Keyword Search over RDF: Is a Single Perspective Enough?
Since the task of accessing RDF datasets through structured query languages like SPARQL is rather demanding for ordinary users, there are various approaches that attempt to exploit the simpler and widely used <i>keyword-based search paradigm</i>. However this task is challenging since th...
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MDPI AG
2020-08-01
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Series: | Big Data and Cognitive Computing |
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Online Access: | https://www.mdpi.com/2504-2289/4/3/22 |
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author | Christos Nikas Giorgos Kadilierakis Pavlos Fafalios Yannis Tzitzikas |
author_facet | Christos Nikas Giorgos Kadilierakis Pavlos Fafalios Yannis Tzitzikas |
author_sort | Christos Nikas |
collection | DOAJ |
description | Since the task of accessing RDF datasets through structured query languages like SPARQL is rather demanding for ordinary users, there are various approaches that attempt to exploit the simpler and widely used <i>keyword-based search paradigm</i>. However this task is challenging since there is no clear unit of retrieval and presentation, the user information needs are in most cases not clearly formulated, the underlying RDF datasets are in most cases incomplete, and there is not a single presentation method appropriate for all kinds of information needs. As a means to alleviate these problems, in this paper we investigate an interaction approach that offers multiple presentation methods of the search results (<i>multiple-perspectives</i>), allowing the user to easily switch between these perspectives and thus exploit the added value that each such perspective offers. We focus on a set of <i>fundamental perspectives</i>, we discuss the benefits from each one, we compare this approach with related existing systems and report the results of a task-based evaluation with users. The key finding of the task-based evaluation is that users not familiar with RDF (a) managed to complete the information-seeking tasks (with performance very close to that of the experienced users), and (b) they rated positively the approach. |
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id | doaj.art-1e3b86050ef94e23a8bf0ab997f344a4 |
institution | Directory Open Access Journal |
issn | 2504-2289 |
language | English |
last_indexed | 2024-03-10T16:45:34Z |
publishDate | 2020-08-01 |
publisher | MDPI AG |
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series | Big Data and Cognitive Computing |
spelling | doaj.art-1e3b86050ef94e23a8bf0ab997f344a42023-11-20T11:37:28ZengMDPI AGBig Data and Cognitive Computing2504-22892020-08-01432210.3390/bdcc4030022Keyword Search over RDF: Is a Single Perspective Enough?Christos Nikas0Giorgos Kadilierakis1Pavlos Fafalios2Yannis Tzitzikas3Information Systems Laboratory, FORTH-ICS, 70013 Heraklion, GreeceInformation Systems Laboratory, FORTH-ICS, 70013 Heraklion, GreeceInformation Systems Laboratory, FORTH-ICS, 70013 Heraklion, GreeceInformation Systems Laboratory, FORTH-ICS, 70013 Heraklion, GreeceSince the task of accessing RDF datasets through structured query languages like SPARQL is rather demanding for ordinary users, there are various approaches that attempt to exploit the simpler and widely used <i>keyword-based search paradigm</i>. However this task is challenging since there is no clear unit of retrieval and presentation, the user information needs are in most cases not clearly formulated, the underlying RDF datasets are in most cases incomplete, and there is not a single presentation method appropriate for all kinds of information needs. As a means to alleviate these problems, in this paper we investigate an interaction approach that offers multiple presentation methods of the search results (<i>multiple-perspectives</i>), allowing the user to easily switch between these perspectives and thus exploit the added value that each such perspective offers. We focus on a set of <i>fundamental perspectives</i>, we discuss the benefits from each one, we compare this approach with related existing systems and report the results of a task-based evaluation with users. The key finding of the task-based evaluation is that users not familiar with RDF (a) managed to complete the information-seeking tasks (with performance very close to that of the experienced users), and (b) they rated positively the approach.https://www.mdpi.com/2504-2289/4/3/22keyword searchRDFinteractive information retrieval |
spellingShingle | Christos Nikas Giorgos Kadilierakis Pavlos Fafalios Yannis Tzitzikas Keyword Search over RDF: Is a Single Perspective Enough? Big Data and Cognitive Computing keyword search RDF interactive information retrieval |
title | Keyword Search over RDF: Is a Single Perspective Enough? |
title_full | Keyword Search over RDF: Is a Single Perspective Enough? |
title_fullStr | Keyword Search over RDF: Is a Single Perspective Enough? |
title_full_unstemmed | Keyword Search over RDF: Is a Single Perspective Enough? |
title_short | Keyword Search over RDF: Is a Single Perspective Enough? |
title_sort | keyword search over rdf is a single perspective enough |
topic | keyword search RDF interactive information retrieval |
url | https://www.mdpi.com/2504-2289/4/3/22 |
work_keys_str_mv | AT christosnikas keywordsearchoverrdfisasingleperspectiveenough AT giorgoskadilierakis keywordsearchoverrdfisasingleperspectiveenough AT pavlosfafalios keywordsearchoverrdfisasingleperspectiveenough AT yannistzitzikas keywordsearchoverrdfisasingleperspectiveenough |