Stardog string similarity functions

[Zachary Whitley]

I'm happy to announce the 1.0.0 release of a set string similarity functions for Stardog. Supported metrics include Cosine, Damerau, Jaccard, JaroWinkler, Levenshtein, longest common sub-sequence, metric longest common sub-sequence, N-Gram, normalized Levenshtein, Q-Gram, Sorensen-Dice, weighted Levenshtein, and Soundex. To install place the available jar file into $STARDOG_HOME/server/dbms and restart Stardog. Please let me know if you find these to be useful, if you would like support for additional algorithms or are interested in functions other than string distance metrics.

[Kendall Clark]

URL?

On Fri, Apr 22, 2016 at 9:51 PM Zachary Whitley <zachary...@gmail.com> wrote:

I'm happy to announce the 1.0.0 release of a set string similarity functions for Stardog. Supported metrics include Cosine, Damerau, Jaccard, JaroWinkler, Levenshtein, longest common sub-sequence, metric longest common sub-sequence, N-Gram, normalized Levenshtein, Q-Gram, Sorensen-Dice, weighted Levenshtein, and Soundex. To install place the available jar file into $STARDOG_HOME/server/dbms and restart Stardog. Please let me know if you find these to be useful, if you would like support for additional algorithms or are interested in functions other than string distance metrics.

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[Zachary Whitley]

And the obligatory URL that I forgot. 

https://github.com/semantalytics/stardog-udf-string-similarity

Mental note. Never write your announcements from your phone right before you go to bed. Doh!

On Apr 22, 2016, at 9:51 PM, Zachary Whitley <zachary...@gmail.com> wrote:

I'm happy to announce the 1.0.0 release of a set string similarity functions for Stardog. Supported metrics include Cosine, Damerau, Jaccard, JaroWinkler, Levenshtein, longest common sub-sequence, metric longest common sub-sequence, N-Gram, normalized Levenshtein, Q-Gram, Sorensen-Dice, weighted Levenshtein, and Soundex. To install place the available jar file into $STARDOG_HOME/server/dbms and restart Stardog. Please let me know if you find these to be useful, if you would like support for additional algorithms or are interested in functions other than string distance metrics.

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