This paper presents a demonstration of a platform for data Collection and Aggregation for vehicular NETworks (CANET) developed by France Telecom R&D. The aim of this platform is to collect a set of information issued from different data sources (sensors, GPS,...) and aggregate them in a reliable manner. Collected data is then stored in an MySQL database and presented though a user-friendly web ...

This paper presents the application of ant algorithm to improve public transport route in the metropolitan area of Guadalajara. We use a methodology with an eight-step sequence in which it is possible to: 1. Identify the problem, 2. Identify the sources of information, 3. Prepare the census to collect the data. 4. Raise the information, 5. Analyze the data, 6. Treat the information, 7. Implemen...

The study reported in this paper is part of an ongoing research project examining Asian immigrants’ information behaviour in South Australia. Involving eight Asian participants, the pilot study was conducted from March to April 2013. The study used questionnaires, photovoice, and interviews to collect data relating to participants’ information needs, information sources, and information grounds...

We consider the problem in which we must fuse individual lists of retrieved documents o obtain a single ordered list of recommended documents from multiple information sources. A parameterized procedure is presented. A formulation of the multiple list fusion problem in terms of mathematical programming is also presented.

In intelligent information processing tasks such as pattern recognition and information retrieval (IR), probabilistic models are now widely used because they can represent ambiguities of observed data and are robust against noises. Parameters of probabilistic models are statistically estimated (learned) from given training data. However, when the training data contain an insufficient amount of ...

Information Extraction is the automatic extraction of facts from text, which includes detection of named entities, entity relations and events. Conventional approaches to Information Extraction try to find syntactic patterns based on deep processing of text, such as partial or full parsing. The problem these solutions have to face is that as deeper analysis is used, the accuracy of the result d...

The overwhelming amount of information sources now available through the internet has increased the need to combine or integrate the data retrieved from these sources in an intelligent and efficient manner. A desirable approach for information integration would be to have a single interface, like the SIMS information broker [1], which allows access to multiple information sources. An example ap...