Approximate semantic matching of heterogeneous events

Hasan, Souleiman; Ó’Riain, Seán; Curry, Edward

doi:10.1145/2335484.2335512

Cited by 49 publications

(38 citation statements)

References 23 publications

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“…This is also aligned with scenarios where the event producer has little assumptions on information needs of the consumers and where decoupling is the norm. This adds to our previous work on loose semantic coupling and approximate matching in event processing systems [14].…”

Section: Unified and Native Enrichment Modelmentioning

confidence: 77%

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Towards unified and native enrichment in event processing systems

Hasan

Ó’Riain

Curry

2013

Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems

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Events are encapsulated pieces of information that flow from one event agent to another. In order to process an event, additional information that is external to the event is often needed. This is achieved using a process called event enrichment. Current approaches to event enrichment are external to event processing engines and are handled by specialized agents. Within large-scale environments with high heterogeneity among events, the enrichment process may become difficult to maintain. This paper examines event enrichment in terms of information completeness and presents a unified model for event enrichment that takes place natively within the event processing engine. The paper describes the requirements of event enrichment and highlights its challenges such as finding enrichment sources, retrieval of information items, finding complementary information and its fusion with events. It then details an instantiation of the model using Semantic Web and Linked Data technologies. Enrichment is realised by dynamically guiding a spreading activation algorithm in a Linked Data graph. Multiple spreading activation strategies have been evaluated on a set of Wikipedia events and experimentation shows the viability of the approach.

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Section: Unified and Native Enrichment Modelmentioning

confidence: 77%

“…Matching over partially complete events would need to account for the still missing information. This provides a good motivation for approximate matching in event processing systems which was investigated previously by the authors [14] based on the need for loose semantic coupling in heterogeneous systems.…”

Section: Approximation In Event Processing Enginesmentioning

confidence: 91%

Towards unified and native enrichment in event processing systems

Hasan

Ó’Riain

Curry

2013

Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems

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“…Therefore, we are researching on techniques that support other types of databases and not just triple store. Event enrichment is an important activity in our approach, therefore, we are also investigating native approaches to event enrichment [9] and approximate semantic event-processing [8] techniques and determining how this would effect on-the-fly cube generation. We are also working on improving the ontology, implementation and our methodology to generate data cubes on-the-fly in minimum time possible.…”

Section: Discussionmentioning

confidence: 99%

On-the-fly generation of multidimensional data cubes for web of things

Mehdi

Sahay

Derguech

et al. 2013

Proceedings of the 17th International Database Engineering &Amp; Applications Symposium on - IDEAS '13

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The dynamicity of sensor data sources and publishing realtime sensor data over a generalised infrastructure like the Web pose a new set of integration challenges. Semantic Sensor Networks demand excessive expressivity for efficient formal analysis of sensor data. This article specifically addresses the problem of adapting data model specific or contextspecific properties in automatic generation of multidimensional data cubes. The idea is to generate data cubes onthe-fly from syntactic sensor data to sustain decision making, event processing and to publish this data as Linked Open Data.

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“…Other works [45,46] share our motivation and propose a vocabulary free approach for an approximate semantic matching of events to tackle the challenges (e.g., schema maintenance, model agreement) associated to the semantic heterogeneity of IoT environments. However, their work focuses on event publishing and matching, relying in thesaurus and Wordnet to define a semantic metric.…”

Section: Service Discovery For Iot Environmentsmentioning

confidence: 99%

On the application of contextual IoT service discovery in Information Centric Networks

Quevedo

Antunes

Corujo

et al. 2016

Computer Communications

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The continuous flow of technological developments in communications and electronic industries has led to the growing expansion of the Internet of Things (IoT). By leveraging the capabilities of smart networked devices and integrating them into existing industrial, leisure and communication applications, the IoT is expected to positively impact both economy and society, reducing the gap between the physical and digital worlds. Therefore, several e↵orts have been dedicated to the development of networking solutions addressing the diversity of challenges associated with such a vision. In this context, the integration of Information Centric Networking (ICN) concepts into the core of IoT is a research area gaining momentum and involving both research and industry actors. The massive amount of heterogeneous devices, as well as the data they produce, is a significant challenge for a wide-scale adoption of the IoT. In this paper we propose a service discovery mechanism, based on Named Data Networking (NDN), that leverages the use of a semantic matching mechanism for achieving a flexible discovery process. The development of appropriate service discovery mechanisms enriched with semantic capabilities for understanding and processing context information is a key feature for turning raw data into useful knowledge and ensuring the interoperability among di↵erent devices and applications. We assessed the performance of our solution through the implementation and deployment of a proof-of-concept prototype. Obtained results illustrate the potential of integrating semantic and ICN mechanisms to enable a flexible service discovery in IoT scenarios. IntroductionIn the last few years, the coupling of networking communication capabilities and devices with disparate characteristics and capabilities (e.g., sensors, actuators) has prompted di↵erent actors (ranging from academia, to service providers, manufacturers and operators) into the development of solutions towards an Internet of Things (IoT). These solutions are able to remotely exploit the sensing and actuating capabilities of such devices and convey them into communicating and processing platforms, empowering di↵erent kinds of "smart" scenarios [1,2]. The added value generated by bridging the physical and digital worlds has contributed to a continuously increasing massification of connected devices and generated information exchanges ([3] indicates 7.3 billion Machine-to-Machine (M2M) networked devices by 2018, globally), raising connectivity provisioning and operation concerns at all levels. The stringent new requirements placed over the underlying networking fabric to support this connectivity explosion have prompted the need for ground-breaking ideas and solutions, able not only to support these challenges, but also to confer the capability and flexibility to better face future challenges and requirements.Information Centric Networking (ICN) [4,5] is an emerging networking paradigm that has content at the centre of the networking functions, shifting from the curre...

show abstract

Approximate semantic matching of heterogeneous events

Cited by 49 publications

References 23 publications

Towards unified and native enrichment in event processing systems

Towards unified and native enrichment in event processing systems

On-the-fly generation of multidimensional data cubes for web of things

On the application of contextual IoT service discovery in Information Centric Networks

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