Your browser does not support JavaScript!

Home    Search  

Results - Details

Search command : Author="Στεφανίδης"  And Author="Κωνσταντίνος"

Current Record: 18 of 47

Back to Results Previous page
Next page
Add to Basket
[Add to Basket]
Identifier 000406875
Title Preference - enriched faceted search for geographical data
Alternative Title Πολυεδρική αναζήτηση με προτιμήσεις για γεωγραφικά δεδομένα
Author Λιονάκης, Παναγιώτης Κ.
Thesis advisor Τζίτζικας, Ιωάννης
Reviewer Πλεξουσάκης, Δημήτρης
Στεφανίδης, Κωνσταντίνος
Abstract A plethora of datasets contain geographic information or can be linked to geographic information. In this thesis, we show how an exploratory search process, specifically the Preference -enriched Faceted Search (PFS) process, can be enriched for being appropriate for exploring datasets that contain GEOgraphic information. In brief, PFS supports user clicks that correspond to either hard or soft constraints. The first kind corresponds to the actions of the classical faceted search (where the user can restrict his focus gradually while getting an overview of the information space), while the latter corresponds to actions that specify preferences that rank accordingly the information space. In this thesis we extend PFS for advancing the exploration services for datasets that contain also geographic information. In the extended model, the user can use the map not only for inspecting the current focus, but also for restricting the focus, as well as for expressing preferences. Subsequently we describe an implementation of the approach by extending the system Hippalus and a pilot application of the resulting system. Finally, we apply and evaluate the proposed approach using a synthetic dataset containing information about Hotels in Crete, and we discuss issues related to the scalability of the approach. To the best of your knowledge, this is the first system that supports exploratory search with preferences over datasets that contain also geographic information.
Language English
Subject PFS
RDF
Issue date 2017-03-17
Collection   Faculty/Department--Faculty of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/2/9/2/metadata-dlib-1488800720-486466-19055.tkl Bookmark and Share
Views 242

Digital Documents
No preview available

View document
Views : 3