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Narrowing Down Search Results
You can narrow down search results, by changing the selection in the drop-down box to the left of the search field. The following options are available:
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filters can be created by clicking on the according entry.
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The facet “persons” presents current employees of the office, as well as members of the committees and councils.
The search does not differentiate between languages. The complete content of www.dfg.de is being searched, regardless of the language version. If you would like to narrow down your search to a specific language, you can do so using the filter option „language“.
If you are uncertain about the spelling or would like to search only for certain parts of a word, so called wildcards can help. The character „?“ thereby replaces one character, while „*“ can be used as a substitute for several characters.
For example: Entering „ma?er“ would find „Maier“ or „Mayer“; „m*er“ would produce results for „Meier“, „Mayer“ and „Maier“
Using quotation marks ("…") in your search term, allows you to find exact sentences or phrases. The phrase „application assessment“ will therefore find all entries with this exact order of words.
Searching with Logical Operators
Boolean operator OR
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Boolean operator AND
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Please note, that the operator „AND“ always has to be written in capitals.
For example: „news AND reports“ finds all results containing „news“ as well as „reports“.
Boolean operator NOT
Search terms can be excluded by using NOT. The results will therefore only include entries that contain the first but not the second keyword.
Please note, that the operator „NOT“ always has to be written in capitals.
For example: „news NOT reports“ finds all results containing „news“ but not „reports“.
Your Selected Filters:2017 Scientific Library Services and Information Systems Research Funding pdf
Ausschreibung: Skalierbare Verfahren der Text- und Strukturerkennung für die Volltextdigitalisierung historischer DruckeState: 5. March 2017 | German | pdf documentAusschreibung: Skalierbare Verfahren der Text- und Strukturerkennung für die Volltextdigitalisierung historischer Drucke