Rosetta Statements: Simplifying FAIR Knowledge Graph Construction with a User-Centered Approach

Fuente: arXiv
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Hauptverfasser: Vogt, Lars, Farfar, Kheir Eddine, Karanth, Pallavi, Konrad, Marcel, Oelen, Allard, Prinz, Manuel, Stroemert, Philip
Format: Preprint
Veröffentlicht: 2024
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author Vogt, Lars
Farfar, Kheir Eddine
Karanth, Pallavi
Konrad, Marcel
Oelen, Allard
Prinz, Manuel
Stroemert, Philip
author_facet Vogt, Lars
Farfar, Kheir Eddine
Karanth, Pallavi
Konrad, Marcel
Oelen, Allard
Prinz, Manuel
Stroemert, Philip
contents Machines need data and metadata to be machine-actionable and FAIR (findable, accessible, interoperable, reusable) to manage increasing data volumes. Knowledge graphs and ontologies are key to this, but their use is hampered by high access barriers due to required prior knowledge in semantics and data modelling. The Rosetta Statement approach proposes modeling English natural language statements instead of a mind-independent reality. We propose a metamodel for creating semantic schema patterns for simple statement types. The approach supports versioning of statements and provides a detailed editing history. Each Rosetta Statement pattern has a dynamic label for displaying statements as natural language sentences. Implemented in the Open Research Knowledge Graph (ORKG) as a use case, this approach allows domain experts to define data schema patterns without needing semantic knowledge. Future plans include combining Rosetta Statements with semantic units to organize ORKG into meaningful subgraphs, improving usability. A search interface for querying statements without needing SPARQL or Cypher knowledge is also planned, along with tools for data entry and display using Large Language Models. The Rosetta Statement metamodel supports a three-step knowledge graph construction procedure. Domain experts can model semantic content without support from ontology engineers by using Wikidata, lowering entry barriers and increasing cognitive interoperability. The second level involves mapping Wikidata terms to established ontologies, and the third step developing semantic graph patterns for reasoning, requiring collaboration with ontology engineers.
format Preprint
id arxiv_https___arxiv_org_abs_2407_20007
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Rosetta Statements: Simplifying FAIR Knowledge Graph Construction with a User-Centered Approach
Vogt, Lars
Farfar, Kheir Eddine
Karanth, Pallavi
Konrad, Marcel
Oelen, Allard
Prinz, Manuel
Stroemert, Philip
Databases
Machines need data and metadata to be machine-actionable and FAIR (findable, accessible, interoperable, reusable) to manage increasing data volumes. Knowledge graphs and ontologies are key to this, but their use is hampered by high access barriers due to required prior knowledge in semantics and data modelling. The Rosetta Statement approach proposes modeling English natural language statements instead of a mind-independent reality. We propose a metamodel for creating semantic schema patterns for simple statement types. The approach supports versioning of statements and provides a detailed editing history. Each Rosetta Statement pattern has a dynamic label for displaying statements as natural language sentences. Implemented in the Open Research Knowledge Graph (ORKG) as a use case, this approach allows domain experts to define data schema patterns without needing semantic knowledge. Future plans include combining Rosetta Statements with semantic units to organize ORKG into meaningful subgraphs, improving usability. A search interface for querying statements without needing SPARQL or Cypher knowledge is also planned, along with tools for data entry and display using Large Language Models. The Rosetta Statement metamodel supports a three-step knowledge graph construction procedure. Domain experts can model semantic content without support from ontology engineers by using Wikidata, lowering entry barriers and increasing cognitive interoperability. The second level involves mapping Wikidata terms to established ontologies, and the third step developing semantic graph patterns for reasoning, requiring collaboration with ontology engineers.
title Rosetta Statements: Simplifying FAIR Knowledge Graph Construction with a User-Centered Approach
topic Databases
url https://arxiv.org/abs/2407.20007