Example Story: As a researcher, I would like to see resources in response to a search where the relevance ranking of the results reflects the "importance" of the works, based on how they have been used or selected by others, so that I can find important resources that might otherwise be "hidden" in a large set of results.

In this use case the importance calculated will reflect importance in the scholarly world and will be different from those in commodity systems, as well as including items that would not appear in commodity systems (e.g. manuscripts). A benchmark will be doing better than Amazon with richer results.

Out of scope: n/a

Potential Demonstrations

A. Do a "page-rank" style algorithm (centrality, minimum path, etc) across the full linked data graph, assigning appropriate weights to certain kinds of annotations and relationships and reflecting those weights in the relevance ranking of search results for a set of common queries.

B. Possibly allow (for demo purposes) the user to see the comparative results s/he would have gotten from Amazon. (Added by DavidW, not discussed by group)

C. Boost the ranking of any resource that has external relationship links by a computation over those relationships.

Data Sources

Ontology Requirements

Engineering Work

Who will do what?