scholarly journals The role of chatterbots in enhancing tourism: a case study of Penang tourism spots

Author(s):  
Vinothini Kasinathan ◽  
Aida Mustapha ◽  
Mohamad Firdaus Che Abdul Rani ◽  
Salama A. Mostafa

Chatterbots have been widely used as a tool for conversational booking assistance mainly for hotels such as the Expedia. This paper extends the use of chatterbot beyond booking by presenting the proof of concept of a chatterbot expert system called the VIZARD. The proposed VIZARD is developed using an expert system shell called verbot. The core of Vertbot 5 is the natural language processing (NLP) engine based on pattern matching. The core Verbot 5 engine is responsible for finding matches to a given user input string and firing the appropriate rule. The findings from the user acceptance test concluded that majority of the respondents agreed that the VIZARD expert system stands at an unbiased state while being more aligned on supporting the usefulness of the system.

Author(s):  
Amitabh Upadhya ◽  
Mohit Vij

The chapter explores the role and importance of Destination Management Organizations in managing the delivery of creative tourist experience. The study is divided in two parts whereby the first part adopts a qualitative methodology of exploration in regard to Destination Management Organizations and Creative Tourist Experiences while the second part is a case study of the tourism organizations of the UAE. The role of creativity in managing the total tourist experience is the core theme of the study. The study finds that co-creation of tourist experiences have a lasting memory value. Creative tourist experience can be achieved in the creative-theatre by a combination of designed aesthetics, choreographed activities and co-created souvenirs as the major elements.


2011 ◽  
Vol 2 (1) ◽  
pp. 171-197
Author(s):  
Andrew Gargett

We propose a novel dual processing model of linguistic routinisation, specifically formulaic ex- pressions (from relatively fixed idioms, all the way through to looser collocational phenomena). This model is formalised using the Dynamic Syntax (DS) formal account of language processing, whereby we make a specific extension to the core DS lexical architecture to capture the dynamics of linguistic routinisation. This extension is inspired by work within cognitive science more broadly. DS has a range of attractive modelling features, such as full incrementality, as well as recent ac- counts of using resources of the core grammar for modelling a range of dialogue phenomena, all of which we deploy in our account. This leads to not only a fully incremental model of formulaic lan- guage, but further, this straightforwardly extends to routinised dialogue phenomena. We consider this approach to be a proof of concept of how interdisciplinary work within cognitive science holds out the promise of meeting challenges faced by modellers of dialogue and discourse.


2011 ◽  
pp. 148-169
Author(s):  
Enid Mumford

This chapter and case study address two important design problems. The first is the challenge presented by the task of developing systems that affect a major part of company activities—either by covering a widely dispersed function or a number of different functions. The second is the role of the group facilitator or project manager in relation to large systems design.


Author(s):  
Katayama Kunio

This chapter argues that the expansion of a nation’s shipping industry, though often accompanied by imperialist activity, does not guarantee it. Katayama Kunio considers the role of commerce, rather than imperialism, to be the intrinsic link to shipping expansion, and uses the expansion of Japanese shipping before the 1894-1895 Sino-Japanese war as the core case study. Kunio studies the contextual background to Japan’s international shipping interests, including the history of the Nippon Yusen Kaisha company, the ambitions of Japanese Shipowners, the debates in Japanese parliament, and Japanese public opinion, to determine the motives that led Japan to enter into international shipping and trade.


2021 ◽  
Author(s):  
Simon Goring ◽  
Jeremiah Marsicek ◽  
Shan Ye ◽  
John Williams ◽  
Stephen Meyers ◽  
...  

Machine learning technology promises a more efficient and scalable approach to locating and aggregating data and information from the burgeoning scientific literature. Realizing this promise requires provision of applications, data resources, and the documentation of analytic workflows. GeoDeepDive provides a digital library comprising over 13 million peer-reviewed documents and the computing infrastructure upon which to build and deploy search and text-extraction capabilities using regular expressions and natural language processing. Here we present a model GeoDeepDive workflow and accompanying R package to show how GeoDeepDive can be employed to extract spatiotemporal information about site-level records in the geoscientific literature. We apply these capabilities to a proof-of-concept subset of papers in a case study to generate a preliminary distribution of ice-rafted debris (IRD) records in both space and time. We use regular expressions and natural language-processing utilities to extract and plot reliable latitude-longitude pairs from publications containing IRD, and also extract age estimates from those publications. This workflow and R package provides researchers from the geosciences and allied disciplines a general set of tools for querying spatiotemporal information from GeoDeepDive for their own science questions.


2021 ◽  
Vol 10 (1) ◽  
pp. 8-14
Author(s):  
Eko Hadi Gunawan ◽  
Muhammad Galih Wonoseto ◽  
Sekar Minati ◽  
Muhammad Taufiq Nuruzzaman

The success of JISKa is inseparable from the role of reviewers and authors. Unfortunately, JISKa had never been assessed or evaluated by reviewers and authors despite the fact that assessment from the reviewers and authors would be valuable feedback for JISKa’s self-evaluation. Therefore, survey-based research has recently been conducted to assess JISKa’s performance using the User Acceptance Test of OJS version 2.4.8.0. This study used a survey method to obtain an assessment and evaluation from reviewers and authors related to JISKa.The respondents in this study consist of 68 authors and 26 reviewers. The result of this study stated that 91.2% of the authors and 84.6% of reviewers are satisfied with JISKa. A percentage number of 100% of writers and reviewers wants JISKa to raise its level of Sinta accreditation. This accreditation is awarded in 2018 and will end in 2023. JISKa is now on Sinta 4.The JISKa website appearance looks good and easy to use. The dashboard on the JISKa page is user-friendly for the author. However, the current version of JISKa OJS 2.4.8.0 needs to be upgraded to OJS version 3. There are some points for the future consideration of JISKa: JISKa needs to promote itself more, upgrade the OJS version, and provide the reviewers with certificates of appreciation for future consideration.


Author(s):  
Janice C. Sipior

Research on project champions has focused on the characteristics of this individual and how to provide encouragement and support. An understanding of the role of project champion is shortsighted, however, without a realization of what can happen to an expert system (ES) project and what can be done, should this individual depart. This paper discusses the ES project champion by examining the experiences of Ciba-Geigy Corporation with an ES project impeded by the departure of the project champion. The OpBright expert system, developed to support the identification of appropriate optical brightener products by sales representatives, was intended to provide a competitive advantage through superior customer service. With the promotion and transfer of the vital force committed to the project’s success, the ES encountered a stalemate. The difficulties in maintaining momentum for the ES without a project champion are discussed. Finally, suggestions are presented to guide organizations away from the same fate.


2018 ◽  
Vol 7 (3.17) ◽  
pp. 64
Author(s):  
Chee Nian ◽  
Tan . ◽  
Chee Fai ◽  
Tan .

Bus manufacturing is one of the important assets in automotive industries as well as mode of public transportation. The design process is difficult and long throughout time. Moreover, there are many manuals, rules and regulation according to different standard which make the standardization and design process to be difficult and time consuming. Hence, this project describes the use of an expert system shell for commercial bus design. In bus manufacturing field, design of commercial bus is heavily depending on human experts. With the help of expert system, process of design commercial bus will be shortened up to 56.5% compared to conventional way. The developed system can be used as a training module for inexperienced personnel. In this research work, the fault diagnosis system was developed by using Kappa-PC expert system shell. It is supported by object orientated technology for the MS window environment. Lastly, the developed system will be validated with a case study to verify the capability of the developed system.  


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