In this letter, we propose an approach to the distributed storage and fusion of data for collective perception in resource-limited robot swarms. We demonstrate our a semantic classification scenario. consider team mobile robots, which each runs pre-trained classifier known accuracy annotate objects environment. provide two main contributions: (i) decentralized, shared structure efficient retrie...

In this paper, we propose an agent-centric approach to resource description and selection in a multiagent information retrieval (IR). In the multiagent system, each agent learns from its experience through its interactions with other agents their capabilities and qualifications. Based on a distributed ontology learning framework, our methodology allows an agent to profile other agents in a dyna...

Research on ranked retrieval of spoken content has assumed the existence of some automated (word or phonetic) transcription. Recently, however, methods have been demonstrated for matching spoken terms to spoken content without the need for language-tuned transcription. This paper describes the first application of such techniques to ranked retrieval, evaluated using a newly created test collect...

We present a knowledge-based system, for skills and talent management, exploiting semantic technologies combined with top-k retrieval techniques. The system provides advanced distinguishing features, including the possibility to formulate queries by expressing both strict requirements and preferences in the requested profile and a semantic-based ranking of retrieved candidates. Based on the kno...

We propose an approach to content-based Distributed Information Retrieval based on the periodic and incremental centralization of full-content indices of widely dispersed and autonomously managed document sources. Inspired by the success of the Open Archive Initiative’s (OAI) Protocol for metadata harvesting, the approach occupies middle ground between content crawling and distributed retrieval...

Water pollution has become one of the most serious issues threatening water environments, as a resource and human health. The urgent effective measures rely on dynamic accurate quality monitoring large scale. Due to their temporal spatial advantages, remote sensing technologies have been widely used retrieve data. With development hyper-spectral sensors, unmanned aerial vehicles (UAV) artificia...

the aim of the present study was to investigate whether and by which mechanism; histamine can induce state-dependent retrieval of passive avoidance task. the pre-training or pre-test intracerebroventricular (i.c.v.) injection of histamine (20µg/mouse) impaired retrieval, when it was tested 24 h later. in the animals, which retrieval was impaired due to histamine pre-training administration, pre...

with the increase of the volume of information and the progress in technology, the deficiency of traditional algorithms for fast information retrieval becomes more clear. when large volumes of data are to be handled, the use of neural network as an artificial intelligent technique is a suitable method to increase the information retrieval speed. neural networks present a suitable representation...

Objectives: The semantic e-learning model aims to be the next generation of as it enables advanced representation, manipulation and re-use learning materials knowledge semantics in efficient online experiences. modeling semantic-based content retrieval for with secured content. This system will provide users access relevant educational resources an easy-to-use, secure, anonymous environment usi...