Semantic Annotation and Retrieval of Scientific Documents in a Big Data Environment
Semantic Annotation and Retrieval of Scientific Documents in a Big Data Environment
- Author(s): N.A. Portilla Herrera ; F. López Gomez ; V.A. Bucheli ; O. Solarte Pabón
- DOI: 10.1049/ic.2017.0032
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- Author(s): N.A. Portilla Herrera ; F. López Gomez ; V.A. Bucheli ; O. Solarte Pabón Source: 7th Latin American Conference on Networked and Electronic Media (LACNEM 2017), 2017 page ()
- Conference: 7th Latin American Conference on Networked and Electronic Media (LACNEM 2017)
- DOI: 10.1049/ic.2017.0032
- ISBN: 978-1-78561-825-3
- Location: Valparaiso, Chile
- Conference date: 6-7 Nov. 2017
- Format: PDF
Semantic enrichment is widely used in information retrieval processes. Annotate semantically big sets of scientific documents could facilitate the search and retrieval using the concepts contained in them. Considering the increasing availability of scientific documents on the Web, it is necessary to have mechanisms that permit the annotation of large volumes of documents that grow at an accelerated pace. This article proposes a scalable software architecture to support the semantic annotation process and describes a prototype that implements the proposed architecture.
Inspec keywords: document handling; semantic Web; Big Data; software architecture; ontologies (artificial intelligence); information retrieval
Subjects: Information retrieval techniques; Document processing and analysis techniques; Knowledge engineering techniques; Software engineering techniques; Information networks
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