http://www.ronpub.com/index.php/journals/OJWT/issues?volume=3&issue=ALL All papers of this volume en-us https://www.ronpub.com/ojwt/OJWT_2016v3i1n02_Meghini.html http://nbn-resolving.de/urn:nbn:de:101:1-201705291402 In this study we address the problem of answering queries over a peer-to-peer system of taxonomy-based sources. A taxonomy states subsumption relationships between negation-free DNF formulas on terms and negation-free conjunctions of terms. To the end of laying the foundations of our study, we first consider the centralized case, deriving the complexity of the decision problem and of query evaluation. We conclude by presenting an algorithm that is efficient in data complexity and is based on hypergraphs. We then move to the distributed case, and introduce a logical model of a network of taxonomy-based sources. On such network, a distributed version of the centralized algorithm is then presented, based on a message passing paradigm, and its correctness is proved. We finally discuss optimization issues, and relate our work to the literature.