Search

The heterogeneity and the increasing amount of the news published on the web create challenges in accessing them. In the authors' previous studies, they introduced a semantic web-based sports news aggregation system called BKSport, which manages to generate metadata for every news item. Providing an intuitive and expressive way to retrieve information and exploiting the advantages of semantic search technique is within their consideration. In this paper, they propose a method to transform natural language questions into SPARQL queries, which could be applied to existing semantic data. This method is mainly based on the following tasks: the construction of a semantic model representing a question, detection of ontology vocabularies and knowledge base elements in question, and their mapping to generate a query. Experiments are performed on a set of questions belonging to various categories, and the results show that the proposed method provides high precision.

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 80p. In particular, the latter helps increase the recall value to around 10p.

This paper presents the process of building a semantic search application in the field of the Vietnamese history. In particular, the design of ontology in the field of history will come up with three main issues: the historical ontology construction with Vietnamese history books or documents as an input, managing change entities and the storage method of time entities in historical ontology. The experimental result of this article is the VHO web-based application which allows users to ask semantic questions about historical objects.

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.

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.

International audience; 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.