A Grid-Based Infrastructure for Distributed Retrieval

Simeoni, Fabio; Candela, Leonardo; Kakaletris, George; Sibeko, Mads; Pagano, Pasquale; Papanikos, Giorgos; Polydoras, Paul; Ioannidis, Yannis; Aarvaag, Dagfinn; Crestani, Fábio

doi:10.1007/978-3-540-74851-9_14

Cited by 13 publications

(8 citation statements)

References 22 publications

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“…PARTHENOS is committed to CRM-based integration and decided to use X3ML framework to support mappings, proving again its wide applicability and value. Towards this direction, X3ML framework has been integrated in the gCube infrastructure [55], and is publicly available. 33 In addition, X3ML has been used for mappings of the Europeana Data Model [56] and LIDO [47] to CIDOC CRM, whereas VRE4EIC [57] will use the X3ML framework to support mappings to CERIF [58].…”

Section: X3ml Exploitation In Eu Projectsmentioning

confidence: 99%

X3ML mapping framework for information integration in cultural heritage and beyond

et al. 2016

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The aggregation of heterogeneous data from different institutions in cultural heritage and e-science has the potential to create rich data resources useful for a range of different purposes, from research to education and public interests. In this paper, we present the X3ML framework, a framework for information integration that handles effectively and efficiently the steps involved in schema mapping, uniform resource identifier (URI) definition and generation, data transformation, provision and aggregation. The framework is based on the X3ML mapping definition language for describing both schema mappings and URI generation policies and has a lot of advantages when compared with other relevant frameworks. We describe the architecture of the framework as well as details on the various available components. Usability aspects are discussed and performance metrics are demonstrated. The high impact of our work is B Yannis Marketakis

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Section: X3ml Exploitation In Eu Projectsmentioning

confidence: 99%

X3ML mapping framework for information integration in cultural heritage and beyond

et al. 2016

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“…A set of facilities providing its users with an integrated discovery and access to heterogeneous data completes the offering of this bundle. In particular, the Information Object Discovery application offers facilities for retrieving information objects from multiple collections and information systems in a seamless way [18]. It offers both a Google-like approach and an advanced search allowing users to characterise in detail the information objects they are looking for.…”

Section: Connectcubementioning

confidence: 99%

“…The data source offers access to 126,000 Species, 27,300 Common names, 11,900 Pictures, 18,200 References aggregated thanks to the effort of hundred collaborators.…”

Section: Sealifebasementioning

confidence: 99%

Realising Virtual Research Environments by Hybrid Data Infrastructures: the D4Science Experience

Candela¹,

Pagano²,

Castelli³

et al. 2014

Proceedings of International Symposium on Grids and Clouds (ISGC) 2014 — PoS(ISGC2014)

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Modern science tend to be more than ever multidisciplinary, collaborative and demanding. Scientific investigations span the boundaries of single institutions, disciplines, and countries. In order to serve these scenarios innovative working environments are needed. In this paper it is presented an innovative environment consisting of an Hybrid Data Infrastructure supporting the dynamic deployment and operation of an array of Virtual Research Environments, each tailored to serve the needs of a scientific community towards a research endeavour. The paper reports on the enabling technology and how it has been deployed to realise the D4Science infrastructure and serve the needs of different communities.

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“…The DIR Master is used to optimise the evaluation of contentbased queries across a number of distributed target collections, and is just one component of a broader framework for service-based Distributed Information Retrieval (DIR) [6]. The service identifies the collections that appear to be the most promising candidates for the evaluation of a given query (collection selection).…”

Section: A Case Studymentioning

confidence: 99%

Matchmaking for covariant hierarchies

Simeoni

Lievens

2009

Proceedings of the 8th Workshop on Aspects, Components, and Patterns for Infrastructure Software

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We describe a model of matchmaking suitable for the implementation of services, rather than their for their discovery and composition. In the model, processing requirements are modelled by client requests and computational resources are software processors that compete for request processing as the covariant implementations of an open service interface. Matchmaking then relies on type analysis to rank processors against requests in support of a wide range of dispatch strategies. We relate the model to the autonomicity of service provision and briefly report on its deployment within a production-level infrastructure for scientific computing. Categories and Subject Descriptors MOTIVATIONThe dynamic resolution of processing requirements against pools of computational resources is a key requirement for distributed computing infrastructures. Such matchmaking supports the automatic composition of service resources that * This author is partly funded by the European Commission in the context of the D4Science project, infra-2007-1.2.2 of the FP7 IST priority. † This author is supported by a grant from the Science Foundation Ireland.Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. align with structural, semantic, and non-functional requirements [2]. Grid-based infrastructures use it to allocate clusters of storage and processors for the execution of highperformance and high-throughput applications [4]. In our experience with the design and operation of gCube 1 , a production-level European-funded infrastructure for scientific research collaborations, matchmaking is routinely employed against software and hardware resources alike.It is in the context of this work that we have come to consider a less conventional application of matchmaking within the local boundaries of service implementations. Here, we take processing requirements to be implicitly modelled by service requests, and interpret computational resources as software processors that implement the service interface and compete for request processing. We assume that the interface is open to covariant specialisation of input and output domains, and that the processors mirror the specialisation along one or more inheritance hierarchies. We then rely on a matchmaker to analyse the runtime types that annotate the graph structure of requests, and to infer from them a ranking of processors based on how specifically they can process the requests. Finally, we assume the application of servicespecific dispatch policies over the ranking, from those that select the most specific processor to those that broadcast requests to all processors (cf. Figure 1).We believe that the approach has non-trivial implications f...

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A Grid-Based Infrastructure for Distributed Retrieval

Cited by 13 publications

References 22 publications

X3ML mapping framework for information integration in cultural heritage and beyond

X3ML mapping framework for information integration in cultural heritage and beyond

Realising Virtual Research Environments by Hybrid Data Infrastructures: the D4Science Experience

Matchmaking for covariant hierarchies

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