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.
- 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.
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
Rank
Binom Rank by Dbl

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.
- 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.
Glossary
Discover important terms and concepts used throughout SPARQUE Desk.

Binom Rank by Dbl

Description

Rank objects binomially depending on a double property of theirs.

Input

SOURCE [OBJ]: the list of objects to rank

Output

INCREASING [OBJ]: ranked objects using the specified ranking curve with increasing monotonicity (i.e., the rank tends towards 1 on the right side of the tipping point and towards 0 on the left).
DECREASING [OBJ]: ranked objects using the specified ranking curve with decreasing monotonicity (i.e., the rank tends towards 0 on the right side of the tipping point and towards 1 on the left). For most cases, this is just the complement of INCREASING with the exception of the Heaviside function.

Parameters

Property: the double property to use for the binomial ranking
Use sub-properties: 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.
Ranking curve: the binomial ranking curve (a.k.a. activation function) to be used. Possible options are Sigmoid (logistic function), Heaviside (step function), Arctan, Softsign and Piecewise Linear. All of these are scaled such that the resulting ranks lie between 0 and 1.
Tipping Point: for Sigmoid, Arctan, Softsign and Piecewise Linear, this is the point where the ranking curve attains 0.5. For Heaviside, this is the point where the curve jumps from 0 to 1.
Slope: Specifies the slope at the tipping point. The higher the slope, the steeper the curve. For Heaviside, this is interpreted as the value at the tipping point.