DC FieldValueLanguage
dc.contributor.authorFerdous, Shahina-
dc.contributor.authorKapidakis, Sarantos-
dc.contributor.authorFegaras, Leonidas-
dc.contributor.authorMakedon, Filia-
dc.date.accessioned2023-10-30T13:40:00Z-
dc.date.available2023-10-30T13:40:00Z-
dc.date.issued2011-
dc.identifierscopus-80055035610-
dc.identifier.isbn9783642239595-
dc.identifier.issn18684238-
dc.identifier.other80055035610-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/718-
dc.descriptionInternational Conference on Engineering Applications of Neural Networks IFIP International Conference on Artificial Intelligence Applications and Innovationsen_US
dc.description.abstractSensor data generated by pervasive applications are very diverse and are rarely described in standard or established formats. Consequently, one of the greatest challenges in pervasive systems is to integrate heterogeneous repositories of sensor data into a single view. The traditional approach to data integration, where a global schema is designed to incorporate the local schemas, may not be suitable to sensor data due to their highly transient schemas and formats. Furthermore, researchers and professionals in healthcare need to combine relevant data from various data streams and other data sources, and to be able to perform searches over all of these collectively using a single interface or query. Often, users express their search in terms of a small set of predefined fields from a single schema that is the most familiar to them, but they want their search results to include data from other compatible schemas as well. We have designed and implemented a framework for a sensor data repository that gives access to heterogeneous sensor metadata schemas in a uniform way. In our framework, the user specifies a query in an arbitrary schema and specifies the mappings from this schema to all the collections he wants to access. To ease the task of mapping specification, our system remembers metadata mappings previously used and uses them to propose other relevant mapping choices for the unmapped metadata elements. That way, users may build their own metadata mappings based on earlier mappings, each time specifying (or improving) only those components that are different. We have created a repository using data collected from various pervasive applications in a healthcare environment, such as activity monitoring, fall detection, sleep-pattern identification, and medication reminder systems, which are currently undergoing at the Heracleia Lab. We have also developed a flexible query interface to retrieve relevant records from the repository that allows users to specify their own choices of mappings and to express conditions to effectively access fine-grained data.en_US
dc.language.isoenen_US
dc.relation.ispartofArtificial Intelligence Applications and Innovationsen_US
dc.relation.ispartofseriesIFIP Advances in Information and Communication Technologyen_US
dc.subjectDigital Librariesen_US
dc.subjectHealthcareen_US
dc.subjectMetadataen_US
dc.subjectPervasive Applicationsen_US
dc.subjectQuery Interfaceen_US
dc.subjectSchema Mappingsen_US
dc.titleAn adaptable framework for integrating and querying sensor dataen_US
dc.typeConference Paperen_US
dc.relation.conferenceInternational Conference on Engineering Applications of Neural Networksen_US
dc.identifier.doi10.1007/978-3-642-23960-1_50en_US
dc.identifier.scopus2-s2.0-80055035610-
dcterms.accessRights1en_US
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume364 AICTen_US
dc.identifier.spage430en_US
dc.identifier.epage438en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.journalsOpen Accessen_US
dc.countryGreeceen_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-8723-0276-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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