A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Lecture Notes in Computer Science
Derivations and proofs are a form of provenance in automated deduction that can assist users in understanding how reasoners derive logical consequences from premises. However, system-generated proofs are often overly complex or detailed, and making sense of them is non-trivial. Conversely, without any form of provenance, it is just as hard to know why a certain fact was derived. We study provenance in the application of Euler/X , a logic-based toolkit for aligning multiple biologicaldoi:10.1007/978-3-319-16462-5_27 fatcat:qofhwt37tvenjcns6iiyw4vkwi