An Architecture based in Voice Command Recognition for faceted search in Linked Open Datasets
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.
KeywordsFaceted navigation Linked Data Natural Language Processing Voice recognition
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