E-learning refers to the use of electronic technologies to deliver and facilitate training anytime, anyplace. The major challenge in e-learning is that the learner is unable to extract relevant information on the web. Ontology-based semantic retrieval is a hotspot of current research. Ontologies play an important role in the development of knowledge. This paper proposes ontology based semantic ...

Although more and more language pairs are covered by machine translation services, there are still many pairs that lack translation resources. Cross-language information retrieval (CLIR) is an application which needs translation functionality of a relatively low level of sophistication since current models for information retrieval (IR) are still based on a bag-of-words. The Web provides a vast...

The main limitations of the existing high level image retrieval approaches concern the high dependance on an external reliable resource (domain ontologies, learning sets, etc. ) and a model for mapping semantic and visual information. In this paper, we propose an image retrieval system integrating semantic and visual features. The idea is to automatically build a modular ontology for semantic i...

Processes retrieve a variety of resources, such as files, from the operating system to function. However, securely accessing resources has proven to be a challenging task, accounting for 10-15% of vulnerabilities reported each year. Current defenses address only a subset of these vulnerabilities in ad-hoc and incomplete ways. In this paper, we provide a comprehensive defense against vulnerabili...

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...

MRIM research group has participated in two tasks (ad-hoc image-based retrieval and case-based retrieval) of the ImageCLEF2012 Medical Retrieval track. In our contribution, we study the frequency shift problem that happens when using concepts instead of words as indexing terms. The main goal of our experiments is to check the validity of our new counting strategy of concepts (Relative Count), w...

In this paper, we propose four peer-to-peer models for contentbased music information retrieval (CBMIR) and carefully evaluate them on network load, retrieval time, system update and robustness qualitatively and quantitatively. And we bring forward an algorithm to improve the speed of CBP2PMIR and a simple but effective method to filter out the replica in the final results. And we present the a...

Bilingual term lists are extensively used as a resource for dictionary-based Cross-Language Information Retrieval (CLIR), in which the goal is to find documents written in one natural language based on queries that are expressed in another. This paper identifies eight types of terms that affect retrieval effectiveness in CLIR applications through their coverage by general-purpose bilingual term...

Large-scale computing systems are attractive for networked applications by providing scalable infrastructures. To launch distributed data-intensive computing applications in such infrastructures, communication cost, for example to transfer data files to compute nodes, can be a critical challenge due to point-topoint bandwidth scarcity. One way to improve communication performance is to employ p...