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Big Data and Cognitive Computing, Volume 4, Issue 3

2020 September - 8 articles

Cover Story: This paper investigates an interaction approach for keyword search over RDF datasets that offers multiple presentation methods ('perspectives') of the search results, allowing the user to easily switch between these perspectives and thus exploit the benefit offered by each one. The paper focuses on a set of fundamental perspectives, discusses the benefits from each one, compares this approach with related existing systems, and reports 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 the approach positively. View this paper.
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Articles (8)

  • Article
  • Open Access
17 Citations
9,250 Views
14 Pages

An AI-Based Automated Continuous Compliance Awareness Framework (CoCAF) for Procurement Auditing

  • Ke Wang,
  • Michael Zipperle,
  • Marius Becherer,
  • Florian Gottwalt and
  • Yu Zhang

Compliance management for procurement internal auditing has been a major challenge for public sectors due to its tedious period of manual audit history and large-scale paper-based repositories. Many practical issues and potential risks arise during t...

  • Article
  • Open Access
16 Citations
6,874 Views
19 Pages

Keyword Search over RDF: Is a Single Perspective Enough?

  • Christos Nikas,
  • Giorgos Kadilierakis,
  • Pavlos Fafalios and
  • Yannis Tzitzikas

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 th...

  • Article
  • Open Access
35 Citations
8,541 Views
14 Pages

Data-Assisted Persona Construction Using Social Media Data

  • Dimitris Spiliotopoulos,
  • Dionisis Margaris and
  • Costas Vassilakis

User experience design and subsequent usability evaluation can benefit from knowledge about user interaction, types, deployment settings and situations. Most of the time, the user type and generic requirements are given or can be obtained and used to...

  • Article
  • Open Access
38 Citations
8,242 Views
14 Pages

Parking is a crucial element in urban mobility management. The availability of parking areas makes it easier to use a service, determining its success. Proper parking management allows economic operators located nearby to increase their business reve...

  • Article
  • Open Access
11 Citations
6,198 Views
21 Pages

In this paper, we propose an unconstrained face verification approach that is dependent on Hybrid Siamese architecture under limited resources. The general face verification trend suggests that larger training datasets and/or complex architectures le...

  • Article
  • Open Access
5,534 Views
19 Pages

The scientific study of teamwork in the context of long-term spaceflight has uncovered a considerable amount of knowledge over the past 20 years. Although much is known about the underlying factors and processes of teamwork, much is left to be discov...

  • Article
  • Open Access
35 Citations
13,319 Views
27 Pages

MOBDA: Microservice-Oriented Big Data Architecture for Smart City Transport Systems

  • Suriya Priya R. Asaithambi,
  • Ramanathan Venkatraman and
  • Sitalakshmi Venkatraman

Highly populated cities depend highly on intelligent transportation systems (ITSs) for reliable and efficient resource utilization and traffic management. Current transportation systems struggle to meet different stakeholder expectations while trying...

  • Article
  • Open Access
15 Citations
8,197 Views
20 Pages

TranScreen: Transfer Learning on Graph-Based Anti-Cancer Virtual Screening Model

  • Milad Salem,
  • Aminollah Khormali,
  • Arash Keshavarzi Arshadi,
  • Julia Webb and
  • Jiann-Shiun Yuan

Deep learning’s automatic feature extraction has proven its superior performance over traditional fingerprint-based features in the implementation of virtual screening models. However, these models face multiple challenges in the field of early...

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Big Data Cogn. Comput. - ISSN 2504-2289