29




Data management in connected environments
Richard Chbeir*

*Universite de Pau et des Pays de l'Adour, Anglet, France




                      Abstract: Nowadays, connected environments impact various application domains (e.g.,
                      energy management, environment monitoring) by offering users a wide array of applications
                      that help them in their everyday lives (e.g., reducing energy wastes in buildings, monitoring air
                      or noise pollution levels in a city). Although these applications seem different, they all rely on
                      an environment, its sensor network, and sensed data in order to detect and handle specific events
                      (e.g., energy waste, traffic congestion, high level of noise, bad air quality). The differences lie
                      in the definition of the targeted events (e.g., high noise different from traffic congestion event),
                      the application domain (e.g., environmental, energy), the sensors/data required for the detection
                      of the events, and the chosen technique for event detection. Event Query Languages (EQL)
                      have been proposed in connected environments to allow users the definition of targeted events.
                      However, existing languages are limited to the definition of event patterns and suffer from the
                      following drawbacks: (i) no consideration of environment, sensor network, and application
                      domain related components; (ii) lack of provided query types (functionality) required for the
                      definition/management of the entire connected environment; (iii) lack of considered data and
                      datatypes (e.g., scalar, multimedia) needed for the definition of specific events; (iv) lack of
                      considered functionality when expressing spatial/temporal constraints; and (v) difficulty in
                      coping with the dynamicity of the environments. To address the aforementioned limitations, I
                      will present in this talk an EQL specifically designed for connected environments, denoted
                      EQL-CE. I will detail its framework, the used language, syntax, and queries. EQL-CE is re-
                      usable and generic. It allows the definition of various connected environment components,
                      offers various query types for data management, and considers various datatypes. I will also
                      present the query optimizer that handles the dynamicity of the environment and
                      spatial/temporal constraints.
     1. Short Biography
   Richard Chbeir received his PhD in Computer                                              Science from the University of INSA DE LYON-
______________________________                                                              FRANCE in 2001and then his Habilitation in
ISIC’21:International Semantic Intelligence Conference, February 25–                        Leading Research degree in 2010 from the
27, 2021, New Delhi, India                                                                  University of Bourgogne. He is currently a Full
✉ : rchbeir@acm.org (Richard Chbeir)                                                        Professor in the Computer Science Department at
                Copyright © 2021 for this paper by the authors. Use permitted
                                                                                            ______________________________
                under Creative Commons License Attribution 4.0 International (CC BY 4.0).   For    more       details     on      recent    works
                CEUR Workshop Proceedings (CEUR-WS.org)                                     see http://scholar.google.co.in/citations?hl=en&user=
                                                                                            Fo6f9hkAAAAJ
                                                                                                      30




the University of Pau & Pays de l'Adour in Anglet     ecosystems. Richard Chbeir has published in
France. He is the head of OpenCEMS industrial         international journals, books, and conferences, and
Chair     (https://opencems.sigappfr.org/).     His   has served on the program committees of several
current research interests are in the areas of Data   international conferences. He is currently the
management, Data semantics, and digital               Chair of the French Chapter ACM SIGAPP.