Paper
Dynamic Tourism Information System Using the Semantic Web
- Authors:
- Fatima Faiza Ahmed; Fatima Saima hmed
- Abstract
- 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.
- Keywords
- Information Extraction; Semantic Web; DL Queries; Hotel Search Model
- StartPage
- 120
- EndPage
- 124
- Doi
- 10.5963/IJCSAI0303005