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03-discovery-specification.bs

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@@ -31,22 +31,22 @@ A TREE client MUST be provided with a URL to start from, which we call the _entr
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# Initializing a client with a url # {#starting-from}
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The goal of the client is to understand what `tree:Collection` it is using, and to find a `tree:RootNode` to start the traversal phase from.
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This discovery specification extends the initialization step in the TREE specification for the cases in which multiple options are possible.
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This discovery specification extends the initialization step in the TREE specification, for the cases in which multiple options are possible.
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The client MUST dereference the URL, which will result in a set of quads. The client now MUST first perform the init step from the main specification.
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If that did not return any result, then the client MUST check whether the URL before redirects (`E`) has been used in one of the following discovery patterns described in the subsections:
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1. `E` is a `tree:Collection`: then the client needs to [select the right search tree](#tree-search-trees)
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2. `E` is a `dcat:Dataset`: then the client needs to [select the right distribution or dataservice from a catalog](#dcat-dataset)
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3. `E` is a `ldes:EventStream`: then the client MAY take into account [LDES specific properties](#ldes)
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4. `E` is a `dcat:Distribution`: then the client needs to [process it accordingly](#dcat-distribution)
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5. `E` is a `dcat:DataService`: then the client needs to [process it accordingly](#dcat-dataservice)
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5. `E` is a `dcat:DataService`: then the client needs to [process it accordingly](#dcat-dataservice)
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6. `E` is a catalog or is not explicitly mentioned: then it needs to select a dataset based on [shape information](#tree-collection-shapes) and [DCAT Catalog information](#dcat-catalog)
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## Selecting a collection via shapes ## {#tree-collection-shapes}
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When multiple collections are found by a client, it can choose to prune the collections based on the `tree:shape` property.
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The `tree:shape` property will refer to a first `sh:NodeShape`.
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The collection MAY be pruned in case there is no overlap in properties the client needs.
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The collection MAY be pruned in case there is no overlap with the properties the client needs.
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Issue: Will we document the precise algorithm to use? Should we extend shapes with cardinality approximations as well?
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