Generating Transparent and Query-Based RDF Layers.

Nils Rollshausen; Eduard Kamburjan; Martin Giese

Generating Transparent and Query-Based RDF Layers.

Nils Rollshausen
, Eduard Kamburjan
, Martin Giese

Darmstadt University of Technology
University of Oslo

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Abstract

We present inkblot, a software tool that generates object-oriented API code to represent the data found in a semantic model in a way suitable for programmers not familiar with semantic technologies. The API interacts with an RDF triple store via a SPARQL endpoint, but hides this connection from the programmer. The approach generates adequately typed fields and methods, based on the types and cardinalities in the data. Unlike previous work, the generation is not driven by an OWL ontology or similar declarative description of the application domain, but by a SPARQL query that accesses the pertinent data.

Original language	English
Title of host publication	SOFLIM4KG@ISWC
Publisher	Springer
Publication date	2024
Pages	1-15
ISBN (Electronic)	978-3-031-51059-5
Publication status	Published - 2024
Externally published	Yes
Event	International Semantic Web Conference - Baltimore, United States Duration: 12 Nov 2024 → 12 Nov 2024 Conference number: 23th

Conference

Conference	International Semantic Web Conference
Number	23th
Country/Territory	United States
City	Baltimore
Period	12/11/2024 → 12/11/2024

Keywords

Code generation
Graph query
Object-orientation

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title = "Generating Transparent and Query-Based RDF Layers.",

abstract = "We present inkblot, a software tool that generates object-oriented API code to represent the data found in a semantic model in a way suitable for programmers not familiar with semantic technologies. The API interacts with an RDF triple store via a SPARQL endpoint, but hides this connection from the programmer. The approach generates adequately typed fields and methods, based on the types and cardinalities in the data. Unlike previous work, the generation is not driven by an OWL ontology or similar declarative description of the application domain, but by a SPARQL query that accesses the pertinent data.",

keywords = "Code generation, Graph query, Object-orientation",

author = "Nils Rollshausen and Eduard Kamburjan and Martin Giese",

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TY - GEN

T1 - Generating Transparent and Query-Based RDF Layers.

AU - Rollshausen, Nils

AU - Kamburjan, Eduard

AU - Giese, Martin

N1 - Conference code: 23th

PY - 2024

Y1 - 2024

N2 - We present inkblot, a software tool that generates object-oriented API code to represent the data found in a semantic model in a way suitable for programmers not familiar with semantic technologies. The API interacts with an RDF triple store via a SPARQL endpoint, but hides this connection from the programmer. The approach generates adequately typed fields and methods, based on the types and cardinalities in the data. Unlike previous work, the generation is not driven by an OWL ontology or similar declarative description of the application domain, but by a SPARQL query that accesses the pertinent data.

AB - We present inkblot, a software tool that generates object-oriented API code to represent the data found in a semantic model in a way suitable for programmers not familiar with semantic technologies. The API interacts with an RDF triple store via a SPARQL endpoint, but hides this connection from the programmer. The approach generates adequately typed fields and methods, based on the types and cardinalities in the data. Unlike previous work, the generation is not driven by an OWL ontology or similar declarative description of the application domain, but by a SPARQL query that accesses the pertinent data.

KW - Code generation

KW - Graph query

KW - Object-orientation

M3 - Article in proceedings

SP - 1

EP - 15

BT - SOFLIM4KG@ISWC

PB - Springer

T2 - International Semantic Web Conference

Y2 - 12 November 2024 through 12 November 2024

ER -

Generating Transparent and Query-Based RDF Layers.

Abstract

Conference

Keywords

Access to Document

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Cite this