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Instead of having a map like this: root → ["a", ... ]
Let’s design it as root→ [{ value: "a", type: "SubstringRelation", nodeId: "a", remainingItems: 5}, ...]
This way, the bucketizer can look up all parameters necessary to correctly describe the fragmentation in a generic way. It will open the door to mixed fragment trees as well.
The geospatial bucketizer then could keep a map like this: root→ [{ value: "POLYGON (... ... ...)", type: "GeospatiallyContainsRelation", nodeId: "x/y/z", remainingItems: 5}, ...]
Question: value is usually an RDF.Term when we get it from the web. Do we already of here need to describe it as an RDF.Term instead of merely a string? E.g., it could be that the value is a literal with a specific datatype (e.g., xsd:dateTIme), then that has a huge influence on a GreaterThanRelation, as the datetime will need to be compared based on later in time.
The text was updated successfully, but these errors were encountered:
Instead of having a map like this:
root → ["a", ... ]
Let’s design it as
root→ [{ value: "a", type: "SubstringRelation", nodeId: "a", remainingItems: 5}, ...]
This way, the bucketizer can look up all parameters necessary to correctly describe the fragmentation in a generic way. It will open the door to mixed fragment trees as well.
The geospatial bucketizer then could keep a map like this:
root→ [{ value: "POLYGON (... ... ...)", type: "GeospatiallyContainsRelation", nodeId: "x/y/z", remainingItems: 5}, ...]
Question: value is usually an RDF.Term when we get it from the web. Do we already of here need to describe it as an RDF.Term instead of merely a string? E.g., it could be that the value is a literal with a specific datatype (e.g., xsd:dateTIme), then that has a huge influence on a GreaterThanRelation, as the datetime will need to be compared based on later in time.
The text was updated successfully, but these errors were encountered: