This paper presents a module dedicated to the elaboration of linguistic resources for a versatile Information Extraction system. In order to decrease the time spent on the elaboration of resources for the IE system and guide the end-user in a new domain, we suggest to use a machine learning system that helps defining new templates and associated resources. This knowledge is automatically derive...

Computational Scientists often cannot easily access the large amounts of resources their applications require. Legion is a collection of software services that facilitate the secure and easy use of local and non-local resources by providing the illusion of a single virtual machine from heterogeneous, geographically-distributed resources. This paper describes the newest additions to Legion that ...

A cloud is a type of distributed system, it consist of, collection of interconnected and virtualized computers. It offers pool of resources like data, software and infrastructure etc, to the user. So the efficient utilization of cloud resources has become a major challenge in cloud computing. Scheduling in cloud is responsible for selection of best suitable resources for executing a task, by co...

Matrix algorithms, especially sparse matrix methods, play an important role in computational science. The researchers that develop such algorithms (such as linear system solvers, eigensolvers, mathematical optimization, and graph algorithsm) require test matrices that are, ideally, drawn from a large, varied, and realistic test collection. Unfortunately, existing collections (e.g., the Harwell-...

State-of-the-art supercomputers are made up of multiple types of resources. User jobs also have wide spectrum of resource requirements. Hence, a supercomputer can be thought of as a collection of heterogeneous resources with heterogeneous usage requirements from the users. Schedulers for such systems are challenged by several issues like scalability, GPU, topology and energy awareness. We view ...

In this article, we propose to apply Semantic Web technologies to the field of e -learning. Today, the resources available on the web increases significantly. Information Systems Research existing does not allow users to return documents that meet their exact needs expressed by a query on a document collection. To optimize information retrieval, we propose an approach based on the use of domain...

Increasingly services are being deployed over large-scale computational and storage infrastructures. To meet ever-increasing computational demands and to reduce both hardware and system administration costs, these infrastructures have begun to include Internet resources distributed over enterprise and residential broadband networks. As these infrastructures increase in scale to hundreds of thou...

In an environment of rapid technological change, collection managers face the challenge of ensuring that valuable resources remain accessible when there are changes to the technological context in which those resources are embedded. In this context of requiring " accessibility over time " , digital preservation initiatives also demand for interoperability, or as what Hedstrom calls temporal int...