Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/95670
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dc.date.accessioned2022-05-16T05:33:15Z-
dc.date.available2022-05-16T05:33:15Z-
dc.date.issued2014-
dc.identifier.citationZerafa, A. (2014). Personal ubiquitous assistant (Bachelor's dissertation).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/95670-
dc.descriptionB.SC.ICT(HONS)ARTIFICIAL INTELLIGENCEen_GB
dc.description.abstractA Personal Ubiquitous Assistant (PUA) can be viewed as a simple search algorithm with an ever expanding base criterion. We have independent search procedures on Personal Computers (PC), mobile phones, or applications within digital stores. The application will be considered as a personal assistant, where the complexity of all the interactive and non-interactive sources would encourage the same system to "understand" the information, and predict specific directions to specific sources. For example, if an information trend of a message contains information about an event, the search on the World Wide Web would extract respective information about the event and present it to the user. This tool will be developed as an Android Application PacKage (APK) and will be a background running process once the user opens the application. It will keep track of sent and received Short Message Service's (SMS) information and analyze the content of the messages. When the information is gathered and analyzed, the tool will be able to extract information from the internet, which is relevant to the context of the user's messages, and displays them into a simple list.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectUbiquitous computingen_GB
dc.subjectMobile computingen_GB
dc.subjectNatural language processing (Computer science)en_GB
dc.titlePersonal ubiquitous assistanten_GB
dc.typebachelorThesisen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.publisher.institutionUniversity of Maltaen_GB
dc.publisher.departmentFaculty of Information and Communication Technology. Department of Artificial Intelligenceen_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorZerafa, Angelo (2014)-
Appears in Collections:Dissertations - FacICT - 2014
Dissertations - FacICTAI - 2002-2014

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