Semantic IoT Middleware-enabled Mobile Complex Event Processing for Integrated Pest Management

Agricultural domain presents challenges typical of the Cyber-Physical Systems field and the hard-core of information technology industry of the new generation, such as Cloud computing and Internet of Things. In fact, modern agricultural management strongly relies on many different sensing methodologies to provide accurate information about crop, climate, and environmental conditions. In this paper we propose an approach to model a mobile-driven and distributed Complex Event Processing solution which is enabled by an IoT middleware. The proposed framework is robust with reference to contextual and environmental changes also thanks to the exploitation of an ontological model.

[1]  Nicola Guarino,et al.  Formal Ontology and Information Systems , 1998 .

[2]  Muhammad Ahsan,et al.  Knowledge modeling fore-agriculture using ontology , 2014, 2014 International Conference on Open Source Systems & Technologies.

[3]  D. K. Chitre,et al.  Agricuture System based on OntologyAgroSearch , 2012 .

[4]  Liang Hu,et al.  Review of Cyber-Physical System Architecture , 2012, 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops.

[5]  Aditi Sharan,et al.  Ontology development for agriculture domain , 2015, 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom).

[6]  Mary Louise Flint,et al.  Introduction to Integrated Pest Management , 1981, Springer US.

[7]  Mike Uschold,et al.  A Framework for Understanding and Classifying Ontology Applications , 1999 .

[8]  Siobhán Clarke,et al.  Middleware for Internet of Things: A Survey , 2016, IEEE Internet of Things Journal.

[9]  Jeffrey D. Ullman,et al.  Introduction to Automata Theory, Languages and Computation , 1979 .

[10]  Richard L. Horne,et al.  World employment and social outlook : trends 2023 , 2016 .

[11]  B. J. Ferro Castro,et al.  Pattern-Oriented Software Architecture: A System of Patterns , 2009 .

[12]  Tommaso Di Noia,et al.  Ontology-based Reflective Iot Middleware-Enabled Agriculture Decision Support System , 2016, SWAT4LS.

[13]  Frank Buschmann,et al.  Pattern-Oriented Software Architecture, a Pattern Language for Distributed Computing , 2007 .

[14]  D. Luckham The Power of Events , 2002 .

[15]  Athula Ginige,et al.  Designing a Farmer Centred Ontology for Social Life Network , 2013, DATA.

[16]  Jing Long Gao,et al.  Application of Ontology Technology in Agricultural Information Retrieval , 2013 .

[17]  Yifan Bo,et al.  The Application of Cloud Computing and the Internet of Things in Agriculture and Forestry , 2011, 2011 International Joint Conference on Service Sciences.

[18]  Sanjay Chaudhary,et al.  Agro advisory system for cotton crop , 2015, 2015 7th International Conference on Communication Systems and Networks (COMSNETS).

[19]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993 .

[20]  Tommaso Di Noia,et al.  Context-Aware Design of Reflective Middleware in the Internet of Everything , 2016, STAF Workshops.

[21]  Yong Yang,et al.  Ontology-based Agricultural Knowledge Acquisition and Application , 2007, CCTA.

[22]  Carole A. Goble,et al.  Ontologies in Bioinformatics , 2004, Handbook on Ontologies.

[23]  Disraelly Hander G. Pereira,et al.  A pragmatic approach for sustainable development based on semantic web services , 2012, IIWAS '12.

[24]  Ghofrane Fersi,et al.  Middleware for Internet of Things: A Study , 2015, 2015 International Conference on Distributed Computing in Sensor Systems.