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Alirezaie, Marjan
Publications (2 of 2) Show all publications
Santini, M., Jönsson, A., Strandqvist, W., Cederblad, G., Nyström, M., Alirezaie, M., . . . Kristoffersson, A. (2019). Designing an Extensible Domain-Specific Web Corpus for “Layfication”: A Case Study in eCare at Home. In: Maya Dimitrova (Bulgarian Academy of Sciences, Bulgaria) and Hiroaki Wagatsuma (Kyushu Institute of Technology, Japan) (Ed.), Cyber-Physical Systems for Social Applications: (pp. 98-155). Hershey, PA, USA: IGI Global
Open this publication in new window or tab >>Designing an Extensible Domain-Specific Web Corpus for “Layfication”: A Case Study in eCare at Home
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2019 (English)In: Cyber-Physical Systems for Social Applications / [ed] Maya Dimitrova (Bulgarian Academy of Sciences, Bulgaria) and Hiroaki Wagatsuma (Kyushu Institute of Technology, Japan), Hershey, PA, USA: IGI Global , 2019, p. 98-155Chapter in book (Refereed)
Abstract [en]

In the era of data-driven science, corpus-based language technology is an essential part of cyber physical systems. In this chapter, the authors describe the design and the development of an extensible domain-specific web corpus to be used in a distributed social application for the care of the elderly at home. The domain of interest is the medical field of chronic diseases. The corpus is conceived as a flexible and extensible textual resource, where additional documents and additional languages will be appended over time. The main purpose of the corpus is to be used for building and training language technology applications for the “layfication” of the specialized medical jargon. “Layfication” refers to the automatic identification of more intuitive linguistic expressions that can help laypeople (e.g., patients, family caregivers, and home care aides) understand medical terms, which often appear opaque. Exploratory experiments are presented and discussed.

Place, publisher, year, edition, pages
Hershey, PA, USA: IGI Global, 2019
National Category
Language Technology (Computational Linguistics)
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-43407 (URN)10.4018/978-1-5225-7879-6.ch006 (DOI)9781522593454 (ISBN)9781522578802 (ISBN)
Projects
E-care@home
Funder
Knowledge Foundation, 20140217
Available from: 2019-05-09 Created: 2019-05-09 Last updated: 2019-05-09Bibliographically approved
Alirezaie, M., Renoux, J., Köckemann, U., Kristoffersson, A., Karlsson, L., Blomqvist, E., . . . Loutfi, A. (2017). An Ontology-based Context-aware System for Smart Homes: E-care@home. Sensors, 17(7), Article ID 1586.
Open this publication in new window or tab >>An Ontology-based Context-aware System for Smart Homes: E-care@home
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2017 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 17, no 7, article id 1586Article in journal, Editorial material (Refereed) Published
Abstract [en]

Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. We focus on integrating measurements gathered from heterogeneous sources by using ontologies in order to enable semantic interpretation of events and context awareness. Activities are deduced using an incremental answer set solver for stream reasoning. The paper demonstrates the proposed framework using an instantiation of a smart environment that is able to perform context recognition based on the activities and the events occurring in the home.

Place, publisher, year, edition, pages
Basel: MDPI AG, 2017
Keywords
ambient assisted living; context awareness; Internet of Things; ontologies; activity recognition; smart homes
National Category
Computer Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-43378 (URN)10.3390/s17071586 (DOI)000407517600125 ()2-s2.0-85021911117 (Scopus ID)
Projects
E-Care@Home
Funder
Knowledge Foundation
Available from: 2019-05-09 Created: 2019-05-09 Last updated: 2019-05-09Bibliographically approved
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