• Decisive skyline queries for truly balancing multiple criteria 

      Vlachou, Akrivi; Doulkeridis, Christos; Rocha-Junior, Joao B.; Nørvåg, Kjetil (Peer reviewed; Journal article, 2023)
      Skyline queries have emerged as an increasingly popular tool for identifying a set of interesting objects that balance different user-specified criteria. Although in several applications the user aims to detect data objects ...
    • Diversifying Top-k Point-of-Interest Queries via Collective Social Reach 

      Maropaki, Stella; Chester, Sean; Doulkeridis, Christos; Nørvåg, Kjetil (Chapter, 2020)
      By "checking into'' various points-of-interest (POIs), users create a rich source of location-based social network data that can be used in expressive spatio-social queries. This paper studies the use of popularity as a ...
    • Efficient Semantic Similarity Search over Spatio-textual Data 

      Theodoropoulos, George S.; Nørvåg, Kjetil; Doulkeridis, Christos (Chapter, 2023)
      In this paper, we address the problem of semantic similarity search over spatio-textual data. In contrast with most existing works on spatial-keyword search that rely on exact matching of query keywords to textual ...
    • On Decisive Skyline Queries 

      Vlachou, Akrivi; Doulkeridis, Christos; Rocha-Junior, Joao B.; Nørvåg, Kjetil (Journal article; Peer reviewed, 2022)
      Skyline queries aim to identify a set of interesting objects that balance different user-specified criteria, i.e., that have values as good as possible in all specified criteria. However, objects whose values are good in ...
    • The SPADES Framework for Scalable Management of Spatio-textual Data 

      Vlachou, Akrivi; Doulkeridis, Christos; Koutroumanis, Nikolaos; Poulopoulos, Dimitrios; Nørvåg, Kjetil (Chapter, 2020)
      This paper presents the research activities in the context of the SPADES project for scalable indexing and processing of big spatial and spatio-textual data. Management of spatio-textual data raises challenges due to the ...