TriplyDB is a new and fast-moving Linked Data Knowledge Graph product. TriplyDB allows you to easily upload datasets and expose them through multiple APIs (including SPARQL, RESTful, text search, analytics, etc). Read More.
This section explains how to create a Linked Dataset in TriplyDB.
- Log into a TriplyDB instance.
- Click the
+button on the dataset pane that appears on the right-hand side of the screen.
- This brings up the dialog for creating a new dataset. You must
enter a dataset name that consists of alphanumeric characters
A-Za-z0-9) and hyphens (
- Optionally enter a dataset description. This can be either text or Markdown. You can also change the access level of the dataset, which is set to “Private” by default.
Once the dataset is created, the “Add data” view is displayed (see screenshot). In this view data can be added in three ways: file upload, URL upload, and data import. The following screenshot shows the “Add data” view, with the three approaches displayed on top of one another.
In this view RDF files can be uploaded, either by clicking on the cloud icon and selecting files through the “Open file” dialog, or by dragging-and-dropping files onto the cloud icon. The following RDF serialization formats are supported:
One or more files can be uploaded. It is also possible to upload compressed files and archives. When the number of files exceeds 1.000, it is better to upload one archive file that contains them all. This allows an arbitrary number of files to be uploaded. The following archive/compression formats are supported:
TriplyDB only allows valid data to be added. If data is malformed, TriplyDB will show an error message that indicates which part of the data is malformed (see screenshot). If such malformed data is encountered, the RDF file must first be corrected and uploaded again.
The second option for adding data is to include it from an online URL location. This is done by entering the URL inside the “Add data from a URL” text field.
The third option for adding data is to import from datasets that are published in the same TriplyDB instance. This is done with the “Add data from an existing dataset” dropdown list (see screenshot).
To expose data with content, such as images, you can upload these as assets to your dataset. The assets can be referenced in your dataset via their URL.
With TriplyDB you can easily make your data available to the outside world.
You can publish your dataset by simply setting the visibility to
Public in the settings menu
of your dataset. Not only will this allow anyone to visit your dataset in the TriplyDB instance,
it will also allow your services to be queried by anyone and make your data visible to
search engines for instance.
Adding metadata to your datasets is important. This makes it easier to find your dataset later and also allows search engines and social media applications to understand your dataset.
Metadata is entered from the dataset settings page, which is accessed by clicking on the “Dataset settings” (cog icon) option from the left-hand sidebar (see screenshot).
The dataset homepage looks empty without metadata. Notice the cog wheel icon, which provides access to the “Dataset settings” page.
The dataset settings page allows the following metadata to be entered:
- The dataset description. This can consist of text with (optional) Markdown formatting.
- The avatar (image) of the dataset.
- The access level of the dataset.
- The topics of the dataset.
- The example resources for the dataset.
- The license of the dataset.
The dataset settings page allows various forms of dataset metadata to be added.
Within the TriplyDB instance your dataset is now more findable for users. Whenever a user searches on one of the topics of your dataset, or types in a word that is present in the description of your dataset, the dataset will be shown as a search result. The metadata will allow TriplyDB to give a better impression of your dataset when a user vitits:
The dataset home page after metadata has been entered.
Search engines and social media applications can recognize the metadata that is entered for datasets in TriplyDB. The following screenshot shows the widget created by the Slack chat application upon entering a link to the dataset. Notice that the chat application understands metadata properties like title, description, and image.
Widget created by the Slack chat application upon sharing a link to a dataset in TriplyDB.
By default, datasets in TriplyDB can be queried through the Triply Client as well as through the Linked Data Fragments API.
In order to allow additional query paradigms, specific services can be started from the “Create service” page. This page is accessed by clicking on the “Services” icon in the left-hand sidebar.
TriplyDB instances can be configured with different types of services. The below screenshot shows the “Create service” page for a TriplyDB instance that allows SPARQL, Jena SPARQL, and ElasticSearch services to be created.
Notice that three different types of services can be created.
It is possible to create multiple services for one dataset.
Existing services are displayed on service widgets (see screenshot). From these widgets, services can be created, deleted, stopped, and restarted.
Datasets can change whenever a graph is added, deleted or renamed. When this happens, the data in a service is out of sync with the data in the dataset and a synchronization button will appear in the service widget. By clicking the button, the service will be synchronized with the current state of the dataset.
TriplyDB offers several ways to explore your datasets.
The linked data browser offers to traverse the data by focusing on one node at the time. The node is describe using it's properties, which can be followed to other nodes in the graph.
The tabular browser show the dataset in a table supported by Triple Pattern Fragments (TPF).
When a dataset has a running ElasticSearch service, Text Search can help you exploring a dataset. Text Search works like a search engine and returns any node that contains your search term, or contains the search term in any of it's properties.
A Saved Query is a versioned SPARQL query with its own URL. Using this URL, users are able to view any version of the query and its results. It can also be used to run the query and retrieve the results from a browser or a program, removing the hassle of figuring out how to run a SPARQL query.
There are two ways to create a saved query. You need to be logged in and have authorization rights on the dataset to use this feature
- When working from the SPAQRL IDE
- Using the Saved Queries tab in a dataset
Creating a saved query with the SPARQL IDE is done by writing a query/visualization and hitting the save button
Updating the saved query can be done by clicking a query in the Saved Queries tab and editing the query or the visualization. Hit the save button to save it as a new version.
To use a saved query, for example in Data Stories, you can copy the link that is
used when you open the query in TriplyDB. Let's say you have a query called
Timelined-Cars-BETA in the dataset
core under the account
dbpedia and you
want to use version 6. Than the following link would be used
If you want to always use the latest query, you can simply omit the version number like so
You can use a saved query in your datastory by defining a
<query> element. within the
query element you define the
data-config-ref="URI" with the URI of a saved query in TriplyDB.
For more in depth tutorial on how to create your own datastory you can read our documentation on datastories.
Admin tasks are performed within the admin settings page (accessed by clicking on the user menu in top-right corner and selecting the “Admin settings” menu item).
This brings up the following admin settings page from which admin tasks can be performed:
Screenshot of the admin settings page.
New users can only be created by administrators by performing the following steps:
- Click on the “Admin settings” link in the user menu (top-right corner) and click the “Accounts” tab. This brings up an overview of all users and organizations on the TriplyDB instance.
- Click the “Add user” button.
- Fill in the user name and email address of the prospective user.
The user name must consist of alphanumeric characters (
A-Za-z) and hyphens (
- Click the “Add user” button. This sends an account creation email to the prospective user, containing a link that allows them to log in.
In addition to the above default procedure, the following two options are provided for user account creation:
- Temporary account: By default, user accounts do not expire. Sometimes it is useful to create a temporary account by specifying a concrete date in the “Account expiration date” widget.
- Preset password: By default, a user can set her password after logging in for the first time by clicking on the link in the account creation email. When a password is entered in the “Password” field, the user must enter this password in order to log in for the first time.
Go to the “Accounts tab” to receive an overview of all accounts on the TriplyDB instance.
The type of account can be observed based on the following icons: