Here we present the final results of the MAPS (Marine Planning and Service Platform) project, an environment designed for gathering, classifying, managing and accessing marine scientific literature and data, making it available for search to Operative Oceanography researchers of various institutions by means of standard protocols. The system takes as input non-textual data (measurements) and text - both published papers and documentation - and it provides an advanced search facility thanks to the rich set of metadata and, above all, to the possibility of a refined and domain targeted key-word indexing of texts using Natural Language Processing (NLP) techniques. The paper describes the system in its details providing also evidence of evaluation.

A semantic engine for grey literature retrieval in the oceanography domain

Sara Goggi;Gabriella Pardelli;Roberto Bartolini;Francesca Frontini;MonicaMonachini;
2016

Abstract

Here we present the final results of the MAPS (Marine Planning and Service Platform) project, an environment designed for gathering, classifying, managing and accessing marine scientific literature and data, making it available for search to Operative Oceanography researchers of various institutions by means of standard protocols. The system takes as input non-textual data (measurements) and text - both published papers and documentation - and it provides an advanced search facility thanks to the rich set of metadata and, above all, to the possibility of a refined and domain targeted key-word indexing of texts using Natural Language Processing (NLP) techniques. The paper describes the system in its details providing also evidence of evaluation.
Campo DC Valore Lingua
dc.authority.ancejournal THE GREY JOURNAL -
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Sara Goggi it
dc.authority.people Gabriella Pardelli it
dc.authority.people Roberto Bartolini it
dc.authority.people Francesca Frontini it
dc.authority.people MonicaMonachini it
dc.authority.people Giuseppe Manzella it
dc.authority.people Maurizio De Mattei it
dc.authority.people Franco Bustaffa it
dc.collection.id.s b3f88f24-048a-4e43-8ab1-6697b90e068e *
dc.collection.name 01.01 Articolo in rivista *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/20 00:38:17 -
dc.date.available 2024/02/20 00:38:17 -
dc.date.issued 2016 -
dc.description.abstracteng Here we present the final results of the MAPS (Marine Planning and Service Platform) project, an environment designed for gathering, classifying, managing and accessing marine scientific literature and data, making it available for search to Operative Oceanography researchers of various institutions by means of standard protocols. The system takes as input non-textual data (measurements) and text - both published papers and documentation - and it provides an advanced search facility thanks to the rich set of metadata and, above all, to the possibility of a refined and domain targeted key-word indexing of texts using Natural Language Processing (NLP) techniques. The paper describes the system in its details providing also evidence of evaluation. -
dc.description.affiliations CNR-ILC, Pisa: Goggi Sara, Pardelli Gabriella, Bartolini Roberto, Frontini Francesca, Monachini Monica; ETTsolutions, Genova : Manzella Giuseppe; DP2000, La Spezia: De Mattei Maurizio, Bustaffa Franco -
dc.description.allpeople Goggi, Sara; Pardelli, Gabriella; Bartolini, Roberto; Frontini, Francesca; Monicamonachini, ; Manzella, Giuseppe; De Mattei, Maurizio; Bustaffa, Franco -
dc.description.allpeopleoriginal Sara Goggi, Gabriella Pardelli, Roberto Bartolini, Francesca Frontini, MonicaMonachini, Giuseppe Manzella, Maurizio De Mattei and Franco Bustaffa -
dc.description.fulltext none en
dc.description.numberofauthors 8 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/320996 -
dc.identifier.url http://www.greynet.org/thegreyjournal/currentissue.html -
dc.language.iso eng -
dc.relation.firstpage 155 -
dc.relation.issue 3 -
dc.relation.lastpage 161 -
dc.relation.numberofpages 7 -
dc.relation.volume 12 -
dc.subject.keywords Information Extraction -
dc.subject.keywords Search Engine -
dc.subject.keywords Operative Oceanography -
dc.subject.singlekeyword Information Extraction *
dc.subject.singlekeyword Search Engine *
dc.subject.singlekeyword Operative Oceanography *
dc.title A semantic engine for grey literature retrieval in the oceanography domain en
dc.type.driver info:eu-repo/semantics/article -
dc.type.full 01 Contributo su Rivista::01.01 Articolo in rivista it
dc.type.miur 262 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 359144 -
iris.orcid.lastModifiedDate 2024/04/04 18:11:20 *
iris.orcid.lastModifiedMillisecond 1712247080721 *
iris.scopus.extIssued 2016 -
iris.scopus.extTitle A semantic engine for grey literature retrieval in the oceanography domain -
iris.sitodocente.maxattempts 3 -
Appare nelle tipologie: 01.01 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/320996
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