Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/94038
Full metadata record
DC FieldValueLanguage
dc.date.accessioned2022-04-19T09:42:15Z-
dc.date.available2022-04-19T09:42:15Z-
dc.date.issued2009-
dc.identifier.citationGrech, O. A. (2009). Knowledge assistant (Bachelor's dissertation).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/94038-
dc.descriptionB.SC.ICT(HONS)ARTIFICIAL INTELLIGENCEen_GB
dc.description.abstractWhen a user is performing some knowledge related task she has information-needs that are related to the given writing task. Nowadays, we have vast amounts of information within our reach. The World Wide Web is the largest information medium from which users can search for and retrieve information on many different subjects. When a user is searching for information from the WWW she might find it difficult to find the information she needs from the very huge amount of information available. Moreover, since personal computer can store increasingly more data, personal information spaces store thousands of documents. A user's personal information space may store information which satisfies the user's information need. People may find it difficult to cope with all the existing information. A common problem that users face nowadays is "information overload" that make a writing task more difficult. Tools that assist the user in coping with information overload are needed and various tools have been and are being developed each of which help the user in a different way to tackle this problem. Knowledge Assistant (KA) is a just-in-time information retrieval system whose aim is to help the user in writing her piece of work and saving time when researching for information. KA proactively and autonomously observes the user while performing her writing task. It uses the text of the current document to automatically create queries which are sent to multiple information-seeking sources, such as the search engines, to discover relevant documents on behalf of the user. Potentially useful suggestions are automatically presented by KA to the user as she is carrying out her written task. KA provides both a user-profile and relevance feedback mechanism which allows it to effectively adapt to the user.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectComputer systemsen_GB
dc.subjectManagement information systemsen_GB
dc.subjectComputer scienceen_GB
dc.titleKnowledge 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.creatorGrech, Olivia Ann (2009)-
Appears in Collections:Dissertations - FacICT - 1999-2009
Dissertations - FacICTAI - 2002-2014

Files in This Item:
File Description SizeFormat 
B.SC.(HONS)IT_Grech_Olivia Ann_2009.pdf
  Restricted Access
13.93 MBAdobe PDFView/Open Request a copy


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.