1,721,057 research outputs found
L'Intelligenza Artificiale in Sanità: il Ruolo dei Dati
No full textNell'era della Artificial Intelligence (AI) le nuove questioni etiche, la loro traduzione in mediazione giuridica ed il dilatarsi della scienza e della prassi applicativa esigono, si afferma sempre, un approccio interdisciplinare. Eppure, la ormai sterminata letteratura in materia affronta sovente i problemi da angoli visuali particulari. Il volume, pur dedicato ad indagine settoriale, teoria e prassi dell’impiego di device AI-powered in medicina, si sforza di censire, facendole fondere in un unitario (con)testo, le voci di saperi convergenti ma settorialmente distinti: esponenti dell’ars medica e delle scienze informatiche ed ingegneristiche si affiancano a giuristi e studiosi della nuova algoretica, completandosi a vicenda ed arricchendosi della reciproca somma sinergica
A Join Operator for Property Graphs
Full text linkIn the graph database literature the term "join" does not refer to an operator combining two graphs, but involves path traversal queries over a single graph. Current languages express binary joins through the combination of path traversal queries with graph creation operations. Such solution proves to be not efficient. In this paper we introduce a binary graph join operator and a corresponding algorithm outperforming the solution proposed by query languages for either graphs (Cypher, SPARQL) and relational databases (SQL). This is achieved by using a specific graph data structure in secondary memory showing better performance than state of the art graph libraries (Boost Graph Library, SNAP) and database systems (Sparksee
Metric spaces for temporal information retrieval
No full textAbstract. Documents and queries are rich in temporal features, both at the meta-level and at the content-level. We exploit this information to define temporal scope similarities between documents and queries in metric spaces. Our experiments show that the proposed metrics can be very effective for modeling the relevance for different search tasks, and provide insights into an inherent asymmetry in temporal query semantics. Moreover, we propose a simple ranking model that com-bines the temporal scope similarity with traditional keyword similarities. We experimentally show that it is not worse than traditional keyword-based rankings for non-temporal queries, and that it improves the overall effectiveness for time-based queries.
Shared Images and Camera Fingerprinting May Lead to Privacy Issues.
No full textSocial networks have become an indispensable part of everyday life by providing users with different types of interaction. However, sharing different types of data, such as text, image, video and etc., on social networks, gives rise to user privacy concerns and risks, while the user is not aware of that. In this chapter, we show how the images shared by users can be applied to fingerprint the acquisition devices and link user profiles on social networks
Querying data across different legal domainsProceedings of the 17th International Database Engineering & Applications Symposium on - IDEAS '13
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