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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 and Hiroaki Wagatsuma (Ed.), Cyber-Physical Systems for Social Applications: (pp. 98-155). Hershey, PA, USA: IGI Global
Öppna denna publikation i ny flik eller fönster >>Designing an Extensible Domain-Specific Web Corpus for “Layfication”: A Case Study in eCare at Home
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2019 (Engelska)Ingår i: Cyber-Physical Systems for Social Applications / [ed] Maya Dimitrova and Hiroaki Wagatsuma, Hershey, PA, USA: IGI Global, 2019, s. 98-155Kapitel i bok, del av antologi (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Hershey, PA, USA: IGI Global, 2019
Nationell ämneskategori
Språkteknologi (språkvetenskaplig databehandling)
Forskningsämne
Datavetenskap
Identifikatorer
urn:nbn:se:liu:diva-156964 (URN)10.4018/978-1-5225-7879-6.ch006 (DOI)9781522593454 (ISBN)9781522578802 (ISBN)
Projekt
E-care@home
Forskningsfinansiär
KK-stiftelsen, 20140217
Tillgänglig från: 2019-05-17 Skapad: 2019-05-17 Senast uppdaterad: 2019-05-17Bibliografiskt granskad
Dórea, F. C., Vial, F., Hammar, K., Lindberg, A., Lambrix, P., Blomqvist, E. & Revie, C. W. (2019). Drivers for the development of an Animal Health Surveillance Ontology (AHSO). Preventive Veterinary Medicine, 166(1), 39-48
Öppna denna publikation i ny flik eller fönster >>Drivers for the development of an Animal Health Surveillance Ontology (AHSO)
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2019 (Engelska)Ingår i: Preventive Veterinary Medicine, ISSN 0167-5877, E-ISSN 1873-1716, Vol. 166, nr 1, s. 39-48Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Comprehensive reviews of syndromic surveillance in animal health have highlighted the hindrances to integration and interoperability among systems when data emerge from different sources. Discussions with syndromic surveillance experts in the fields of animal and public health, as well as computer scientists from the field of information management, have led to the conclusion that a major component of any solution will involve the adoption of ontologies. Here we describe the advantages of such an approach, and the steps taken to set up the Animal Health Surveillance Ontological (AHSO) framework. The AHSO framework is modelled in OWL, the W3C standard Semantic Web language for representing rich and complex knowledge. We illustrate how the framework can incorporate knowledge directly from domain experts or from data-driven sources, as well as by integrating existing mature ontological components from related disciplines. The development and extent of AHSO will be community driven and the final products in the framework will be open-access.

Ort, förlag, år, upplaga, sidor
Elsevier, 2019
Nyckelord
syndromic surveillance classification, vocabulary, terminology, standards
Nationell ämneskategori
Datavetenskap (datalogi) Veterinärmedicin
Identifikatorer
urn:nbn:se:liu:diva-155036 (URN)10.1016/j.prevetmed.2019.03.002 (DOI)000465055100006 ()30935504 (PubMedID)
Forskningsfinansiär
Vinnova
Anmärkning

Funding agencies: Swedens innovation agency (VINNOVA)

Tillgänglig från: 2019-03-09 Skapad: 2019-03-09 Senast uppdaterad: 2019-07-26Bibliografiskt granskad
Alirezaie, M., Hammar, K., Blomqvist, E., Nyström, M. & Ivanova, V. (2018). SmartEnv Ontology in E-care@home. In: Maxime Lefrançois, Raúl Garcia Castro, Amélie Gyrard, Kerry Taylor (Ed.), SSN 2018 - Semantic Sensor Networks Workshop: Proceedings of the 9th International Semantic Sensor Networks Workshopco-located with 17th International Semantic Web Conference (ISWC 2018). Paper presented at 9th International Semantic Sensor Networks Workshop, Monterey, CA, United States, October 9, 2018 (pp. 72-79). CEUR-WS, 2213
Öppna denna publikation i ny flik eller fönster >>SmartEnv Ontology in E-care@home
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2018 (Engelska)Ingår i: SSN 2018 - Semantic Sensor Networks Workshop: Proceedings of the 9th International Semantic Sensor Networks Workshopco-located with 17th International Semantic Web Conference (ISWC 2018) / [ed] Maxime Lefrançois, Raúl Garcia Castro, Amélie Gyrard, Kerry Taylor, CEUR-WS , 2018, Vol. 2213, s. 72-79Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In this position paper we briefly introduce SmartEnv ontology which relies on SEmantic Sensor Network (SSN) ontology and is used to represent different aspects of smart and sensorized environments. We will also talk about E-carehome project aiming at providing an IoT-based health-care system for elderly people at their homes. Furthermore, we refer to the role of SmartEnv in Ecarehome and how it needs to be further extended to achieve semantic interoperability as one of the challenges in development of autonomous health care systems at home.

Ort, förlag, år, upplaga, sidor
CEUR-WS, 2018
Serie
CEUR Workshop Proceedings, ISSN 1613-0073 ; 2213
Nyckelord
SmartEnv Ontology, E-Health, Semantic Interoperability
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:liu:diva-152707 (URN)2-s2.0-85054531286 (Scopus ID)
Konferens
9th International Semantic Sensor Networks Workshop, Monterey, CA, United States, October 9, 2018
Tillgänglig från: 2018-11-15 Skapad: 2018-11-15 Senast uppdaterad: 2018-11-15Bibliografiskt granskad
Blomqvist, E., Hitzler, P., Janowicz, K., Krisnadhi, A., Narocke, T. & Solanki, M. (2016). Editorial Material: Considerations regarding Ontology Design Patterns in SEMANTIC WEB, vol 7, issue 1, pp. Semantic Web, 7(1)
Öppna denna publikation i ny flik eller fönster >>Editorial Material: Considerations regarding Ontology Design Patterns in SEMANTIC WEB, vol 7, issue 1, pp
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2016 (Engelska)Ingår i: Semantic Web, ISSN 1570-0844, E-ISSN 2210-4968, Vol. 7, nr 1Artikel i tidskrift, Editorial material (Övrigt vetenskapligt) Published
Abstract [en]

n/a

Ort, förlag, år, upplaga, sidor
IOS PRESS, 2016
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
urn:nbn:se:liu:diva-127464 (URN)10.3233/SW-150202 (DOI)000373207700001 ()
Tillgänglig från: 2016-04-30 Skapad: 2016-04-26 Senast uppdaterad: 2018-01-10
Blomqvist, E. & Thollander, P. (2015). An integrated dataset of energy efficiency measures published as linked open data. Energy Efficiency, 8(6), 1125-1147
Öppna denna publikation i ny flik eller fönster >>An integrated dataset of energy efficiency measures published as linked open data
2015 (Engelska)Ingår i: Energy Efficiency, ISSN 1570-646X, E-ISSN 1570-6478, Vol. 8, nr 6, s. 1125-1147Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Despite an extensive energy efficiency potential, measures are sometimes not adopted due to barriers, such as lack of information. An integrated database of available energy efficiency measures, which has not existed previously, is one step towards overcoming such barriers. To address this, we present a dataset (i.e., data-base) integrating energy efficiency data from Sweden (from the Swedish Energy Agency) and the USA (from the Department of Energys Industrial Assessment Centers), and publishing the data on the Web, using standardized Web languages and following the principles and best practices of so-called linked data. Additionally, several demonstration interfaces to access the data are provided, in order to show the potential of the result. These are entirely novel results, since this is the first dataset we are aware of that publishes this type of data using linked data principles and standards, thus integrating data from entirely different sources making them jointly searchable and reusable. Our results show that such data integration is possible, and that the integrated dataset has several benefits for different categories of users, e.g., supporting industry and energy efficiency auditors in overcoming the information barrier for investment in energy efficiency measures, and supporting application developers to more easily integrate such data into support tools for energy efficiency assessment.

Ort, förlag, år, upplaga, sidor
SPRINGER, 2015
Nyckelord
Energy efficiency audit; Energy efficiency improvement; Energy efficiency data; Linked data
Nationell ämneskategori
Data- och informationsvetenskap Maskinteknik
Identifikatorer
urn:nbn:se:liu:diva-123781 (URN)10.1007/s12053-015-9341-7 (DOI)000365421800007 ()
Anmärkning

Funding Agencies|Swedish Energy Agency

Tillgänglig från: 2016-01-11 Skapad: 2016-01-11 Senast uppdaterad: 2018-01-10
Dragisic, Z., Lambrix, P. & Blomqvist, E. (2015). Integrating Ontology Debugging and Matching into the eXtreme Design Methodology. In: Eva Blomqvist; Pascal Hitzler; Adila Krisnadhi; Tom Narock; Monika Solanki (Ed.), Proceedings of the 6th Workshop on Ontology and Semantic Web Patterns (WOP 2015): . Paper presented at 6th Workshop on Ontology and Semantic Web Patterns (WOP 2015), Bethlehem, Pensylvania, USA, October 11, 2015. Rheinisch-Westfaelische Technische Hochschule Aachen University
Öppna denna publikation i ny flik eller fönster >>Integrating Ontology Debugging and Matching into the eXtreme Design Methodology
2015 (Engelska)Ingår i: Proceedings of the 6th Workshop on Ontology and Semantic Web Patterns (WOP 2015) / [ed] Eva Blomqvist; Pascal Hitzler; Adila Krisnadhi; Tom Narock; Monika Solanki, Rheinisch-Westfaelische Technische Hochschule Aachen University , 2015Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Ontology design patterns (ODPs) and related ontology development methodologies were designed as ways of sharing and reusing best practices in ontology engineering. However, while the use of these reduces the number of issues in the resulting ontologies defects can still be introduced into the ontology due to improper use or misinterpretation of the patterns. Thus, the quality of the developed ontologies is still a major concern. In this paper we address this issue by describing how ontology debugging and matching can be integrated in a state-of-the-art ontology development methodology based on ontology design patterns- the eXtreme Design methodology, and show the advantages in a case study based on a real world ontology.

Ort, förlag, år, upplaga, sidor
Rheinisch-Westfaelische Technische Hochschule Aachen University, 2015
Serie
CEUR Workshop Proceedings, ISSN 1613-0073 ; 1461
Nationell ämneskategori
Medieteknik
Identifikatorer
urn:nbn:se:liu:diva-121794 (URN)
Konferens
6th Workshop on Ontology and Semantic Web Patterns (WOP 2015), Bethlehem, Pensylvania, USA, October 11, 2015
Forskningsfinansiär
EU, FP7, Sjunde ramprogrammet, FP7-IP-608142CUGS (National Graduate School in Computer Science)Swedish e‐Science Research Center
Tillgänglig från: 2015-10-06 Skapad: 2015-10-06 Senast uppdaterad: 2018-01-11Bibliografiskt granskad
Lambrix, P., Hyvönen, E., Blomqvist, E., Presutti, V., Qi, G., Sattler, U., . . . Ghidini, C. (Eds.). (2015). Knowledge Engineering and Knowledge Management: EKAW 2014 Satellite Events, VISUAL, EKM1, and ARCOE-Logic, Linköping, Sweden, November 24-28, 2014. Revised Selected Papers. Paper presented at EKAW 2014 Satellite Events, VISUAL, EKM1, and ARCOE-Logic, Linköping, Sweden, November 24–28, 2014. Switzerland: Springer
Öppna denna publikation i ny flik eller fönster >>Knowledge Engineering and Knowledge Management: EKAW 2014 Satellite Events, VISUAL, EKM1, and ARCOE-Logic, Linköping, Sweden, November 24-28, 2014. Revised Selected Papers
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2015 (Engelska)Proceedings (redaktörskap) (Refereegranskat)
Abstract [en]

This volume contains the Satellite Events proceedings of the 19th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2014), held in Linköping, Sweden, during November 24–28, 2014. This was the first EKAW conference in a Nordic country. It was concerned with all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics. The special focus of EKAW2014 was Diversity.

Ort, förlag, år, upplaga, sidor
Switzerland: Springer, 2015. s. 234
Serie
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 8982
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:liu:diva-117408 (URN)10.1007/978-3-319-17966-7 (DOI)978-3-319-17965-0 (ISBN)978-3-319-17966-7 (ISBN)
Konferens
EKAW 2014 Satellite Events, VISUAL, EKM1, and ARCOE-Logic, Linköping, Sweden, November 24–28, 2014
Tillgänglig från: 2015-04-24 Skapad: 2015-04-24 Senast uppdaterad: 2018-02-06Bibliografiskt granskad
Keskisärkkä, R. & Blomqvist, E. (2015). Supporting Real-Time Monitoring in Criminal Investigations. In: SEMANTIC WEB: ESWC 2015 SATELLITE EVENTS: . Paper presented at 12th European Semantic Web Conference (ESWC) (pp. 82-86). SPRINGER INT PUBLISHING AG, 9341
Öppna denna publikation i ny flik eller fönster >>Supporting Real-Time Monitoring in Criminal Investigations
2015 (Engelska)Ingår i: SEMANTIC WEB: ESWC 2015 SATELLITE EVENTS, SPRINGER INT PUBLISHING AG , 2015, Vol. 9341, s. 82-86Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Being able to analyze information collected from streams of data, generated by different types of sensors, is becoming increasingly important in many domains. This paper presents an approach for creating a decoupled semantically enabled event processing system, which leverages existing Semantic Web technologies. By implementing the actor model, we show how we can create flexible and robust event processing systems, which can leverage different technologies in the same general workflow. We argue that in this context RSP systems can be viewed as generic systems for creating semantically enabled event processing agents. In the demonstration scenario we show how real-time monitoring can be used to support criminal intelligence analysis, and describe how the actor model can be leveraged further to support scalability.

Ort, förlag, år, upplaga, sidor
SPRINGER INT PUBLISHING AG, 2015
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9341
Nyckelord
Semantic event processing; Event processing; RDF stream processing; Actor model; Criminal intelligence
Nationell ämneskategori
Inbäddad systemteknik
Identifikatorer
urn:nbn:se:liu:diva-129183 (URN)10.1007/978-3-319-25639-9_16 (DOI)000374570000016 ()9783319256399 (ISBN)9783319256382 (ISBN)
Konferens
12th European Semantic Web Conference (ESWC)
Tillgänglig från: 2016-06-13 Skapad: 2016-06-13 Senast uppdaterad: 2016-06-20
Timpka, T., Spreco, A., Dahlström, Ö., Eriksson, O., Gursky, E., Ekberg, J., . . . Holm, E. (2014). Performance of eHealth data sources in local influenza surveillance: a 5-year open cohort study. Journal of Medical Internet Research, 16(4), e116
Öppna denna publikation i ny flik eller fönster >>Performance of eHealth data sources in local influenza surveillance: a 5-year open cohort study
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2014 (Engelska)Ingår i: Journal of Medical Internet Research, ISSN 1438-8871, E-ISSN 1438-8871, Vol. 16, nr 4, s. e116-Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

BACKGROUND: There is abundant global interest in using syndromic data from population-wide health information systems--referred to as eHealth resources--to improve infectious disease surveillance. Recently, the necessity for these systems to achieve two potentially conflicting requirements has been emphasized. First, they must be evidence-based; second, they must be adjusted for the diversity of populations, lifestyles, and environments.

OBJECTIVE: The primary objective was to examine correlations between data from Google Flu Trends (GFT), computer-supported telenursing centers, health service websites, and influenza case rates during seasonal and pandemic influenza outbreaks. The secondary objective was to investigate associations between eHealth data, media coverage, and the interaction between circulating influenza strain(s) and the age-related population immunity.

METHODS: An open cohort design was used for a five-year study in a Swedish county (population 427,000). Syndromic eHealth data were collected from GFT, telenursing call centers, and local health service website visits at page level. Data on mass media coverage of influenza was collected from the major regional newspaper. The performance of eHealth data in surveillance was measured by correlation effect size and time lag to clinically diagnosed influenza cases.

RESULTS: Local media coverage data and influenza case rates showed correlations with large effect sizes only for the influenza A (A) pH1N1 outbreak in 2009 (r=.74, 95% CI .42-.90; P<.001) and the severe seasonal A H3N2 outbreak in 2011-2012 (r=.79, 95% CI .42-.93; P=.001), with media coverage preceding case rates with one week. Correlations between GFT and influenza case data showed large effect sizes for all outbreaks, the largest being the seasonal A H3N2 outbreak in 2008-2009 (r=.96, 95% CI .88-.99; P<.001). The preceding time lag decreased from two weeks during the first outbreaks to one week from the 2009 A pH1N1 pandemic. Telenursing data and influenza case data showed correlations with large effect sizes for all outbreaks after the seasonal B and A H1 outbreak in 2007-2008, with a time lag decreasing from two weeks for the seasonal A H3N2 outbreak in 2008-2009 (r=.95, 95% CI .82-.98; P<.001) to none for the A p H1N1 outbreak in 2009 (r=.84, 95% CI .62-.94; P<.001). Large effect sizes were also observed between website visits and influenza case data.

CONCLUSIONS: Correlations between the eHealth data and influenza case rates in a Swedish county showed large effect sizes throughout a five-year period, while the time lag between signals in eHealth data and influenza rates changed. Further research is needed on analytic methods for adjusting eHealth surveillance systems to shifts in media coverage and to variations in age-group related immunity between virus strains. The results can be used to inform the development of alert-generating eHealth surveillance systems that can be subject for prospective evaluations in routine public health practice.

Ort, förlag, år, upplaga, sidor
Journal of Medical Internet Research, 2014
Nationell ämneskategori
Medicin och hälsovetenskap
Identifikatorer
urn:nbn:se:liu:diva-106758 (URN)10.2196/jmir.3099 (DOI)000336501600017 ()24776527 (PubMedID)
Tillgänglig från: 2014-05-21 Skapad: 2014-05-21 Senast uppdaterad: 2018-04-07Bibliografiskt granskad
Presutti, V., Blomqvist, E., Troncy, R., Sack, H., Papadakis, I. & Tordai, A. (Eds.). (2014). The Semantic Web: ESWC 2014 Satellite Events - ESWC 2014 Satellite Events, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers. Springer, 8798
Öppna denna publikation i ny flik eller fönster >>The Semantic Web: ESWC 2014 Satellite Events - ESWC 2014 Satellite Events, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers
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2014 (Engelska)Proceedings (redaktörskap) (Övrigt vetenskapligt)
Ort, förlag, år, upplaga, sidor
Springer, 2014
Serie
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 8798
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:liu:diva-112230 (URN)10.1007/978-3-319-11955-7 (DOI)978-3-319-11954-0 (ISBN)
Tillgänglig från: 2014-11-19 Skapad: 2014-11-19 Senast uppdaterad: 2018-02-20
Organisationer
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0003-0036-6662

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