Skip to Main content Skip to Navigation
Journal articles

ISEE: A heterogeneous information system for event explainability in smart connected environments

Abstract : Smart connected environments as well as digital contents are more and more present in our daily life. The former monitors various data produced by sensors, while the latter contains valuable additional information (e.g., technical data sheets, maintenance reports, employee register). When an event occurs, users generally want to figure out why this event happened. Unfortunately, most information systems in connected environments do not combine sensor network data with document corpora. Consequently, users have to look for an event explanation by querying both complementary sources with different systems, which is indeed very tedious, time consuming and requires a huge compilation effort. In this article, we apply the 5W1H model (”What? Who? Where? When? Why? How?”), commonly used in question-answering, to bridge the gap between sensor networks and document corpora. Our framework entitled ISEE (Information System for Event Explainability) offers an original approach that (i) defines events along four dimensions, (ii) interconnects semantic information coming from sensor networks and documents with 5W1H connections, and (iii) provides to the user a set of preliminary event explanation according to 5W1H answers. A real motivating use-case based on a smart-building is presented and experimental results are discussed.
Complete list of metadata

https://hal-univ-pau.archives-ouvertes.fr/hal-03341555
Contributor : Sébastien Laborie <>
Submitted on : Saturday, September 11, 2021 - 5:32:22 AM
Last modification on : Sunday, September 12, 2021 - 3:12:46 AM

Identifiers

Collections

Citation

Nabila Guennouni, Christian Sallaberry, Sébastien Laborie, Richard Chbeir, Elio Mansour. ISEE: A heterogeneous information system for event explainability in smart connected environments. Internet of Things, Elsevier, 2021, pp.100457. ⟨10.1016/j.iot.2021.100457⟩. ⟨hal-03341555⟩

Share

Metrics

Record views

37