Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/32466
Título: | Bringing named entity recognition on Drupal content management system |
Autor(es): | Fernandes, José Lourenço, Anália |
Palavras-chave: | Drupal Text mining Named entity recognition Apache Lucene Apache Solr Apache UIMA |
Data: | 2014 |
Editora: | Springer |
Revista: | Advances in intelligent systems and computing |
Resumo(s): | Content management systems and frameworks (CMS/F) play a key role in Web development. They support common Web operations and provide for a number of optional modules to implement customized functionalities. Given the increasing demand for text mining (TM) applications, it seems logical that CMS/F extend their offer of TM modules. In this regard, this work contributes to Drupal CMS/F with modules that support customized named entity recognition and enable the construction of domain-specific document search engines. Implementation relies on well-recognized Apache Information Retrieval and TM initiatives, namely Apache Lucene, Apache Solr and Apache Unstructured Information Management Architecture (UIMA). As proof of concept, we present here the development of a Drupal CMS/F that retrieves biomedical articles and performs automatic recognition of organism names to enable further organism-driven document screening. |
Tipo: | Artigo em ata de conferência |
Descrição: | Publicado em "8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014)" |
URI: | https://hdl.handle.net/1822/32466 |
ISBN: | 9783319075808 |
DOI: | 10.1007/978-3-319-07581-5_31 |
ISSN: | 2194-5357 |
e-ISSN: | 2194-5365 |
Versão da editora: | http://www.springer.com/series/11156 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_17949_1.pdf | 1,03 MB | Adobe PDF | Ver/Abrir |