URI*
|
https://w3id.org/semts/ontology#
https://w3id.org/semts/ontology#
|
Abstract
|
SemTS is an ontology to semantically structure insights gained from multivariate time series analyses combined with domain-specific information. The concept of SemTS constitutes a specification of informative data points or intervals within time series data, further referred to as segments. Any segment comprises characteristic knowledge associated with the covered time interval. Examples of such knowledge range from common time series features, and structural particularities such as anomalies or motifs, to apriori information provided by domain experts. A classification and semantic representation of this knowledge enables organized reusability and effective propagation.
See more...
|
Contact*
|
Admin (admin@admin.com)
|
Object creation date property
|
http://purl.org/dc/elements/1.1/created
http://purl.org/dc/elements/1.1/created
|
Submission date
|
January 9, 2026
|
Depiction
|
https://raw.githubusercontent.com/semts-ontology/SemTS/refs/heads/main/assets/images/semts.svg
https://raw.githubusercontent.com/semts-ontology/SemTS/refs/heads/main/assets/images/semts.svg
|
Deprecated
|
false
See more...
|
Description*
|
SemTS is an ontology designed to identify and describe segments within time series data, which are specific data points or intervals that can overlap. These segments encompass characteristic knowledge about the time interval they cover, including common time series features, structural anomalies, motifs, or information provided by domain experts. By classifying and semantically representing this knowledge, SemTS promotes organized reusability and efficient propagation, potentially reducing resource expenditure while enhancing future analyses. It employs established semantic approaches. Examples are DCAT to reference associated time series data, OWL-Time to define the index structure of time series data and segments or ML-Schema to expand the expressiveness regarding data analysis task information. SemTS's design involves categorizing time series knowledge and mapping it to specific intervals and dimensions of time series data. It introduces a class called TimeSeriesSegment to model these segments, extending the DCAT Dataset class to enable segments to be part of other segments. This structure allows for the association of knowledge, such as anomalies, with particular intervals or data points. TimeIndex specifications extend OWL-Time classes, while dimensional details are represented by DataDimension. The segment-wise consideration of knowledge indirectly serves as an index structure, linking meaningful time series data with categorized knowledge. At the highest level of abstraction, time series knowledge is divided into three categories: DataKnowledge, ScenarioKnowledge, and MethodKnowledge. DataKnowledge refers to insights extracted directly from the data or through analytical methods, such as class membership from time series clustering. ScenarioKnowledge describes verified contexts, including data annotations or domain-specific process knowledge, often equating to expert-provided a priori information and can also define facts derived from inferred knowledge. MethodKnowledge encompasses effective analytical method presets or mathematical/logical equivalents of established process information.
See more...
|
Specializes
|
http://www.w3.org/ns/mls
http://www.w3.org/ns/mls
http://www.w3.org/2000/01/rdf-schema#
http://www.w3.org/2000/01/rdf-schema#
http://www.w3.org/2002/07/owl
http://www.w3.org/2002/07/owl
http://www.w3.org/ns/dcat
http://www.w3.org/ns/dcat
http://www.w3.org/2004/02/skos/core
http://www.w3.org/2004/02/skos/core
http://www.w3.org/ns/prov#
http://www.w3.org/ns/prov#
|
Contributor
|
|
Creator
|
|
License
|
|
Representation language*
|
OWL
See more...
|
Syntax
|
https://www.w3.org/ns/formats/data/N3
https://www.w3.org/ns/formats/data/N3
|
Prior version
|
https://w3id.org/semts/ontology/101#
https://w3id.org/semts/ontology/101#
|
Indexed or included in catalog or repository
|
https://lov.linkeddata.es/dataset/lov
https://lov.linkeddata.es/dataset/lov
|
Generic type
|
http://omv.ontoware.org/2005/05/ontology#Vocabulary
http://omv.ontoware.org/2005/05/ontology#Vocabulary
|
Keywords
|
Time
See more...
|
Logo
|
https://raw.githubusercontent.com/semts-ontology/SemTS/78047e27e691f5ac7878d93bec2f25ab514bd06d/assets/images/logo.png
https://raw.githubusercontent.com/semts-ontology/SemTS/78047e27e691f5ac7878d93bec2f25ab514bd06d/assets/images/logo.png
|
Metadata vocabulary used
|
http://www.w3.org/1999/02/22-rdf-syntax-ns#
http://www.w3.org/1999/02/22-rdf-syntax-ns#
http://purl.org/vocab/vann/
http://purl.org/vocab/vann/
http://xmlns.com/foaf/0.1/
http://xmlns.com/foaf/0.1/
http://www.w3.org/2000/01/rdf-schema#
http://www.w3.org/2000/01/rdf-schema#
http://www.w3.org/2002/07/owl
http://www.w3.org/2002/07/owl
http://purl.org/dc/terms/
http://purl.org/dc/terms/
https://schema.org/
https://schema.org/
https://w3id.org/widoco/vocab#
https://w3id.org/widoco/vocab#
|
Modification date
|
September 3, 2025
|
Object modification date property
|
http://purl.org/dc/elements/1.1/modified
http://purl.org/dc/elements/1.1/modified
|
Natural language
|
|
Generally related to or relies on
|
http://qudt.org/schema/qudt#
http://qudt.org/schema/qudt#
http://www.w3.org/2001/XMLSchema
http://www.w3.org/2001/XMLSchema
http://www.w3.org/2006/time
http://www.w3.org/2006/time
|
Preferred namespace prefix
|
semts
See more...
|
Preferred namespace URI
|
https://w3id.org/semts
https://w3id.org/semts
|
Publisher
|
|
Creation date*
|
August 2, 2025
|
Status*
|
production
See more...
|
URI Lookup Endpoint
|
https://earthportal.eu/search?ontologies=SEMTS&require_exact_match=true&q=
search?ontologies=SEMTS&require_exact_match=true&q=
|
Version information
|
1.1.0
See more...
|
Version IRI
|
https://w3id.org/semts/ontology/110#
https://w3id.org/semts/ontology/110#
|
Scroll down to see more
Loading
Loading
Loading
Loading