Search results

This study presents a review based research framework that aims to influence memory institutions in their projects on digital storytelling from digitized ancient travel records. This study aims to influence research and policymaking related to design and delivery of services based on memory institutions’ collections of historical records.

The demonstrated research framework has been synthesized using inputs from a review of existing studies on the domain accompanied by a short survey created for collecting the opinion of selected experts. Studies demonstrating utilization of semantic web technologies and those that can influence policymaking related to digital storytelling were primarily reviewed.

The core tasks behind digital storytelling vary depending on the project goals. So, a two-part framework had to be proposed that covers the generic fundamental tasks with diverse applicability and digital storytelling related specific tasks separately. Also during the review, it was found that studies demonstrating the use of travel records for digital storytelling were less in number compared to studies using digital storytelling for tourism in general.

The demonstrated research framework can guide memory institutions in exposing their travel-related holdings to a wider audience using innovative semantic web technologies and open up avenues for future empirical research thereby adding to the novelty of the presented research. Also, reviews of articles on digital storytelling or digital humanities in general exist, but, review of digital storytelling initiatives focusing specifically on tourism and travel literature is scarce.

This study demonstrates the synthesis of a knowledge organization framework from tourist reviews and an ontological model with its implementation in graph database, which is based on this framework. The aim is to influence place-making outcomes at tourist destinations.

The faceted classification approach has been used for generating and validating the framework based on online reviews about urban tourism parks. The framework was used to develop an ontology using Protégé ontology editor that was implemented using GraphDB.

Three fundamental facet categories, namely Component, Aspect and Outcome, each consisting of several sub-facets, were synthesized from the analyses of the reviews. Besides helping in constructing the ontology, the analysis also helped in calculating an importance-score for the reviews that helped in ranked information retrieval.

The analyses of the reviews were done manually and may carry human bias. But it is robust as it is based on a canonical faceted methodology.

It is envisaged that this study will help tourist destination planners in decision-making by easing the utilization of tourist generated reviews by the knowledge management systems they use. Opinions of tourists will be induced in destination planning thereby helping in the production of quality “places.”

The presented faceted framework aims to specifically aid knowledge organization pertaining to online reviews related to tourist destinations. The focus is on organizing knowledge to facilitate tourism development for better place-making outcomes, which is an important area of research though it has little contributions.

Narendra Modi’s Bharatiya Janata Party made fighting corruption as a major election plank, and won the 2014 elections, and formed the National Democratic Alliance government – a majority party government in India in nearly 30 years. Modi was re-elected in May 2019 with a bigger majority. As his government celebrates the second term, it is time to assess the last five years’ accomplishments in fighting corruption. This chapter deals with the subject under four major headings. The first examines the efficacy of existing anti-corruption agencies. The second explains the office of Lokpal (Ombudsman). The third analyses the initial challenges and efforts of the Modi government. The fourth draws some conclusions.