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Annotation and tagging

Why collaborative tagging and collaborative annotations?

If a name and no of its aliases or a word and no of its synonyms is not contained in the document, that doesn't mean, that the document is not important for this topic.

If you tag a document with a tag (f.e. a name of a person, organization, location or a concept or word), this document will be found on further queries with this word(s) even if this word(s) is/are not contained in the document.

Find and filter tagged documents faster by faceted search

Additionally, tags will be used for exploratory search like like aggregated overviews and interactive filters for navigation, too, so you get an overview and you can find and filter tagged documents faster and with more comfort.

Your research team or users will find yet analysed and tagged documents despite codes, euphemism and lies

If a name and no of its aliases or a word and no of its synonyms is not contained in the document, it doesn't mean, that the document is not important for the topic. For example corrupt companies or politicians wont write the word corruption into their documents, even if the document is a evidence of corruption.

If you tag a document with a tag (f.e. a name of a person, organization, location or a concept or word), this document will be found on further queries with this word(s) even if this word(s) is/are not contained in the document.

Connect knowledge

Maybe you search for a connection of two special topics, for example for racism in an organization.

Your search would find anything.

Maybe a specialist tags a document with the tag racism because he knows, that a special code is for racism.

Maybe another specialist has an idea about members of the organization and tags the document with the organization.

Now you will find the document if you search for that organization and the topic, even if the specialists added their knowledge for only one topic without deeper knowledge about the other one.

Human knowledge better than artificial intelligence, OCR and automatic ranking algorithms

So you and your team can add words, interpretations, qualitative values or structure that can not be analysed automatically because there is no enrichment plugin for that issue or its automatic analysis is not good enough.

How to tag or annotate a document?

  • Just click "Tagging and annotation" for this document in the search results to annotate this document.
  • Add tags (f.e. concepts, persons, organizations or locations) or write some free text into the notes field.
  • Save the annotation. This will trigger to index the document again, so some seconds later this document is findable and filterable in the tagged context(s), too.

Automated tagging and automated annotation

Such manually tagging is for documents that doesnt contain the tag (or another word or query or aliases) within the content, so that a human has to classify it to this additional context(s).

If you want to tag documents i.e. with Tags like organizations, persons, locations or aliases that are in the text, you should add this tag or name to the Thesaurus or Named Entities Manager which will tag all documents containing the name, concept or query automatically and for new documents, too.

Alternate annotation tools for semantic annotations

You can integrate enhanced annotation tools for semantic annotations, which can not only tag whole documents but even parts of them: