Tuan-Dung Cao

An Ontology Based Approach to Data Representation and Information Search in Smart Tourist Guide System

Tourism is travel for leisure and recreational purposes. However, travelers suffer from information overload when they use the Internet to look for information about potential destinations, events and related services. Providing the relevant information to tourists with different personal interests is still a challenging task for tourist guide information systems. This paper presents an ontology based approach for developing STAAR (Semantic Tourist information Access and Recommending), a system that addresses this problem. STAAR help tourist search information by providing a various semantic search feature in a mobile phone application. In addition, we propose an algorithm for recommending travel route relevant to both criterions: itinerary length and user interest.

Integrating External Sources in a Corporate Semantic Web Managed by a Multi-agent System

We first describe a multi-agent system managing a corporate memory in the form of a corporate semantic web. We then focus on a newly introduced society of agents in charge of wrapping external HTML documents that are relevant to the activities of the organization, by extracting semantic Web annotations using tailored XSLT templates.

Improving travel information access with semantic search application on mobile environment

In last decade, we witness a significant increase in performance of mobile devices. In parallel, the growth of online data and services available on the Web make it become more and more emerging as a gold mine for the tourist guide application. With the inherent mobility and the widely supported Internet connectivity, tourist guide applications on smart phone are currently potential substitutes or supplements to travel book. However, it is a nightmare for tourists to select what are really interesting in a sheer volume of information while mobile devices have limited interactivity due to the inconvenient keyboard and small screen size regarding to computer. Therefore, the goal of our research is to develop a smart tool helping tourists find relevant travel information with minimum effort. This tool, implemented on Android platform, is the main component of STAAR (Semantic Tourist informAtion Access and Recommending), a system that supports request from heterogeneous environments. For the purpose, we describe our ontology formalized in RDFS/OWL to describe travel related information and to support integrating data from Linked data source. Through ontology manipulating web services, our Android application generates dynamic ontology-based user interfaces, allowing tourist to express their need in semantic queries with different levels of complexity, and then get access to relevant information.

Towards Efficient Sport Data Integration through Semantic Annotation

In news genre, the sport domain is one of great interest to audiences on many occasions. The explosion of Internet these days leads to many obstacles for users in searching information due to enormous amount of data collected from multiple media streams. In this case, Semantic Web is believed to bring a solution for information integration. In this paper, we introduce a novel approach for an integration system of sports information using semantic web. Semantic annotation of sport news on the web is a way to bring success to our system. We propose an algorithm to generate semantic annotations of sport news that relies on the ontology. Named entities recognition is improved by integrating the KIM information extraction system with this ontology, which is dedicated for sport domain. The concepts and relations of ontology detected in the text are combined with these entities to capture the semantic. Initial experiments on soccer news demonstrated promising results.

Semantic approach to travel information search and itinerary recommendation

Purpose – The growth of online data and services on the Web have have led to the Web become an indispensable tool for the tourist industry. It is not denied that various approaches bring benefits for visitors, in supporting their searching for tourist attractions, such as interesting places for the visit, eating or staying. However, like a coin has two sides, too much information would present a difficulty for people when planning their journeys. Generally, tourists usually have problems when trying to find satisfactory accommodation if references to nearby restaurants, sights or event locations are lacking. In addition, travelers suffer from the information overload when they look for information about potential destinations, events and related services. Providing relevant and up‐to‐date information for the tourists with different personal interests is still a challenging task for the tourist guide information systems. The purpose of this paper is to propose a semantic approach for searching tourist info...

Integrating open data and generating travel itinerary in semantic-aware tourist information system

The growth of online data and services on the Web make it become more and more emerging as an indispensable tool of traveling for the tourist industry. It is not denied that various approaches bring benefits for visitors in supporting them of searching tourist attractions, such us interested places for the visit, eating or staying. However, like a coin has two sides, too much information would be the difficulty for people when planning their journeys. Generally, tourists usually have problems when finding a satisfied accommodation without a reference to nearby restaurants, sights or event locations. In addition, travelers suffer from the information overload when they look for information about potential destinations, events and related services. Providing the relevant and up-to-date information for the tourists with different personal interests is still a challenging task for the tourist guide information systems. This paper presents a semantic web approach for developing STAAR (Semantic Tourist informAtion Access and Recommending) which is a system that addresses the above mentioned issues. Specifically, it is described how an ontology is designed to represent the travel related information, and to support the integrating data from the open repositories. Relying on this ontology, we propose an algorithm for generating travel itinerary on the Web which is relevant to both criterions of the itinerary length and user interest.

Semantic-Based Recommendation Method for Sport News Aggregation System

News on the Internet today plays an important role in helping people access daily information around the world. News aggregators are websites that collect and provide content from different sources in one location for easy viewing. However, the increasing number of news on the Internet makes it difficult for readers when they desire to access news they are concerned. One solution to this issue is based on employing recommender systems. In this research, we propose a novel method for news recommendation based on a combination of semantic similarity with content similarity between news and implement it as a feature of semantic-based news aggregators BKSport. Experimental results have shown that, a combination of both kind of similarity measures will result in better recommendation than when using either measure separately.

Enhance Matching Web Service Security Policies with Semantic

Web service security policy is a way to add some security restrictions to a web service. Matching web service security policies is hard and important to integrate web services effectively. However, the lack of semantics in WS-SecurityPolicy (WS-SP) hampers the effectiveness of matching the compatibility between security policies of different web services. To enhance matching web service security policies, we propose a semantic approach for specifying and matching the security policies. The approach uses the transformation of WS-SP into an OWL-DL ontology, the definition of a set of semantic relations that can exist between the provider and requestor security concepts, and the algorithm to determine the match level of the provider and requestor security policies. We show how these relations and the matching algorithm lead to more correct and more flexible matching of security policies.

Automatic creation of semantic data about football transfer in sport news

The semantic annotation of textual content is important for the success of many information integration systems. In this paper, we present a method for generating semantic annotations about transfer in football news. Semantic web technologies are applied to extend the knowledge base of KIM platform so that named entities in this specific domain could be recognized. We study and define language models to recognize the semantic relation for football transfers. At the same time, we propose a pronoun recognition method using extraction rules to improve the relation recognition process. The experiment showed promising results on the data set built from Sky Sports news [27]. The precisions achieved in both cases, with and without integration of the pronoun recognition method, are both over 80%. In particular, the latter helps increase the recall value to around 10%.

A novel approach for automatic extraction of semantic data about football transfer in sport news

Purpose – The purpose of this paper is to propose an automatic method to generate semantic annotations of football transfer in the news. The current automatic news integration systems on the Web are constantly faced with the challenge of diversity, heterogeneity of sources. The approaches for information representation and storage based on syntax have some certain limitations in news searching, sorting, organizing and linking it appropriately. The models of semantic representation are promising to be the key to solving these problems. Design/methodology/approach – The approach of the author leverages Semantic Web technologies to improve the performance of detection of hidden annotations in the news. The paper proposes an automatic method to generate semantic annotations based on named entity recognition and rule-based information extraction. The authors have built a domain ontology and knowledge base integrated with the knowledge and information management (KIM) platform to implement the former task (name...