The document summarizes a tutorial on integrating natural language processing (NLP) with linked data and the Resource Description Framework (RDF) using the NLP Interchange Format (NIF). It introduces NIF and provides examples of using NLP wrappers and tools like Snowball Stemmer, OpenNLP, and Twinkle to annotate text, query annotated data, and query the Brown Corpus using SPARQL. The goal is to help attendees learn hands-on how to represent NLP objects and relations in RDF using the NIF format.

1. Integrating NLP with Linked Data and RDF:
the NIF format (hands on)
Ciro Baron Neto
Ph.D student at University of Leipzig
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Overview
• Github NLP2RDF web page overview
and NIF Online demos (Dashboard,
Combinator...)
• Examples
–Example 1: How to annotate string
• using Snowball Steamer and OpenNLP
–Example 2:
• Query generated NIF data and Querying Brown
Corpus

3. NLP2RDF GitHub Website
• https://github.com/NLP2RDF/
• /home/ciro/websites/github/github.com/NLP2RDF/index.html
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4. dashboard.nlp2rdf.aksw.org
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nlp2rdf.aksw.org

6. Example 1: Snowball Stemmer
Wrapper
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7. Snowball Stemmer Wrapper
• Stemming algorithm is a process
for removing suffixes from words.
–CONNECT
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• CONNECTED
• CONNECTION
• CONNECTING
• CONNECTIONS

8. Snowball Stemmer Wrapper
• 1. Open the USB stick folder
• 2. Go to “NIF_tutorial_hands_on_jars” folder
• 3. Open the “instructions.txt” file in a text
editor
• 4. Open a terminal
• 5. Go to the “jar” folder
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9. Snowball Stemmer Wrapper
• Copy the second command of the
instructions.txt
“java -jar snowball.jar -f text -i 'My
favorite actress is Natalie Portman.'“
• -f is used to define the format
• -i is used to define the input
• Paste in the terminal
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10. Snowball Stemmer Wrapper
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11. Snowball Stemmer Wrapper
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12. Snowball Stemmer Wrapper
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NIF Standard Annotations
NIF Offset

13. Snowball Stemmer Wrapper
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NIF Standard Annotations
Snowball Stem
NIF Offset

14. OpenNLP Wrapper
• Back to the terminal and use the first command
of the instructions.txt
java -jar opennlp.jar -f text -i 'My favorite actress is
Natalie Portman.' -modelFolder ../model/
• The -modelFolder parameter set the folder that
contains the POS tagging OpenNLP trained
models and tokenization.
• You might add the parameter “--outfile
myAnnotatedFile.ttl“ to store the triples in a file.
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15. Example 2: Query Brown Corpus
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16. Querying with Twinkle
• Open the “/twinkle/example” folder
• Open the NIF_query_example file
in a text editor and copy the query
• Open the “/twinle” folder and run
the command:
java -jar twinkle.jar
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17. Querying Brown Corpus
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18. Querying Brown Corpus
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19. Querying Brown Corpus
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20. Querying Brown Corpus
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21. Querying Brown Corpus
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22. Querying Brown Corpus
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23. Querying Brown Corpus
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24. Querying Brown Corpus
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25. Querying Brown Corpus
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26. Querying Brown Corpus
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27. Exercise 3: Querying your own NIF
annotated string
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28. Querying your own NIF annotated
string
1. Annotate your string using one of the
wrappers
2. Save your annotated sentence to a file
(using “--outfile”)
3. Open Twinkle
4. Query your string using Twinkle
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29. • Query your annotated string:
– nif:Context
– nif:Sentence
– nif:anchorOf
– nif:oliaCategory
– nif:oliaLink
… or practice with Brown Corpus!
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30. Thank you!
http://site.nlp2rdf.org/
NLP2RDF Google+ Community
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