well, with some prior bibliography resource gather/storing (use just pdf files, auto-pull cited references ("lines with [0-9]+") can auto prune/direct the stocastic google method noted at start.
alternatively prine method: look up authors from a set of starter bibliographs & keep authors with higher sitations/lower citations.
can use google to find number of times web resource linked/cited & use the count as a pruning method.
This sounds like a fun experiment. I wonder if anyone has already done something like what you describe.
Would be nice for the output to be a kind of collage of abstracts. Maybe convert them to audio using one of these magic AI voice synthesis things and spatially position them in a virtual lecture hall - walk past a door, hear the abstract, walk inside to get the full paper. There could be hallways of doors that are grouped together by some kind of metric.
well, even mashing a few software ideas together, still need to select metric(s)/subject mater to use. Although, suppose one could use some form(s) of AI to "learn" one's preferences and scan web accordingly.
Comments
well, with some prior bibliography resource gather/storing (use just pdf files, auto-pull cited references ("lines with [0-9]+") can auto prune/direct the stocastic google method noted at start.
alternatively prine method: look up authors from a set of starter bibliographs & keep authors with higher sitations/lower citations.
can use google to find number of times web resource linked/cited & use the count as a pruning method.
This sounds like a fun experiment. I wonder if anyone has already done something like what you describe.
Would be nice for the output to be a kind of collage of abstracts. Maybe convert them to audio using one of these magic AI voice synthesis things and spatially position them in a virtual lecture hall - walk past a door, hear the abstract, walk inside to get the full paper. There could be hallways of doors that are grouped together by some kind of metric.
well, even mashing a few software ideas together, still need to select metric(s)/subject mater to use. Although, suppose one could use some form(s) of AI to "learn" one's preferences and scan web accordingly.
"AR rooms" for front end: http://cve.sourceforge.net/
Suggested "papers" placed in the relevant CVE building/room?
Associated authors per topic:https://www.semanticscholar.org/paper/Similarity-measures-fo...
geographic association: https://www.semanticscholar.org/paper/Geovisualization-of-kn...
citation context: https://dl.acm.org/doi/10.1145/3240117.3240123
not abstract specific, but sounds like pre-internet days promise of pearl.
sounds like an abstract doom game (pun intended), instead of sysadmin doom, where "surrounding sound would stand in for graph of connected issues.
? customize sound/room features like command line shell to tagging things of interest and/or "group of images" in room related to abstract.
sysadmindoom stuff: http://psdoom.sourceforge.net https://kubernetes.io/blog/2020/01/22/kubeinvaders-gamified-... https://eric-jadi.medium.com/minecraft-as-a-k8s-admin-tool-c...
perhaps serve as a gateway/motivation on the promise of ar.
ummmm.... pehaps doom as a pit ball of ideas,
pick/put ball in bins/on wall to make the room/refine search.
toss the idea ball(s) around, perhaps through a portal to someone else's room of doom.
join up with others to vr kick some ideas around.