An Architecture based in Voice Command Recognition for faceted search in Linked Open Datasets View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-10-12

AUTHORS

Betia Lizbeth López-Ochoa , José Luis Sánchez-Cervantes , Giner Alor-Hernández , Ma. Antonieta Abud-Figueroa , Beatriz A. Olivares-Zepahua , Lisbeth Rodríguez-Mazahua

ABSTRACT

Faceted browsers have become a popular interface paradigm, since they combine the visualization of data that are part of a graph with data filtering techniques. On the other hand, NLP (Natural Language Processing) allows the use of everyday or natural language to interact with computer systems. LOD (Linked Open Data) cloud is the collection of datasets published in Linked Data format and covers a large number of domains, but the interaction with them is intended to be exploited by experts. Because of the problematic raised it is proposed the creation of an integration architecture for Linked Open datasets in a faceted browser with recognition of voice commands, so that through the NLP, on voice commands issued by the user, SPARQL queries will be generated to perform the search and navigation among the data stored in datasets available in the LOD cloud. More... »

PAGES

174-185

References to SciGraph publications

  • 2009. Widgets for Faceted Browsing in HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION. DESIGNING INFORMATION ENVIRONMENTS
  • 2007. DBpedia: A Nucleus for a Web of Open Data in THE SEMANTIC WEB
  • 2015. Mastering Structured Data on the Semantic Web, From HTML5 Microdata to Linked Open Data in NONE
  • 2016-01. VOX system: a semantic embodied conversational agent exploiting linked data in MULTIMEDIA TOOLS AND APPLICATIONS
  • Book

    TITLE

    Trends and Applications in Software Engineering

    ISBN

    978-3-319-69340-8
    978-3-319-69341-5

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-69341-5_16

    DOI

    http://dx.doi.org/10.1007/978-3-319-69341-5_16

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1092165629


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