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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...

The rapid development of mobile computing, social network and smart phones have led to a surge in photograph data. Efficient exploiting, searching and reusing this data have become a problem gaining increasing concerns. However, current systems are still encountering many challenges from the differences in perceiving the meaning of a photograph between human and machines. Among many different approaches, semantic web has recently been proven to be robust enough to overcome these challenges. In this paper, we propose the semantic web approach to develop a system which reduces above differences by accommodating an additional layer that annotates metadata with the original photo to describe important and useful information for the user in both content and context semi automatically. We use a mobile application that connects with a semantic web application. With above solution, the interaction of user of the photograph system becomes simple, friendly and quickly more than ever.

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.

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.

The information explosion especially on the World Wide Web has made it become the most immense information source and a gold mine for corporations. In the field of technology monitoring, it is very important to be able to get relevant information from heterogeneous sources on the Web. The arrival of Semantic Web technologies promises intelligent retrieval and access to information through the use of semantic annotations based on relevant ontologies. In a scenario of technology monitoring, the automatic generation of semantic annotations of Web document has a significant role. In this article, after describing a new approach based on Semantic Web technologies for building a technology monitoring system, we present an ontology-based algorithm for automatic search and annotation of Web documents. This algorithm will be encapsulated by agents in a multi agent technology monitoring system.

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.