Ontology-Based Top-k Query Answering over Massive, Heterogeneous, and Dynamic Data

Daniele Dell'Aglio
2013 International Semantic Web Conference  
A relevant kind of task, which is getting more and more attention in the recent years, is the selection of the most relevant elements in a number of data collections, e.g., the opinion leaders given a set of topics, the best hotel offers, and the best cities to live in. At the moment the problem is addressed through ad-hoc solutions tailored on the target scenario, setting up infrastructures able to manage the expected data loads. Even if these solutions work, they could start to have problems
more » ... hen the data volume, velocity and variety increase. In my research activity I will study the problem of computing the top k relevant items given a collection of data sets with both streaming and static data, an ontology describing them, and a set of top-k queries where each scoring function describes the relevance as a combination of several criteria. This research is developed under the supervision of Professor Emanuele Della Valle. 1 Cf. http://www.expedia.com 2 Even if the whole data computation process is not made by Expedia and there are intermediate data providers (e.g., Amadeus), I consider this process as executed by a black box system to highlight the features of the data.
dblp:conf/semweb/DellAglio13 fatcat:7oxyb3p45zcqpn62zkro2edjue