ETDs @PUC-Rio
| Título: | IMPROVING THE QUALITY OF THE USER EXPERIENCE BY QUERY ANSWER MODIFICATION | ||||||||||||
| Autor: |
JOAO PEDRO VALLADAO PINHEIRO |
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| Colaborador(es): |
MARCO ANTONIO CASANOVA - Orientador ELISA SOUZA MENENDEZ - Coorientador |
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| Catalogação: | 30/JUN/2021 | Língua(s): | ENGLISH - UNITED STATES |
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| Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
| Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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| Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=53481&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=53481&idi=2 |
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| DOI: | https://doi.org/10.17771/PUCRio.acad.53481 | ||||||||||||
| Resumo: | |||||||||||||
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The answer of a query, submitted to a database or a knowledge base, is often long and may contain redundant data. The user is frequently forced to browse thru a long answer, or to refine and repeat the query until the answer reaches a manageable size. Without proper treatment, consuming the query
answer may indeed become a tedious task. This study then proposes a process that modifies the presentation of a query answer to improve the quality of the user s experience, in the context of an RDF knowledge base. The process reorganizes the original query answer by applying heuristics to summarize the results. The original SPARQL query is modified and an exploration over the result set starts thru a guided navigation over predicates and its facets. The article also includes experiments based on RDF versions of MusicBrainz,
enriched with DBpedia data, and IMDb, each with over 200 million RDF triples. The experiments use sample queries from well-known benchmarks.
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