Most cross-lingual speech retrieval assumes intensive knowledge about all involved languages. However, such resource may not exist for some less popular languages. Some applications call for speech retrieval in unknown languages. In this work, we leverage on a quasi-language-independent subword recognizer trained on multiple languages, to obtain an abstracted representation of speech data in an...

Information retrieval is the important work for Electronic Commerce. Ontology-based semantic retrieval is a hotspot of current research. In order to achieve fuzzy semantic retrieval, this paper applies a fuzzy ontology framework to information retrieval system in E-Commerce. The framework includes three parts: concepts, properties of concepts and values of properties, in which property’s value ...

This paper describes preliminary work concerning the creation of a Framework to aid in lexical semantic resource construction. The Framework consists of 9 stages during which various lexical resources are collected, studied, and combined into a single combinatory lexical resource. To evaluate the general Framework it was applied to a small set of English and Arabic resources, automatically comb...

Information Retrieval (IR) in distributed and decentralized environments has become an active field of research during the last years. Recently, Peer-to-Peer (P2P) networks have emerged as an attractive architectural paradigm for IR, both for technical and economic reasons. P2P networks are distributed and self-organizing systems that support resource sharing. For this reasons, they are promisi...

The planning of offshore wind energy projects requires observations over long periods for the establishment speed distributions. In marine environment, high-quality in situ are sparse and restricted to point locations. Numerical modeling is typically used determine spatial variability resource. Synthetic Aperture Radar (SAR) from satellites can be retrieval fields ocean at a high resolution. re...

It is important for us to have a well technological resource sharing system to support our research and development activities. People are used to obtaining information by search engine. However, the information is more and more diverse and complex. Especially in technological resource area, the keywords are very professional and complex. The traditional search engine based on keywords retrieva...

BACKGROUND AND OBJECTIVE Doc'CISMeF (DC) is a semantic search engine used to find resources in CISMeF-BP, a quality controlled health gateway, which gathers guidelines available on the internet in French. Visualization of Concepts in Medicine (VCM) is an iconic language that may ease information retrieval tasks. This study aimed to describe the creation and evaluation of an interface integratin...

Many large-scale scientific experiments are carried out in collaboration with researchers and laboratories located around the world so that they can leverage expertise and high-tech infrastructures present at those locations and collectively perform experiments quicker. Data produced by these experiments are thus replicated and gets cached at multiple geographic locations. This necessitates new...

In a Distributed Information Retrieval system, a user submits a query to a broker, which determines how to yield a given number of documents from all possible resource servers. In this paper, we propose a multi-objective model for this resource selection task. In this model, four aspects are considered simultaneously in the choice of the resource: document’s relevance to the given query, time, ...

there is heavy usage of Internet-based information resource platformsdue to the COVID-19 pandemic. If it can present search results as a list groupsof related terms and context, that would be ideal. An additional enhancement display in classified manner. Therefore, research proposing an effective efficient retrieval system. The methodology adopted follows conventional Information Retrieval (IR)...