Abstract
An increasing amount of information is being collected in structured, evolving, curated databases, driving the question of how information extracted from such datasets via queries should be cited. Unlike traditional research products which have a fixed granularity, data citation is a challenge because the granularity varies. Different portions of the database, with varying granularity, may have different citations. Furthermore, there are an infinite number of queries over a database, so we cannot hope to explicitly attach a citation to every possible result set and/or query. We present the novel problem of automatically generating citations for general queries over a relational database, and explore a solution based on citation views, each of which attaches a citation to a view of the database. Citation views are then used to automatically construct citations for general queries.
| Original language | English |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 2037 |
| State | Published - 2017 |
| Event | 25th Italian Symposium on Advanced Database Systems, SEBD 2017 - Squillace Lido, Italy Duration: 25 Jun 2017 → 29 Jun 2017 |
Funding
| Funders | Funder number |
|---|---|
| Centre for Interdisciplinary Research in Rehabilitation | |
| H2020 European Research Council | 1636/13, 291071 |
| Peter Maccallum Cancer Centre | |
| Center for Modelling and Simulation in the Biosciences | NSF IIS 1302212, NSF ACI 1547360, NIH 3-U01-EB-020954-02S1 |