Information Integration for the Masses

dc.creatorBlythe,Jim
dc.creatorKapoor,Dipsy
dc.creatorKnoblock,Craig
dc.creatorLerman,Kristina
dc.creatorMinton,Steven
dc.date2008
dc.date.accessioned2024-02-06T12:56:39Z
dc.date.available2024-02-06T12:56:39Z
dc.descriptionInformation integration applications combine data from heterogeneous sources to assist the user in solving repetitive data-intensive tasks. Currently, such applications require a high level of expertise in information integration since users need to know how to extract data from an on-line source, describe its semantics, and build integration plans to answer specific queries. We have integrated three task learning technologies within a single desktop application to assist users in creating information integration applications. It includes a tool for programmatic access to data in on-line information sources, a tool to semantically model them by aligning their input and output parameters with a common ontology, and a tool that enables the user to create complex integration plans using simple text instructions. Our system was integrated within the Calo Desktop Assistant and evaluated independently on a range of problems. It enabled non-expert users to construct integration plans for a variety of problems in the office and travel domains.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-014-11-1811
dc.identifierhttps://lib.jucs.org/article/29094/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9764
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 14(11): 1811-1837
dc.subjectinformation extraction
dc.subjectweb applications
dc.subjectassistants
dc.titleInformation Integration for the Masses
dc.typeResearch Article
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