters the search, the 20 values with the most occurrences are displayed in the filters pane for the string property. An Others filter option is available for values over 20 that are found in the results. Only the filters that apply to the results are displayed in the filters pane. The string properties are displayed as columns in the Details view.

For PDF documents that can be searched in an IBM Daeja® ViewONE Virtual viewer, the search keywords that are found in the document are highlighted.
Note: When you search for a phrase in the PDF file, each word in that phrase is searched. However, in the Daeja Virtual viewer, the entire phrase is used in the search. For example, if you searched for "agreement with", Simple Search returns instances of "agreement" and of "with". In the Daeja Virtual viewer, the PDF contains highlighted matches for the full phrase, "agreement with".
Administrator functions.
  • You can update the repository configuration to set the maximum number of results that is returned by the query. In the repository configuration Search tab, set the Number of Simple Search results. Also, you can set a timeout to limit long-running queries.
  • You can update the repository configuration to hide string properties that users are not to view through the Searchable Properties section from the Search tab. Users can filter search results by any string property that you do not hide. Also, in the Search Results section, you can select Thumbnails, Comments, Likes, Downloads, and Tags to display for the magazine view in the Simple Search results.

Examples of text search syntax

Word stems
A full-text search returns results for a word search term and for the stem of the word. For example, a search for the word tests or testing also returns results for test. This behavior applies only to terms with one or more lowercase letters: to prevent a word stem search, use all capitals for the term such as in TESTS.
Terms

A term is a single word such as giraffe.

An example is lion tiger. The search includes documents that must contain both the term lion and the term tiger anywhere in the document.

Phrases

A phrase is a group of words that are contained in quotation marks, such as "computer software". Phrases are searched in the same order.

An example is "computer glasses". The search includes documents that must contain the phrase, computer glasses, anywhere in the document.

AND operator

A Boolean operator that includes all the terms.

An example is lion AND tiger. The search includes documents that contain both the term, lion, and the term, tiger, anywhere in the document. This search is the same as using lion tiger.

Or operator

A Boolean operator that includes either one term or the other.

An example is lion OR tiger. The search includes documents that contain either the term, lion, or the term, tiger.

Grouping

Use parenthesis to group multiple terms or clauses to form subqueries.

An example is (hungry OR thirsty) AND bear AND NOT red. The search includes documents that contain the terms hungry or thirsty, must contain the term bear, and must not contain the term red.

Wildcards

Wildcard characters are "*" and "?". You can place wildcard characters before, within, or after a term. Use an asterisk (*) to do a multiple character wildcard search. Use a question mark (?) to do a single character wildcard search.

An example is dog*. The search includes documents that contain the terms that start with 'dog' like dogs, doggy, and doggone.

The phrase "dog* ca?t" groups a search of terms that contain variations of terms that start with dog and must contain terms like cant. capt, cart, and cast.

Preferred operators
The Boolean operator, +, means that the term must be present. The Boolean operator, -, means that the term must not be present. All other terms are optional.
Examples
  • The terms, hungry thirsty +bear -red, searches for documents that must contain bear, must not contain red. The terms hungry and thirsty are optional. However, if they are present, the relevance is increased.
  • The terms, lion -tiger, searches for documents that contain lion and must not contain tiger.
  • The terms and phrase, lion -"tiger bear", means that documents are searched for the term lion and must not contain the phrase tiger bear.
  • The phrases, "red apple" NOT "ripe quince", finds documents with the phrase red apple and must not contain the phrase ripe quince.

    You can use NOT, instead of using -.

Proximity

A phrase query, like "john smith", expects all of the terms in the same order. In comparison, a proximity query finds documents that contain terms within a specified number of words of each other. With a proximity search, you can specify a maximum distance of words in a phrase:

"apple banana"~5

The query searches for documents that contains the words apple and banana within five words of each other.