Browse Prior Art Database

Method and system for declaring derived measurements in a Semantic Model

IP.com Disclosure Number: IPCOM000236365D
Publication Date: 2014-Apr-22
Document File: 4 page(s) / 55K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system for declaring derived measurements in a Semantic Model is disclosed.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 51% of the total text.

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Method and system for declaring derived measurements in a Semantic Model

Disclosed is a method and system for declaring derived measurements in a Semantic Model.

Companies are discovering the advantages of declaring their physical infrastructure, and associated sensor measurements, in a Semantic Model.

A Semantic Model can have these benefits:

A Human- and Machine-Readable declaration of infrastructure and associated measurements
Industry-specific terminology can be used
Entities, their properties, and their relationships can be easily declared
Can be queried using SPARQL query language

The format of a Semantic Model is governed by an Ontology. There are many standards developing for different industry Ontologies. The most relevant is Reference Semantic Model (RSM), which includes the following entities:

RSM_ProductionUnit

RSM_WorkEquipment
RSM_Measurement
RSM_MeasurementValue

An Ontology defines a static representation of the semi-permanent physical infrastructure. The fields declare meta-level details which are not expected to change, and are not used for any dynamic logic.

However, the customer often requires pre-processing to a measurement value before it is usable. They may require custom calculations or aggregations in order to derive a usable value from the raw measurement.

This is a problem when the user requires calculations to be done which are specific to certain entities in the Semantic Model. Associating those calculations with the Semantic Model entities requires this innovative approach. Otherwise, those calculations must be stored elsewhere, introducing a new file/database to store them, and possible problem to align the calculations with the Semantic Model entities.

A useful example calculation would be to normalize all Measurements of a certain class of sensor to a value that allows them to be compared. For example, converting sewer water level indicators (Feet) to a depth (Percentage) accounting for their differing heights - and then comparing each sewer level as a percentage from 0 - 100%!

Disclosed is the concept of "Derived Measurements" , a method for declaring them through an extension to the RSM Ontology, and a system for calculating their values in a way that blends them seamlessly together in the Semantic Model with the raw

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measurements.

Ontologies can be extended to add new entities, properties, and relationships. A Semantic Model can then declare additional entities, properties, and relationships which are not in the base Ontology (such as RSM). Derived Measurements are declared using a novel extension to the RSM Ontology. They look just like raw measurements, and are queried by the user in the exact same way.

The system must implement a query to the Semantic Model which discovers for each Measurement if it is derived (with a specified calculation) from an existing Measurement value which has been received. That system includes the engine to perform the calculation. Therefore, values for Der...