Hajj-QAES: A Knowledge-Based Expert System to Support Hajj Pilgrims in Decision Making

Sulaiman, Shahida; Mohamed, Hasimah Hj; Arshad, Muhammad; Rashid, Nur’Aini Abdul; Yusof, Umi Kalsom

doi:10.1109/icctd.2009.190

Cited by 15 publications

(8 citation statements)

References 8 publications

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“…In their study, reference [73] proposed a Knowledge-Based Expert Systems (KBES) that can be used by pilgrims at different stages both before, during and after their pilgrimage. The main goal of their system was to support pilgrims in their learning and decisionmaking processes.…”

Section: Current Mobile Qa Systems For Pilgrimage Domainmentioning

confidence: 99%

Ontology-Based Approach to Semantically Enhanced Question Answering for Closed Domain: A Review

Arbaaeen

Shah

2021

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For many users of natural language processing (NLP), it can be challenging to obtain concise, accurate and precise answers to a question. Systems such as question answering (QA) enable users to ask questions and receive feedback in the form of quick answers to questions posed in natural language, rather than in the form of lists of documents delivered by search engines. This task is challenging and involves complex semantic annotation and knowledge representation. This study reviews the literature detailing ontology-based methods that semantically enhance QA for a closed domain, by presenting a literature review of the relevant studies published between 2000 and 2020. The review reports that 83 of the 124 papers considered acknowledge the QA approach, and recommend its development and evaluation using different methods. These methods are evaluated according to accuracy, precision, and recall. An ontological approach to semantically enhancing QA is found to be adopted in a limited way, as many of the studies reviewed concentrated instead on NLP and information retrieval (IR) processing. While the majority of the studies reviewed focus on open domains, this study investigates the closed domain.

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Section: Current Mobile Qa Systems For Pilgrimage Domainmentioning

confidence: 99%

Ontology-Based Approach to Semantically Enhanced Question Answering for Closed Domain: A Review

Arbaaeen

Shah

2021

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“…In their research, ref. [34] suggested a knowledge-based expert system to support pilgrims at several stages such as ritual exercises learning and decision-making. In the meantime, ref.…”

Section: Related Workmentioning

confidence: 99%

A Knowledge-Based Sense Disambiguation Method to Semantically Enhanced NL Question for Restricted Domain

Arbaaeen

Shah

2021

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Within the space of question answering (QA) systems, the most critical module to improve overall performance is question analysis processing. Extracting the lexical semantic of a Natural Language (NL) question presents challenges at syntactic and semantic levels for most QA systems. This is due to the difference between the words posed by a user and the terms presently stored in the knowledge bases. Many studies have achieved encouraging results in lexical semantic resolution on the topic of word sense disambiguation (WSD), and several other works consider these challenges in the context of QA applications. Additionally, few scholars have examined the role of WSD in returning potential answers corresponding to particular questions. However, natural language processing (NLP) is still facing several challenges to determine the precise meaning of various ambiguities. Therefore, the motivation of this work is to propose a novel knowledge-based sense disambiguation (KSD) method for resolving the problem of lexical ambiguity associated with questions posed in QA systems. The major contribution is the proposed innovative method, which incorporates multiple knowledge sources. This includes the question’s metadata (date/GPS), context knowledge, and domain ontology into a shallow NLP. The proposed KSD method is developed into a unique tool for a mobile QA application that aims to determine the intended meaning of questions expressed by pilgrims. The experimental results reveal that our method obtained comparable and better accuracy performance than the baselines in the context of the pilgrimage domain.

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“…But all the time, experts may not be around to help. So, Shahida Sulaimanand Hasimah [5] Mohamed have proposed knowledge based approach that can cover possible problems and solutions from experts and this system is called Hajj-QAES. This system helps the pilgrims in learning process and what to do next without asking to anyone.…”

Section: IImentioning

confidence: 99%

Real Time Pilgrim Health Monitoring and Tracking the Position using GPS and Biomedical Sensor

Jadhav¹

2019

IJRASET

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The main aim of this paper is to monitor the parameters like body temperature, heartbeat rate and track location of the pilgrim. The pilgrim body temperature, heartbeat rate are detected using a particular sensors. Every year number of pilgrims gathers for pilgrimage in blessed area. Finding the location and movement of such large number of pilgrims is important for the establishment who is managing the whole event and also pilgrim relatives. The organizing establishments face so many problems like crowd, security and detection of pilgrims. A number of technologies are used during Hajj in Saudi Arabia to reduce such problems. The goal of this paper, is to review the past work of pilgrim tracking and health monitoring systems, to classify various methodologies and identify new trends.

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Hajj-QAES: A Knowledge-Based Expert System to Support Hajj Pilgrims in Decision Making

Cited by 15 publications

References 8 publications

Ontology-Based Approach to Semantically Enhanced Question Answering for Closed Domain: A Review

Ontology-Based Approach to Semantically Enhanced Question Answering for Closed Domain: A Review

A Knowledge-Based Sense Disambiguation Method to Semantically Enhanced NL Question for Restricted Domain

Real Time Pilgrim Health Monitoring and Tracking the Position using GPS and Biomedical Sensor

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