Sparque Desk Documentation

Getting Started
Information that will help you to get started with SPARQUE.
Datasets
Information on creating knowledge graphs from data sources, defining mappings with SPARQUE Language, and loading triples into Sparque's graph database.
Strategies
Information on managing strategies using the Strategy Editor, connecting and configuring building blocks, setting API outputs, adding parameters, and creating stacked strategies for complex search tasks.
- Text Transformations for Search Term Matching
- Building Blocks
APIs
Information on managing APIs in SPARQUE Desk to connect strategies to your application.
Evaluation
Information on assessing strategy performance in SPARQUE Desk using testsets and evaluations.
Users
Information on managing user permissions and roles.
Settings
Information on managing your account settings.
Query API
Information on using the Query API. Learn about endpoints, faceted search, response types, and request options.
Miscellaneous
Information on Tuple-notation, encoding, error messages and short-hand notation.
Shopware Extension
The SPARQUE Shopware extension allows you to seamlessly integrate our powerful tools into your Shopware store, providing advanced data analytics and insights.
SPARQUE API Wrapper
Information on the SPARQUE API Wrapper, which streamlines interactions between clients, internal users, and SPARQUE Desk.
SPARQUE Hub
Information on SPARQUE Hub, the front-end component designed to simplify the interactions of clients and internal users with SPARQUE Desk.
Project Tasks
Information that will help you perform SPARQUE project tasks.
Glossary
Discover important terms and concepts used throughout SPARQUE Desk.

Home
Strategies
Information on managing strategies using the Strategy Editor, connecting and configuring building blocks, setting API outputs, adding parameters, and creating stacked strategies for complex search tasks.
Building Blocks
Experimental
Term Alternatives

Getting Started
Information that will help you to get started with SPARQUE.
Datasets
Information on creating knowledge graphs from data sources, defining mappings with SPARQUE Language, and loading triples into Sparque's graph database.
Strategies
Information on managing strategies using the Strategy Editor, connecting and configuring building blocks, setting API outputs, adding parameters, and creating stacked strategies for complex search tasks.
- Text Transformations for Search Term Matching
- Building Blocks
APIs
Information on managing APIs in SPARQUE Desk to connect strategies to your application.
Evaluation
Information on assessing strategy performance in SPARQUE Desk using testsets and evaluations.
Users
Information on managing user permissions and roles.
Settings
Information on managing your account settings.
Query API
Information on using the Query API. Learn about endpoints, faceted search, response types, and request options.
Miscellaneous
Information on Tuple-notation, encoding, error messages and short-hand notation.
Shopware Extension
The SPARQUE Shopware extension allows you to seamlessly integrate our powerful tools into your Shopware store, providing advanced data analytics and insights.
SPARQUE API Wrapper
Information on the SPARQUE API Wrapper, which streamlines interactions between clients, internal users, and SPARQUE Desk.
SPARQUE Hub
Information on SPARQUE Hub, the front-end component designed to simplify the interactions of clients and internal users with SPARQUE Desk.
Project Tasks
Information that will help you perform SPARQUE project tasks.
Glossary
Discover important terms and concepts used throughout SPARQUE Desk.

Term Alternatives

Description

Produces a list of term alternatives, constructed from the given term list. Notice that this is different from synonyms, as it is a one-way relation. It assumes synonyms to be modeled as anonymous sets where a number of terms have a set of one-way alternatives:

(altset1, term, fiets)
(altset1, term, stadsfiets)
(altset1, alternative, damesfiets)
(altset1, alternative, herenfiets)

This means: When query terms include fiets or stadsfiets, add damesfiets and herenfiets.

Input

DS [OBJ]: the dataset where synonym relations are defined.
SOURCE [STRING]: a list of strings (single-token strings are expected)

Output

PAIRS [STRING,STRING]: pairs of original terms and their alternatives. The original terms are not included here unless they have alternatives defined.
EXPANDED [STRING]: the original terms (always present) + the alternatives found.

Parameters

Property term: the string property to identify synonyms. Default is term.
Use sub-properties term: when set to true, the values of all sub properties are also included. Sub-properties can be defined in the data with the rdfs:subPropertyOf relation.
Language term: when a language is selected, only the strings in this language are extracted. This uses the language tags that are defined in the data.
Property alternative: the string property to identify synonyms. Default is alternative.
Use sub-properties alternative: when set to true, the values of all sub properties are also included. Sub-properties can be defined in the data with the rdfs:subPropertyOf relation.
Language alternative: when a language is selected, only the strings in this language are extracted. This uses the language tags that are defined in the data.
Stemming: tokens can be stemmed for a specific language or left as they are
Case-sensitive: if set to false, upper/lower case is ignored