Semantic/Faceted Search and Pareto Optimization Is there a way to include Pareto optimization approaches to a semantic search or faceted search in our community? I am used to using SPARQL to combine independent facets/requests in one query kind of like a filter. What would be needed for dependent facets where one parameter can only be improved if another is worsened (Pareto)? Has anyone ever seen anything like that using semantic technologies?
Hi Maja-O. L., could you give some precision about your use case ? I am not sure I can help you (sorry there) but I might be interested by your use case.
I don't have a specific use-case at hand. As I am in materials research, an application could be the search for a novel material that has properties A, B and C that are needed for a specific application (e.g. photovoltaics, catalysis, ...) and these can't be tuned independently. At the moment I am trying to make a point to my community where these types of problem are very common and there is still a lack of understanding how and why ontologies can be useful.
So if I may rephrase with my own words: You would like to aggregate documents based on facets (e.g. photovoltaics, catalysis, ...). Those facets could be retrieved from different indepedent datasets which would require a federated query. But the same facets might not be indepedent (therefore the Pareto optimization), so the facets should be updated as the user select them. Am I understanding right?
(It is the first time I hear about pareto optimization)
Hi Maja-O. L.! Great question! As Slack is non-searchable, may I encourage you to post this on our Q&A board? 馃槉 https://answers.knowledgegraph.tech/