EN:Text search

Text Search Block

Using the Text search block, extensive full text searches can be created.
2 options are generally available:
Full text search or Semantic search

By choosing betweenTitle, Abstract, Claim, Description you can determine, which part of the text is searched.

Sobald innerhalb einer Suche nach Text gesucht wird, wird das Ergebnis nach einem Volltext-Ranking sortiert.
Somit sollen möglichst die relevanten Treffer in der Ergebnisliste oben stehen und die uninteressanten Treffer unten angezeigt werden.
Dabei werden die Suchbegriffe in den Texten gezählt. Außerdem findet eine Gewichtung der Suchbegriffe statt. Ist der Suchbegriff im Titel erfährt dieser eine höhere Gewichtung als wenn der Suchbegriff nur in der Beschreibung auftritt.

Semantische Suche

Die semantische Suche funktioniert nur mit englischen Texten.
Je allgemeiner der angegebene Text formuliert ist, desto ungenauer sind die Ergebnisse der semantischen Suche.

Es empfiehlt sich deshalb z.B. nur den wichtigsten bzw. interessantesten Anspruch in die semantische Suche zu kopieren. (z.B. der erste Anspruch)

Die semantische Suche empfiehlt sich als Werkzeug um ähnliche Patente zu finden.
Die Treffermenge einer semantischen Suche kann anschließend z.B. über den Filter weiter bearbeitet werden.

Truncation

The following truncation options are available:

• * - none to any number of characters
• % - none to 1 character
• ? - exactly 1 character

Example

?otogra?ie

finds (among others):
fotografie

does not find (among others):
photographie

?%otogra?%ie

finds (among others):
photographie, fotografie, fotographie, photografie

Boolean Operators

The following 3 operators are available for linking search terms:

AND

OR

NOT

Using the AND, OR operators and brackets, synonyms can be combined.

Example

(fahrrad* or bike) and (batter%% or akku*)

If you do not place any operators between two search terms, the terms will be automatically linked with AND.

Example

fuel cell

corresponds to:
fuel and cell

Boost

The Boost feature enables you to influence the full text ranking in a result list.
Individual terms can be boosted, influencing the sorting of the result list.

Example

fuel and cell

The term "fuel" has a greater importance to the user than the term "cell" and should be weighted higher.

fuel^2.5 and cell

The value of the term "fuel" is multiplied by 2,5.

Fuzzy

The Fuzzy-search is based on the Damerau-Levenshtein-Distanz Algorithm. It will find terms which are similar to the entered search term.

Optionally, the distance (number of allowed changes) can be specified after the fuzzy operator. A change could be the addition, deletion or replacement of a single character.

If no distance is stated, the distance is automatically selected corresponding to the length of the term:

• Less than 3 characters: Terms must match.
• 3 to (including) 5 characters: One change allowed.
• 6 or more characters: Two changes allowed.

Example

electronic~
(max. 2 changes, term contains more than 6 characters)
finds (among others):
electronic
elektronik

also finds:
electron

Enter number of changes manually

kraftstoffluss~1
(max. one change)
finds (among others):
kraftstoffluss
kraftstofffluss

The Fuzzy operator is not combinable with the truncation and can only be applied to one term.

Phrase

If terms are put in quotation marks, terms are searched in this exact sequence.

Example

"fuel cell"

corresponds to:
span(fuel cell, 0)

This way it is also possible to search for keywords like operators.

Example

"Menschen in Not"

The quotation marks can be used to search for numbers:
Example

"420"

You can also search for a “-character as follows:

"fuel\""
searches for:
fuel"

Wildcards

If 2 terms are linked with “–“ these terms will be searched in this particular order.

Example

fuel-cell

searches for:
span (fuel cell, 0)

Kommentare

Es ist möglich in der Textsuche Kommentare hinzuzufügen.
Kommentare werden bei der Textsuche nicht berücksichtigt und dienen nur als Information für den Benutzer.

Beispiel

Proximity Operators

span

Terms are searched using the maximum distance between words.
Here, the order of the words is taken into consideration.

Example

span (fuel cell, 2)

The text must contain the word fuel followed by the word cell.Up to 2 other terms can appear between the two words.

near

Terms are searched using the maximum distance between words.
Here, the order of the words is not taken into consideration.

Example

near (fuel cell, 2)

The text must contain the words fuel and cell.Up to 2 other terms can appear between the two words.

general

Within the span and near proximity operators, multiple terms can be combined with "OR" and brackets.

Example

near ((electric or elektrisch) (generator or Stromerzeuger or stromgenerator), 3)

The maximum word distance for near and span refers to all specified terms or synonyms.

Example

span (rotary wing thrust, 4)

In total a maximum of 4 terms may occur between the 3 searched terms.

Therefore this patent for example will be found:

If the search is made with a word distance 2, the patent will not be found anymore.

Transfer highlighting synonym groups to the text search

All terms of a synonym group (Highlighting) can be added to a full text search.
Collected synonyms can be re-used for the search.

When a term is entered in the text field, the keyboard shortcut Ctrl + Space will show the synonym groups which contain the term.

All groups from all highlighting schemes are considered.

The desired group can then be selected using the arrow keys. By clicking the Enter or Tab key, the synonyms are automatically transferred to the search.

Regular expressions "Regexp"

It is possible to use regular expressions in the search.

Example

SPAN (/<20-30>/ zoll (monitor or screen),2) 

searches for numbers between 20 to 30

Basis of the text search

By using the following options, the basis of the text search can be set.
Document, Application, Strict family or Extended family

Depending on the selected option it can be determined which texts are searched for the terms.

Example

fuel and cell

selected texts: Title 

Document – both terms have to appear in the title of the document
Application – one term can appear in the title of the A-document and the other term can appear in the corresponding B-document
Strict Family – one term appears in the title of a document from one country, the other term appears in the title of a different country. Both documents belong to the same strict family
Extended Family – same as strict family, however, both documents must belong to the same extended family

The higher the basis of the text search is selected, the higher the number of results will be.
Document (fewer results) → Extended family (more results)

Basis of the text search and the selected basis of the search

In this search, the term “fuel and cell” is searched in the text on the basis “Document”.
The terms have to appear in one document.

Below, the basis “Strict family“ is selected.

This means that all search blocks are enriched to the strict family.
This way, for example, “fuel cell” can appear in a US document and in the same strict family a DE document. Then this strict family is found by the search.

If the setting is changed from “Strict family“ to “Document“, then “fuel cell“ must appear in one DE document.