Filtering with semantically correlated terms
When you search for a term, semantically correlated words and phrases are determined. You can use these words and phrases to quickly narrow down or extend the hit list. The proposed words and phrases are calculated dynamically. They are either displayed as a list or as a word cloud.
Semantic search as a list or as a word cloud
Semantic search as a list or as a word cloud
Using semantic search
Open the semantic search filter with the arrow icon.
Click on the words and phrases that you want to include.
In the search field, you see the resulting search term:
Using semantic search
Finding by chance with serendipity
With the serendipity search, you find documents with terms that were not in the focus earlier but may have strong correlation to the original search term.
The following example shows the Serendipity option.
Search for a term, for example Tennis.
With a regular search, the system finds all documents that contain the term.
Open the semantic search filter with the arrow icon.
Click on Serendipity
.
The serendipity search results are displayed on a new tab. The query is constructed using boolean OR combinations of all serendipity terms. The originally entered search term is not included in the query in order to extend the original search scope.
Example: The system searches for all correlating term without the term Tennis and finds for example ATP, André Agassi, Boris Becker, Steffi Graf, Wimbledon, Davis Cup, Weltrangliste.
Displaying similar documents
Also, for a single document, you can find additional hits based on important terms and phrases. A document is considered similar if it contains at least one of the top terms. The number of similar documents can therefore be very large.
Open the menu for the document.
Click on Similar documents.
The similar documents are displayed on a new tab. On this tab, hit list options are not available.