Towards a Tuplespace-Based Middleware for the Semantic Web

Tolksdorf, Robert; Bontas, Elena Paslaru; Nixon, Lyndon

doi:10.1109/wi.2005.150

Cited by 20 publications

(15 citation statements)

References 27 publications

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“…This is because we want to express general reactions that apply to specific tuples independently of their syntactic structure, which cannot be clearly foreseen at design time. Accordingly, semantic matching can be considered as a proper matching criterion for our coordination infrastructure [Paolucci et al 2002;Bandara et al 2008;Bobillo and Straccia 2008;Tolksdorf et al 2008;Giunchiglia et al 2007].…”

Section: The Spatial Coordination Model Of Chemical Tuple Spacesmentioning

confidence: 99%

Spatial Coordination of Pervasive Services through Chemical-Inspired Tuple Spaces

Viroli

Casadei

Montagna

et al. 2011

ACM Trans. Auton. Adapt. Syst.

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To support and engineer the spatial coordination of distributed pervasive services, we propose a chemical-inspired model, which extends tuple spaces with the ability of evolving tuples mimicking chemical systems, i.e. in terms of reaction and diffusion rules that apply to tuples modulo semantic match. The suitability of this model is studied considering a self-adaptive display infrastructure providing nearby people with several visualisation services (advertisements, news, personal and social content). The key result of this paper is that general-purpose chemical reactions inspired by population dynamics can be used in pervasive applications to enact spatial computing patterns of competition and gradient-based interaction.

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Section: The Spatial Coordination Model Of Chemical Tuple Spacesmentioning

confidence: 99%

Spatial Coordination of Pervasive Services through Chemical-Inspired Tuple Spaces

Viroli

Casadei

Montagna

et al. 2011

ACM Trans. Auton. Adapt. Syst.

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show abstract

“…Therefore, the aforementioned benefits of tuple-based coordination in terms of knowledge-based coordination fade in front of the problems it induces in terms of syntax-for example, two tuples containing the same data may not match due to differences in the tuple structure-and (mostly) of semantics-for example, two tuples representing the same information may not match based on a different syntax adopted. Till now, the problem has been faced according to two different perspectives: (i) by exploiting tuple-based coordination within a middleware for knowledge-intensive environments: for example, Tolksdorf et al (2008) experiments with a tuple-based coordination within Semantic Web middleware, while Nixon et al (2008) survey similar approaches; or, (ii) by enhancing the tuple space abstraction with a semantic interpretation: for example, Nardini et al (2010) extend tuple spaces with a description logic framework so as to equip each tuple, template and operation over tuple spaces with a well-founded semantic interpretation.…”

Section: Coordination In Self-organising Systemsmentioning

confidence: 99%

Coordination models and languages: from parallel computing to self-organisation

Omicini

Viroli

2011

The Knowledge Engineering Review

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Starting from the pioneering work on LINDA and Gamma, coordination models and languages have gone through an amazing evolution process over the years. From closed to open systems, from parallel computing to multi-agent systems and from database integration to knowledgeintensive environments, coordination abstractions and technologies have gained in relevance and power in those scenarios where complexity has become a key factor. In this paper, we outline and motivate 25 years of evolution of coordination models and languages, and discuss their potential perspectives in the future of artificial systems.

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“…Drawing on existing works in the field of coordination models and languages [6,33,34,36], middlewares for context-aware applications [5,16,24], and on models of concurrency and bio-inspired computing [9,22,25], we adopt a model based on the idea of continuously reflecting the presence and activities of components in the pervasive computing system through Live Semantic Annotations (LSAs), which are stored across computational devices, and altogether form a global network of annotations representing the virtual counterpart of the ecosystem. Ecosystem behaviour is regulated by a set of laws, called eco-laws, which act locally on each node and its neighbourhood, combining and manipulating annotations using a chemical style and semantic pattern matching [37,39].…”

Section: Introductionmentioning

confidence: 99%

Injecting Self-Organisation into Pervasive Service Ecosystems

et al. 2012

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Pervasive service ecosystems are a new paradigm for the design of context-aware systems featuring adaptivity and self-awareness. A theoretical and practical framework has been proposed for addressing these scenarios, taking primary inspirations from natural ecosystems and grounding upon two basic abstractions: "live semantic annotations" (LSAs), which are descriptions stored in infrastructure nodes and wrapping data, knowledge, and activities of humans, devices, and services; and "eco-laws", acting as system rules evolving the population of LSAs as if they were molecules subject to chemical-like reactions. In this paper, we aim at deepening how self-organisation can be injected in pervasive service ecosystems in terms This work has been supported by the EU-FP7-FET Proactive project SAPERE Self-aware Pervasive Service Ecosystems, under contract no.256873. of spatial structures and algorithms for supporting the design of context-aware applications. To this end, we start from an existing classification of self-organisation patterns, and systematically show how they can be supported in pervasive service ecosystems, and be composed to generate a self-organising emergent behaviour. A paradigmatic crowd steering case study is used to demonstrate the effectiveness of our approach. S. Montagna (B)·

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Towards a Tuplespace-Based Middleware for the Semantic Web

Cited by 20 publications

References 27 publications

Spatial Coordination of Pervasive Services through Chemical-Inspired Tuple Spaces

Spatial Coordination of Pervasive Services through Chemical-Inspired Tuple Spaces

Coordination models and languages: from parallel computing to self-organisation

Injecting Self-Organisation into Pervasive Service Ecosystems

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