Natural Language Interface to Relational Database (NLI-RDB) Through Object Relational Mapping (ORM)

Alghamdi, Abdullah; Owda, Majdi; Crockett, Keeley

doi:10.1007/978-3-319-46562-3_29

Cited by 9 publications

(7 citation statements)

References 18 publications

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“…In most experiments, very simple tasks are proposed. For example, using Apple Siri to find an inexpensive hotel in Osaka [15], search a flight ticket and hotel [3], whether a simple chatbot can be appropriately used as a delivery mechanism [24], buying shoes [1], measuring the quality and quantity of the information retrieved [18], taking a structured interview with chatbot [27], or playing a game [29]. However, real-life situations are more complicated.…”

Section: Methodsmentioning

confidence: 99%

“…In [17], different questionnaires were used in three different periods of the experiment. In [18], the authors used questionnaires to measure quantitative and qualitative evaluations of the new NLP method used by the chatbot. In [29], during the interview, participants had to explain the difficulties they had.…”

Section: A Usability Techniquesmentioning

confidence: 99%

“…For example, through comparing with other chatbots with similar functionality for completing the task, the authors in [1] proved their e-commerce chatbot performs better than the default chatbot. In [18], according to the result of the questionnaire, 80% participants claimed that the content of the retrieved information is clear and useful. In [27], the authors measure the number of users who complete the task (interview) through two different tools, showing that the chatbot has higher acceptability.…”

Section: ) Effectivenessmentioning

confidence: 99%

“…In [14], more users are satisfied with the chatbot, due to its speaker functionality and natural conversation flow. In [18], the authors used Object Relational Mapping (ORM) frameworks to improve the process of generating SQL statements from NL queries. Many chatbots are built as Embodied Conversational Agents (ECA), and there are increasing number of chatbots with image, sound and personality [17] [21][23] [29].…”

Section: Type Of Chatbotsmentioning

confidence: 99%

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Usability of Chatbots: A Systematic Mapping Study

Ren¹,

Castro²,

Acuña³

et al. 2019

International Conferences on Software Engineering and Knowledge Engineering

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Background: The use of chatbots has increased considerably in recent years. These are used in different areas and by a wide variety of users. Due to this fact, it is essential to incorporate usability in their development. Aim: Our objective is to identify the state of the art in chatbot usability and applied human-computer interaction techniques, to analyze how to evaluate chatbots usability. Method: A systematic mapping study has been conducted, searching the main scientific databases. The search retrieved 170 citations and 19 articles were retained as primary studies. Results: The works were categorized according to four criteria: usability techniques, usability characteristics, research methods and type of chatbots. Conclusions: Chatbot usability is a very incipient field of research, where the published studies are mainly surveys, usability tests, and rather informal experimental studies. Hence, it becomes necessary to perform more formal experiments to measure user experience, and exploit these results to provide usability-aware design guidelines.

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Section: Methodsmentioning

confidence: 99%

Section: A Usability Techniquesmentioning

confidence: 99%

Section: ) Effectivenessmentioning

confidence: 99%

Section: Type Of Chatbotsmentioning

confidence: 99%

See 2 more Smart Citations

Usability of Chatbots: A Systematic Mapping Study

Ren¹,

Castro²,

Acuña³

et al. 2019

International Conferences on Software Engineering and Knowledge Engineering

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“…ORM. The ORM in the application provides a mapping mechanism that allows querying of data from RDBMS using an object-oriented paradigm [49,50]. Modern web applications are well suited for this technique since they are multi-threaded and are rapidly evolving.…”

Section: Generating Audit Logsmentioning

confidence: 99%

Secure and transparent audit logs with BlockAudit

Ahmad

Saad

Mohaisen

2019

Journal of Network and Computer Applications

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Audit logs serve as a critical component in enterprise business systems and are used for auditing, storing, and tracking changes made to the data. However, audit logs are vulnerable to a series of attacks enabling adversaries to tamper data and corresponding audit logs without getting detected. Among them, two well-known attacks are "the physical access attack, " which exploits root privileges, and "the remote vulnerability attack, " which compromises known vulnerabilities in database systems. In this paper, we present BlockAudit: a scalable and tamper-proof system that leverages the design properties of audit logs and security guarantees of blockchain to enable secure and trustworthy audit logs. Towards that, we construct the design schema of BlockAudit and outline its functional and operational procedures. We implement our design on a custom-built Practical Byzantine Fault Tolerance (PBFT) blockchain system and evaluate the performance in terms of latency, network size, payload size, and transaction rate. Our results show that conventional audit logs can seamlessly transition into BlockAudit to achieve higher security and defend against the known attacks on audit logs.

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