DOMAINE : Big data MOTS-­‐CLES : Extraction de connaissances et recherche d'information pour les données spatiales, temporelles et thématiques KEYWORDS: Knowledge discovery and information retrieval for spatial, temporal, and topic data

Most Information Retrieval models take documents as Bagof-Words and are thereby bound to the language of the documents. In this paper, we present an approach using Linked Open Data resources, i.e. URIs, as interlingual document representations. Documents and queries are summarized by the resources they contain. We show the applicability of our approach for multilingual retrieval with a case stu...

Oregon Health & Science University participated in both the medical retrieval and medical annotation tasks of ImageCLEF 2006. Our efforts in the retrieval task focused on manual modification of query statements and fusion of results from textual and visual retrieval techniques. Our results showed that manual modification of queries does improve retrieval performance, while data fusion of textua...

In this article, two deductive languages are introduced: the language Xcerpt, for querying data and reasoning with data on the (Semantic) Web, and the language XChange, for evolution and reactivity on the (Semantic) Web. A small application scenario is given as a motivation for these languages.

This paper discusses the Text REtrieval Conferences (TREC) programme as a major enterprise in information retrieval research. It reviews its structure as an evaluation exercise, characterises the methods of indexing and retrieval being tested within it in terms of the approaches to system performance factors these represent; analyses the test results for solid, overall conclusions that can be d...

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...

content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. the challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. hence, in this paper, an image retrieval system is introduced that provided two kind of qu...

Article history: Received 19 August 2014 Received in revised form 19 September 2014 Accepted 29 November 2014 Available online 15 December 2014