# applicationCategory[].skos:definition.@value
the process of identifying the grammatical type of words in a text (Wikidata contributors, "Q1271424," Wikidata, https://www.wikidata.org/w/index.php?title=Q1271424&oldid=1167811400 (accessed July 30, 2020).

# applicationCategory[].skos:definition.@value
the act of labelling a piece of data or content wth a short string to express some metadata (Wikidata contributors, "Q43401994," Wikidata, https://www.wikidata.org/w/index.php?title=Q43401994&oldid=1198888121 (accessed September 4, 2020)

# applicationCategory[].skos:note.@value
segmenting refers to a management process or method of dividing something into smaller homogeneous parts/units to gain better understanding about an object or topic. Segmentation can range from demographic, geographical, ethical, behavioral, visual, linguistic, musical to other areas and can be multi-dimensional.

# applicationCategory[].skos:note.@value
annotating  refers to the activity of making information about a digital object explicit by adding notes, metadata, keywords, tags or links to a digitized representation or to an annotation file associated with it. This can be in the form of explanatory annotations that comments or contextualize a passage, annotations that make structural or linguistic information explicit, as linked open data making the relationships between objects machine-readable, or in the case of general metadata, adding information about the object as a whole.

# applicationCategory[].skos:definition.@value
extraction of named entity mentions in unstructured text into pre-defined categories (Wikidata contributors, "Q403574," Wikidata, https://www.wikidata.org/w/index.php?title=Q403574&oldid=1232404694 (accessed July 30, 2020).

# applicationCategory[].skos:note.@value
contextualizing  refers to  creating associations between an object of investigation and other, more established or better-understood objects in a relation of geographical, temporal, or thematic proximity to the object of investigation, with the aim of ascribing meaning to that object.

# applicationCategory[].skos:prefLabel[].@value
Контекстуализовање

# author[].affiliation.name
KNAW Humanities Cluster & CLST, Radboud University

# contributor[].affiliation.name
KNAW Humanities Cluster & CLST, Radboud University

# description
Frog is a suite containing a tokeniser, Part-of-Speech tagger, lemmatiser, morphological analyser, shallow parser, and dependency parser for Dutch. This is the webservice for it, for both humans and machines.

# developmentStatus[].skos:definition
The project has reached a stable, usable state and is being actively developed.

# developmentStatus[].skos:definition
Technology complete and qualified, released for all end-users in scholarly environments.

# keywords
clam webservice rest nlp computational_linguistics rest

# maintainer.affiliation.name
KNAW Humanities Cluster & CLST, Radboud University

# review.name
Automatic software metadata validation report for Frog-Webservice 2.7

# review.reviewBody
Please consult the CLARIAH Software Metadata Requirements at https://github.com/CLARIAH/clariah-plus/blob/main/requirements/software-metadata-requirements.md for an in-depth explanation of any found problems

Validation of Frog-Webservice 2.7 was successful (score=3/5), but there are some warnings which should be addressed:

1. Warning: Software source code *SHOULD* link to a continuous integration service that builds the software and runs the software's tests (This is missing in the metadata)
2. Warning: Documentation *SHOULD* be expressed (This is missing in the metadata)
3. Info: Reference publications *SHOULD* be expressed, if any (This is missing in the metadata)

# targetProduct.author[].name
Ko van der Sloot, Antal van den Bosch, Maarten van Gompel, Bertjan Busser

# targetProduct.description
Frog is a suite containing a tokeniser, Part-of-Speech tagger, lemmatiser, morphological analyser, shallow parser, and dependency parser for Dutch.

# targetProduct.provider.name
Centre for Language and Speech Technology, Radboud University and KNAW Humanities Cluster