• Aucun résultat trouvé

Logical Approaches to Query Optimization over Web-Based Sources

N/A
N/A
Protected

Academic year: 2022

Partager "Logical Approaches to Query Optimization over Web-Based Sources"

Copied!
1
0
0

Texte intégral

(1)

Logical approaches to query optimization over web-based sources

Michael Benedikt

Department of Computer Science, University of Oxford [email protected]

Abstract. Much of the data needed to answer user queries resides on the web – accessible via web apis or web forms. The setting is answering queries over sources that are connected to one another by semantic rela- tionships (that is, integrity constraints). The sources may have overlap, may have multiple means of access with different requirements (e.g. num- ber of required arguments), and the means of access within and across relations may differ radically in cost. This work presents a method for generating query plans that run on top of these sources, obeying the access patterns and exploiting the integrity constraints. The approach is based on ”implementing” interpolation and definability results in predi- cate logic, while extending them to take into account access restrictions, modifying them work in the presence of background integrity constraints, combining them with cost considerations. In this talk I will give a flavor of the theory behind the logic-based approach, and then discuss a vari- ety of algorithmic and system issues. This is joint work with Balder ten Cate, Julien Leblay, and Efi Tsamoura.

Références

Documents relatifs

Mapping SPARQL Query to temporal logic query based on NµSMV Model Checker to Query Semantic Graphs.. Mahdi Gueffaz, Sylvain Rampacek,

This framework, called Lattice Based View Access (LBVA), allows the classi- fication of SPARQL query results into a concept lattice, referred to as a view, for data

We study the data complexity of conjunctive query answering under these new semantics, and show a general tractability result for all known first-order rewritable ontology languages.

It is based on using an entity relevance model computed from the seed query, which captures the structure and content of relevant results.. This model is used both for matching

Intersection Query After having executed the original query and all of its approximations, we also add all service offers to the result list, which have at least one concept in

Mais c’est vrai qu’elle, elle se fond vraiment dans la masse et puis je pense que si on m’avais pas dit qu’elle était dyscalculique, j’aurais juste dit

This framework, called Lattice Based View Access (LBVA), allows the classi- fication of SPARQL query results into a concept lattice, referred to as a view, for data

Sequential kriging-based methods for reliability estimation and optimization : concluding remarks. Kriging provides a rich framework to define iterative sampling strategies