URL: /job//rdf// Method: GET Parameters: valid, link_pred_namespace, link_pred_shortname, export_metadata, export_linkset, reification, use_graphs, creator, publisher

Specify the uris of the source and target to identify the link to be validated. Or filter the links by specifying apply_filters to apply the filters specified by the user. Specify valid with accepted, rejected, uncertain and/or unchecked to only return from the specified validity types. Specify uri to only return links with the specified URIs. Specify cluster_id to only return the links of specific clusters. Specify min and/or max to only return links with a similarity score within the specified minimum and maximum score.

Start a process for the given spec of type (linkset or lens) of a specific job_id. Specify restart to restart the process.

Optical lens

URL: /job//clusters// Method: GET, POST Parameters: with_properties, apply_filters, include_nodes, uri, cluster_id, min, max, min_size , max_size, min_count, max_count, limit, offset

A cluster is a set of potentially similar resources (URIs). As a cluster originates from the clustering of a _ linkset_ or a lens, the cluster holds only with respect to their linkset specifications.

Convex lens

Specify with_properties with 'none' to return no property values, 'single' to only return a single property value or ' multiple' to return multiple property values. Specify apply_filters to apply the filters specified by the user. Specify include_nodes to include all nodes that are part of the cluster in the response. Specify uri to only return links with the specified URIs. Specify cluster_id to only return the links of specific clusters. Specify min and/or max to only return links with a similarity score within the specified minimum and maximum score. Specify min_size and/or max_size to only return clusters with a size that is within the specified minimum and maximum size. Specify min_count and/or max_count to only return clusters with a links count that is within the specified minimum and maximum count.

An entity-type selection is a selection of entities (stemmed from a dataset) of a certain type based on zero or more filters. The set of entity-type selections in a job comprises the entities of interest for a research question.

The configuration mentions both t-norms (conjuction / and) and s-norms (disjunction / or) that can be used to configure how the similarity score is computed:

URL: /job//links// Method: GET, POST Parameters: with_properties, apply_filters, valid, uri, cluster_id, min, max, sort, limit , offset

If you want the reference as a value, rather then selecting a property on the referenced entity, there is a special value __value__ that you can use.

URL: /job//motivate// Method: POST Form data: source, target, apply_filters, valid, uri, cluster_id, min, max, motivation

Linkset specs is a list of JSON objects that contain the configuration of the linksets to generate for a particular job.

A job encloses a research question, which highlights the scope/context in which linksets and lenses are created, analysed, validated and exported.

Specify apply_filters to apply the filters specified by the user. Specify uri to only return links with the specified URIs. Specify cluster_id to only return the links of specific clusters. Specify min and/or max to only return links with a similarity score within the specified minimum and maximum score.

Micro lensArray

The entity-type selections (using the filter), the linkset specs (using the matching methods) and the lens specs (using the elements) all apply a logic box to allow the user the express complex conditions.

A linkset specification is the specification determining how entities from one or more entity-type selections should be matched using one or more entity matching algorithms. Running a linkset specification will result in a _ linkset_.

Views is a list of JSON objects that contain the properties and filters to examine a linkset or lens for a particular job.

Lens specs is a list of JSON objects that contain the configuration of the lenses to apply on a combination of linksets.

URL: /job/update Method: POST JSON: job_id, job_title, job_description, job_link, entity_type_selections, linkset_specs, lens_specs , views

Fresnel lens

URL: /job//validate// Method: POST Form data: source, target, apply_filters, valid, uri, cluster_id, min, max, validation

A lens specification is the specification that specifies one or more modifications (union, intersection, ...) over a number of linksets or lenses. The lens inherits the specifications of all _ linksets_ and lenses it originates from.

_ Example: /download?endpoint=https://repository.goldenagents.org/v5/graphql&dataset_id=ufab7d657a250e3461361c982ce9b38f3816e0c4b__ecartico_20190805&collection_id=schema_Person_

Lenticular Lens is a tool which allows users to construct linksets between entities from different Timbuctoo datasets (so called data-alignment or reconciliation). Lenticular Lens tracks the configuration and the algorithms used in the alignment and is also able to report on manual corrections and the amount of manual validation done.

Note: This will create a folder pgdata with the database data. To clean up the database and start from scratch, simply remove this folder.

Entity-type selections is a list of JSON objects that contain the configuration of the specific entity-type selections to use for a particular job.

Specify reification with either none, standard, singleton or rdf_star to indicate how the link metadata has to be included in the RDF export.

Lenticularprinting

Specify with_properties with 'none' to return no property values, 'single' to only return a single property value or ' multiple' to return multiple property values. Specify apply_filters to apply the filters specified by the user. Specify valid with accepted, rejected, uncertain and/or unchecked to only return from the specified validity types. Specify uri to only return links with the specified URIs. Specify cluster_id to only return the links of specific clusters. Specify min and/or max to only return links with a similarity score within the specified minimum and maximum score. Specify sort if you want to enable sorting on similarity score using asc or desc.

Starts a data download from Timbuctoo from the given Timbuctoo GraphQL endpoint. Use dataset_id to specify from which dataset to download and collection_id to specify the collection from the dataset to download.

A clustering is the partitioning of the resources (URIs) in a linkset or lens into clusters based on transitivity of the links in the linkset or lens.

Lenticular Lens is a tool which allows users to construct linksets between entities from different Timbuctoo datasets (so called data-alignment or reconciliation). Lenticular Lens tracks the configuration and the algorithms used in the alignment and is also able to report on manual corrections and the amount of manual validation done.

GRIN lens

Updates a job with the given job_id. Updates the job_title, job_description, job_link, entity_type_selections , linkset_specs, lens_specs and views.

Optionally specify creator to include extra metadata. If authentication is enabled, the creator is obtained from the authentication provider.

Lenticular Lens is a tool which allows users to construct linksets between entities from different Timbuctoo datasets (so called data-alignment or reconciliation). Lenticular Lens tracks the configuration and the algorithms used in the alignment and is also able to report on manual corrections and the amount of manual validation done.

Returns the clusters of type (linkset or lens) for the linkset/lens with id of the given job_id. Use limit and offset for paging.

Cylindrical lens

Specify the uris of the source and target to identify the link to be motivated. Or filter the links by specifying apply_filters to apply the filters specified by the user. Specify valid with accepted, rejected, uncertain and/or unchecked to only return from the specified validity types. Specify uri to only return links with the specified URIs. Specify cluster_id to only return the links of specific clusters. Specify min and/or max to only return links with a similarity score within the specified minimum and maximum score.

A property path is a list of values that expresses the path in the linked data from the entity to a specific property. The list has at least one value: the property to select on the entity. If the property is a reference to another entity, you have to specify another value in the list with the id of the entity it points to. Then you can select the specific property on the referenced entity. If this is again a reference to another entity, the cycle repeats itself until you reach the required property.

Get the visualization information for a cluster with cluster_id of type (linkset or lens) for the linkset/lens with id of the given job_id.

Returns the links of type (linkset or lens) for the linkset/lens with id of the given job_id. Use limit and offset for paging.

Specify apply_filters to apply the filters specified by the user. Specify uri to only return links with the specified URIs. Specify cluster_id to only return the links of specific clusters. Specify min and/or max to only take into account links with a similarity score within the specified minimum and maximum score. Specify min_size and/or max_size to only return clusters with a size that is within the specified minimum and maximum size. Specify min_count and/or max_count to only return clusters with a links count that is within the specified minimum and maximum count.