OnTraNetBD: A Knowledgebase for the Travel Network in Bangladesh (original) (raw)

OnTraNetBD: An Ontology for Travel Network in Bangladesh

2014

Ontologies are the essentials tools of intelligent systems that are used with different purposes and with various modalities in diverse domains and communities. In Bangladesh Tourism and Travel has become a significant area for improvement and digitalization. The travel domain of Bangladesh is diversely extended. In this thesis work we have accumulated the information about the tourism of Bangladesh in OnTraNetBD. OnTraNetBD is a classification ontology containing the relationship among the tourist attractions and the other complementary elements of travelling. Furthermore, it contains a relational database developed on the basis of the concepts and relations of OnTraNetBD. This ontology can present the whole travel domain to any end users or machines in a hierarchical fashion which will facilitate the users and machines to understand the domain information and use according to the individual requirement. Moreover, OnTraNetBD is furnished with such design that can be mapped with other ontologies for gathering more information to extend the domain of interest.

An Ontology-based Web-portal for Tourism

Traditional trip planning involves decisions made by tourists in order to explore an environment, such as a geographic area, usually without having any prior knowledge or experience with it. Contemporary technological development has facilitated not only human mobility but also has set the path for various applications to assist tourists in way-finding, event notification using location-based services etc. Our approach explores how the use of ontologies, in a web-based environment can be used for tourism applications. The methodology consists of building two separate ontologies, one for the users profile and another one concerning tourism information and data in order to assist visitors of an area plan their visit.

Applying semantic web technologies for tourism information systems

Research Center for Information Technologies at the …, 2002

The Semantic Web as the next generation web is the vision of having background knowledge about the meaning of web sources stored in a machine-processable and -interpretable way. The area of tourism is highly dynamic area that currently already extensively uses the available Internet technologies. However, the shortcomings of the existing technology are that information finding and extraction as well as the interpretation of the information contained in the web sources is left to the human user. In this paper it is shown how the vision of the Semantic Web and already existing Semantic Web technologies can be used for next-generation tourism information systems.

The Advent of Semantic Web in Tourism Information Systems

2005

The tourism industry depends on complex value creation chains involving a large number of participants that change frequently and rapidly. In addition, the products of tourism industry are complex and they will perish if they are not sold in time. For these reasons, the ideal tourism information systems require a lot of flexibility of underlying systems. Moreover, they comprise accurate access to any tourism service that provide, and they are usable by corporate and private customers alike. The management and interoperation of semantically diverse tourism information systems are facilitated by Semantic Web technology that provides methods and standards, which allow accurate access to information as well as flexibility to comply with needs of tourism information system users and administrators. This paper considers state-of-the art issues (ontologies, semantic modelling and querying, semantic portals and semantic-based e-markets) concerning the exploitation of the semantic web technologies and applications in tourism information systems.

A SURVEY ON EXISTING TOURISM ONTOLOGIES

Many studies have been conducted, to indicate extensive use of Tourism websites by vacation planners, to analyze travel related information and data. Semantic web technologies have been used extensively to build and enhance Analytical Engines for tourism industry over the past decade. Various Ontologies, as a powerful knowledge base, have been used for representing the various tourism concepts. These Ontologies can then be further integrated to handle the much needed requirements of resolving the heterogeneity problems arising in e-tourism. On the Flip-side, this integration of Ontologies may complicate the whole task of simplifying the search for the relevant e-tourism data. This survey paper intends to explore all dimensions of publicly available tourism Ontologies, and put-forth a new area of research, to identify and mitigate the shortcomings of existing Ontologies and there integration.

Application of Semantic Web Technology in Building Tourism Information Support System

PROCEEDINGS OF THE 14TH NATIONAL CONFERENCE ON FUNDAMENTAL AND APPLIED INFORMATION TECHNOLOGY RESEARCH

Currently, there are many different systems helping visitors look up tourist information. However, to visit famous tourist attractions, visitors need to know all the information such as accommodation, nearby restaurants, and other attractions. Most tourists search for information using search engines, but most of the results do not meet their requirements. This article proposes a system for recommending tourist attractions in Da Lat City by using the Semantic Web, the Semantic Web Rule Language, and the KNN algorithm (K-Nearest Neighbor) for finding and displaying most relevant tourist information. This system is built in Python language and built as a web application. The system allows users to choose recommendations according to their personal preferences (accommodation, places to eat, type of attractions,etc.), thereby suggesting data to find appropriate and suitable destinations according to their needs.

Dynamic Tourism Information System Using the Semantic Web

International Journal of Computer Science and Artificial Intelligence, 2013

The semantic web is one of the most promising and emerging areas of computer science. Its ability to make information that is only human understandable to be understood and processed by machines increases its relevance and time efficiency. In this paper we present a semantic web application that contains a dynamic knowledge base holding hotel related information, which is updated at every run from the information provided in the hotels' websites, and a natural language querying platform where the user can enter his free form natural language queries. DL Query is used as the engine that performs the retrieval of data from the ontology. A simple user experiment shows that the system is time effective and helpful in decision making.

Applying Semantic Web Technologies for Improving the Visibility of Tourism Data

Proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval, 2015

Tourism industry is an extremely information-intensive, complex and dynamic activity. It can benefit from semantic Web technologies, due to the significant heterogeneity of information sources and the high volume of on-line data. The management of semantically diverse annotated tourism data is facilitated by ontologies that provide methods and standards, which allow flexibility and more intelligent access to on-line data. This paper provides a description of some of the early results of the Tourinflux project which aims to apply semantic Web technologies to support tourist actors in effectively finding and publishing information on the Web.

Tourism ontology and semantic management system: state-of-the-arts analysis

2007

Abstract: The global importance of tourism is steadily rising, creating new job opportunities in many countries. Today's information management solutions for the complex tasks of tourism intermediaries are still at an early stage from a semantic point of view. This paper presents some preliminary results of OnTourism Project.

Challenges and potential of the Semantic Web for tourism

Challenges and potential of the Semantic Web for tourism Nina Mistilis Australian School of Business University of New South Wales Dimitrios Buhalis International Centre for Tourism & Hospitality Research Bournemouth University UK Abstract The paper explores tourism challenges and potential of the Semantic Web from a theoretical and industry perspective. It first examines tourism business networks and explores a main theme of network interoperability - data standards- followed by technology deficiencies of Web 1.0 and 2.0 and Semantic Web solutions. It then explicates Semantic opportunities and challenges for tourism, including an industry perspective through a qualitative approach. Industry leaders considered that the new Web era was imminent and heralded benefits for supply and demand side interoperability, although management and technical challenges could impede progress and delay realisation. Keywords: tourism networks; Web 1.0 and Web 2.0 deficiencies; semantic web