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Keyword Search over RDF: Is a Single Perspective Enough?

Information Systems Laboratory, FORTH-ICS, 70013 Heraklion, Greece
Computer Science Department, University of Crete, 70013 Heraklion, Greece
Author to whom correspondence should be addressed.
Big Data Cogn. Comput. 2020, 4(3), 22;
Received: 6 August 2020 / Revised: 19 August 2020 / Accepted: 24 August 2020 / Published: 27 August 2020
(This article belongs to the Special Issue Semantic Web Technology and Recommender Systems)
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 keyword-based search paradigm. 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 (multiple-perspectives), 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 fundamental perspectives, 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. View Full-Text
Keywords: keyword search; RDF; interactive information retrieval keyword search; RDF; interactive information retrieval
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MDPI and ACS Style

Nikas, C.; Kadilierakis, G.; Fafalios, P.; Tzitzikas, Y. Keyword Search over RDF: Is a Single Perspective Enough? Big Data Cogn. Comput. 2020, 4, 22.

AMA Style

Nikas C, Kadilierakis G, Fafalios P, Tzitzikas Y. Keyword Search over RDF: Is a Single Perspective Enough? Big Data and Cognitive Computing. 2020; 4(3):22.

Chicago/Turabian Style

Nikas, Christos, Giorgos Kadilierakis, Pavlos Fafalios, and Yannis Tzitzikas. 2020. "Keyword Search over RDF: Is a Single Perspective Enough?" Big Data and Cognitive Computing 4, no. 3: 22.

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