Merge remote-tracking branch 'origin/v1.0-DEV' into v1.0-DEV

.github/workflows/publish_to_mvn-central.yml

@@ -22,6 +22,7 @@ jobs:
             echo -e "Releasing ${{ github.ref_name }}"
             echo -e "$(tty)"
             gpg --version
+            mvn -version
             # This avoids gpg: signing failed: Inappropriate ioctl for device error
             # See https://github.com/keybase/keybase-issues/issues/2798
             export GPG_TTY=$(tty)

README.md

@@ -681,31 +681,41 @@ SPARQL Anything is distributed under [Apache 2.0 License](LICENSE)
 
 **For citing SPARQL Anything in academic papers please use:**
 
-Luigi Asprino, Enrico Daga, Aldo Gangemi, and Paul Mulholland. 2022. Knowledge Graph Construction with a façade: a
-unified method to access heterogeneous data sources on the Web. ACM Trans. Internet Technol. Just Accepted (2022)
+Luigi Asprino, Enrico Daga, Aldo Gangemi, and Paul Mulholland. "Knowledge Graph Construction with a façade: a
+unified method to access heterogeneous data sources on the Web". ACM Transactions on Internet Technology (2022)
 . https://doi.org/10.1145/3555312 [Preprint](https://sparql.xyz/FacadeX_TOIT.pdf)
 
 ```bibtex
 @article{10.1145/3555312,
-author = {Asprino, Luigi and Daga, Enrico and Gangemi, Aldo and Mulholland, Paul},
-title = {Knowledge Graph Construction with a Fa\c{c}ade: A Unified Method to Access Heterogeneous Data Sources on the Web},
-year = {2022},
-publisher = {Association for Computing Machinery},
-address = {New York, NY, USA},
-issn = {1533-5399},
-url = {https://doi.org/10.1145/3555312},
-doi = {10.1145/3555312},
-abstract = {Data integration is the dominant use case for RDF Knowledge Graphs. However, Web resources come in formats with weak semantics (for example CSV and JSON), or formats specific to a given application (for example BibTex, HTML, and Markdown). To solve this problem, Knowledge Graph Construction (KGC) is gaining momentum due to its focus on supporting users in transforming data into RDF. However, using existing KGC frameworks result in complex data processing pipelines, which mix structural and semantic mappings, whose development and maintenance constitute a significant bottleneck for KG engineers. Such frameworks force users to rely on different tools, sometimes based on heterogeneous languages, for inspecting sources, designing mappings, and generating triples, thus making the process unnecessarily complicated. We argue that it is possible and desirable to equip KG engineers with the ability of interacting with Web data formats by relying on their expertise in RDF and the well-established SPARQL query language [2]. In this article, we study a unified method for data access to heterogeneous data sources with Facade-X, a meta-model implemented in a new data integration system called SPARQL Anything. We demonstrate that our approach is theoretically sound, since it allows a single meta-model, based on RDF, to represent data from (a) any file format expressible in BNF syntax, as well as (b) any relational database. We compare our method to state-of-the-art approaches in terms of usability (cognitive complexity of the mappings) and general performance. Finally, we discuss the benefits and challenges of this novel approach by engaging with the reference user community.},
-journal = {ACM Trans. Internet Technol.},
-keywords = {RDF, SPARQL, Meta-model, Re-engineering}
+    author = {Asprino, Luigi and Daga, Enrico and Gangemi, Aldo and Mulholland, Paul},
+    title = {Knowledge Graph Construction with a Fa\c{c}ade: A Unified Method to Access Heterogeneous Data Sources on the Web},
+    year = {2022},
+    publisher = {Association for Computing Machinery},
+    address = {New York, NY, USA},
+    issn = {1533-5399},
+    url = {https://doi.org/10.1145/3555312},
+    doi = {10.1145/3555312},
+    abstract = {Data integration is the dominant use case for RDF Knowledge Graphs. However, Web resources come in formats with weak semantics (for example CSV and JSON), or formats specific to a given application (for example BibTex, HTML, and Markdown). To solve this problem, Knowledge Graph Construction (KGC) is gaining momentum due to its focus on supporting users in transforming data into RDF. However, using existing KGC frameworks result in complex data processing pipelines, which mix structural and semantic mappings, whose development and maintenance constitute a significant bottleneck for KG engineers. Such frameworks force users to rely on different tools, sometimes based on heterogeneous languages, for inspecting sources, designing mappings, and generating triples, thus making the process unnecessarily complicated. We argue that it is possible and desirable to equip KG engineers with the ability of interacting with Web data formats by relying on their expertise in RDF and the well-established SPARQL query language [2]. In this article, we study a unified method for data access to heterogeneous data sources with Facade-X, a meta-model implemented in a new data integration system called SPARQL Anything. We demonstrate that our approach is theoretically sound, since it allows a single meta-model, based on RDF, to represent data from (a) any file format expressible in BNF syntax, as well as (b) any relational database. We compare our method to state-of-the-art approaches in terms of usability (cognitive complexity of the mappings) and general performance. Finally, we discuss the benefits and challenges of this novel approach by engaging with the reference user community.},
+    journal = {ACM Transactions on Internet Technology},
+    keywords = {RDF, SPARQL, Meta-model, Re-engineering}
 }
 ```
 
-Conference paper mainly focussing on system requirements:
+Paul Warren, Paul Mulholland, Enrico Daga, and Luigi Asprino. "Path-based and triplification approaches to mapping data into RDF: user behaviours and recommendations". In: Semantic Web (2024), to appear [Pre-print](https://content.iospress.com/articles/semantic-web/sw243585)
 
-Daga, Enrico; Asprino, Luigi; Mulholland, Paul and Gangemi, Aldo (2021). Facade-X: An Opinionated Approach to SPARQL
-Anything. In: Alam, Mehwish; Groth, Paul; de Boer, Victor; Pellegrini, Tassilo and Pandit, Harshvardhan J. eds. Volume
-53: Further with Knowledge Graphs, Volume 53. IOS Press, pp. 58–73.
+```bibtex
+@article{Warren2024,
+  title={Path-based and triplification approaches to mapping data into RDF: User behaviours and recommendations},
+  author={Warren, Paul and Mulholland, Paul and Daga, Enrico and Asprino, Luigi},
+  journal={Semantic Web},
+  number={(to appear)},
+  publisher={IOS Press}
+}
+```
+
+
+
+Enrico Daga, Luigi Asprino, Paul Mulholland, and Aldo Gangemi. "Facade-X: An Opinionated Approach to SPARQL Anything". In: Alam, Mehwish; Groth, Paul; de Boer, Victor; Pellegrini, Tassilo and Pandit, Harshvardhan J. eds. Volume 53: Further with Knowledge Graphs, Volume 53. IOS Press, pp. 58–73.
 
 DOI: https://doi.org/10.3233/ssw210035 | [PDF](http://oro.open.ac.uk/78973/1/78973.pdf)
 

TUTORIALS.md

@@ -9,6 +9,7 @@ Here is a list of step-by-step tutorials covering several features of SPARQL Any
 - [Construct a KG from YAML annotations in Markdown file headers](https://github.com/SPARQL-Anything/showcase-polifonia-ecosystem): A short but complex case demonstrating how to chain multiple transformations starting from a set of Markdown files, queried to extract the YAML header, which is in turn queried to derive the annotations, that are in turn projected into a KG!
 - [Populate a Music Ontology from MusicXML files](https://github.com/SPARQL-Anything/showcase-musicxml): An advanced application of SPARQL Anything to query MusicXML files and derive note sequences, computing n-grams, and populating a Music Notation ontology.
 - [Querying a Relational Database](https://github.com/justin2004/weblog/blob/master/relational_as_graph/README.md): this tutorials shows you how to query a relational database by using SPARQL Anything (even if the tool does not support yet this feature natively).
+- [How cool would it be to have a single query to get an overview of the content of any input sources?](https://colab.research.google.com/drive/1R5zeIx4IutF0cc4oTc45CrXjdTSGP4eW?usp=sharing#scrollTo=MgVgJ526sd3e): This is a Colab notebook describing how to build a SPARQL Anything query to get an overview of the schema of any source. The query is plain SPARQL 1.1 but thanks to Facade-X model and SPARQL Anything it also works with any format. Related Discussion: [#508](https://github.com/SPARQL-Anything/sparql.anything/discussions/508)
 
 
 # Online presentations