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DigitalPebble
has co-designed and implemented the full-text search functionalities of
Lingway
KM, which uses Lucene
as a default implementation. and illustrates both its versatility and
performance.
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Implementation of a search
functionality based on Lucene
and compliant with the OpenSearch
standard.
Design and development of Text Classification web
service. It is used to identify junk posts from a collection of forum
pages indexed with Lucene.
This improves the relevance of the search engine results, as these
documents tend to rank high due to the repetition of keywords (e.g.
product names). The format of the messages used by the service is based
on Solr.
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Consulting
on GATE for Named Entity Recognition;
improvement of the accuracy of the ANNIE
application. |
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iLexIR
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Port
of the RASP
application to Apache
UIMA. More details can be found on the Resources section.
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Design of an avanced architecture for a search solution based on Nutch / Lucene. Work on a performance benchmark and optimisation of the results.
Work on Term Extraction and Clustering, Text Classification, Ontology Learning and custom Information Extraction.
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Strategy review and integration design for mobile content based search engines.
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Design and implementation of a search solution based on SOLR.
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