Abstract Query Expansion Methods are proposed to solve many problems of information retrieval systems, but most of these methods do not use the information of interactions between the users and the system. In our approach, we applied a Query Recommendation Algorithm on a list of past user queries, to extract the most associated queries to the input query, and used it... Query Expansion Methods are proposed to solve many problems of information retrieval systems, but most of these methods do not use the information of interactions between the users and the system. In our approach, we applied a Query Recommendation Algorithm on a list of past user queries, to extract the most associated queries to the input query, and used it in a Probabilistic Query Expansion method, that is constructed as a language model to search in set of candidate terms for the most relevant terms for the initial query that we have to expand. The output of this approach is a table of terms that are candidates for the expansion of the user query, and their values of correlation with the whole query. We did our experiments using the database CISI of the standard collection of test SMART. The results show that the best values are reached by adding fifteen terms to the input queries, using the five most relevant documents of the input query and the five most relevant documents for each of the recommended queries used, for short and long queries. Our experiments shows also, that for short queries we need to use just the best recommended query in the process of expansion to have a very high value of the Interpolated Average Precision (IAP), but concerning long queries we need to employ also the second best recommended query to have the highest value of IAP. The final experiment was a comparison between our approach and the Rocchio Algorithm, and it shows that our approach gives best results except in the case of using four Recommended Queries (RQs) for short input queries. Read More Read Less

Abstract Additively to the emergence of wireless networking, high technology and reliability of mobile devices have enabled the widespread use of mobile computing. Currently, this last is in vogue and booming. Today, the combination of mobile networks with Web Services called “Mobile Web Service”, opening a promising horizon for the economy. They offer (Mobile Web Service) new personalized services to consumers... Additively to the emergence of wireless networking, high technology and reliability of mobile devices have enabled the widespread use of mobile computing. Currently, this last is in vogue and booming. Today, the combination of mobile networks with Web Services called “Mobile Web Service”, opening a promising horizon for the economy. They offer (Mobile Web Service) new personalized services to consumers on their mobile devices. In this paper, we propose the integration of two modern service technologies: Web Services and Mobile Agents. This integration enables wireless users to access and invoke semantically enriched Web services without the need for simultaneous and online presence of the service requestor. Furthermore, in order to improve the capabilities of Service registries, we exploit the advantages offered by the Semantic Web framework. Specifically, we use enhanced registries enriched with semantic information that provide semantic matching to service queries and published service descriptions. In addition, we will consider the information defining the context of the user and the Web service in order to best satisfy the user request. Read More Read Less

Abstract Web Monitoring is an important task for crime detection and crime investigation. This paper describes the rationale, functionality and the architecture of the MPI system, which was developed for Web information monitoring based on advanced semantic scripts based on the Conceptual Dependency model.... Web Monitoring is an important task for crime detection and crime investigation. This paper describes the rationale, functionality and the architecture of the MPI system, which was developed for Web information monitoring based on advanced semantic scripts based on the Conceptual Dependency model. Read More Read Less

Abstract Natural languages all over the world are context- based. There is inherent vagueness present in the common usage of language, but it is easily understood by people because they can decipher the context of the communication easily. Emails are an extension of face-to-face communication and many elements of ambiguity are present in the language used within the body of emails.... Natural languages all over the world are context- based. There is inherent vagueness present in the common usage of language, but it is easily understood by people because they can decipher the context of the communication easily. Emails are an extension of face-to-face communication and many elements of ambiguity are present in the language used within the body of emails. In a computer based application to extract the ontologies for multilingual emails, it is important to disambiguate the sense of the verb, noun and adjective in a sentence develop correct hierarchies of relations and concepts. We propose to use a fuzzy logic based system as it is quite suitable for identifying and addressing the vagueness and ambiguity in the natural languages in the context of email ontologies. For various domains of emails like ‘Meeting & Schedules’, ‘Comments &Discussions’ etc., we have developed fuzzy rules and corresponding associations. These are used to develop an efficient learning model for email ontologies and incorporate in the JAPE pattern rules for extraction of appropriate and context aware concepts and relations. Implementation of fuzzy logic improves the efficiency and simplicity of the design process. In this research work we have tried to tackle the ambiguity of pronouns which act as important agents in ontology development. This results in accurate representation of ontologies in various domains of emails. Read More Read Less

Abstract A social network means a social structure made up of a group of actors (such as individuals or organizations) and the dyadic communication ties between these actors. The social network perspective provides a clear way of analyzing the structure of whole social entities. The study of these structures uses social network analysis to identify local and global patterns, locate influential... A social network means a social structure made up of a group of actors (such as individuals or organizations) and the dyadic communication ties between these actors. The social network perspective provides a clear way of analyzing the structure of whole social entities. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics. Currently, social network activity owns the hottest topic in people’s social life. The real social network system belongs to the complex physics model and data-mining area. Social networks, like facebook.com, myspace.com and twitter.com, are realtime complex systems. Author tries to introduce a complex model [1] to predict the life cycle of the social network. Read More Read Less