Merge pull request #4 from AKSW/dev

added missing 'es' flag to eswc24 publications

aksw.bib

@@ -12516,7 +12516,7 @@ @InProceedings{Brei2024Leveragingsmalllanguage
   volume    = {3707},
   abstract  = {In this work we will show that language models with less than one billion parameters can be used to translate natural language to SPARQL queries after fine-tuning. Using three different datasets ranging from academic to real world, we identify prerequisites that the training data must fulfill in order for the training to be successful. The goal is to empower users of semantic web technology to use AI assistance with affordable commodity hardware, making them more resilient against external factors},
   doi       = {10.48550/arXiv.2405.17076},
-  keywords  = {group_aksw sys:relevantFor:infai frey lpmeyer},
+  keywords  = {group_aksw sys:relevantFor:infai es frey lpmeyer},
   url       = {https://ceur-ws.org/Vol-3707/D2R224_paper_5.pdf},
 }
 
@@ -12526,7 +12526,7 @@ @InProceedings{Frey2024AssessingEvolutionLLM
   title     = {Assessing the Evolution of LLM capabilities for Knowledge Graph Engineering in 2023},
   year      = {2024},
   abstract  = {In this study, we evaluate the evolution of LLM capabilities w.r.t. the RDF Turtle and SPARQL language as foundational skills to assist with various KGE tasks. We measure the LLM response quality using 6 LLM-KG-Bench tasks for a total of 15 LLM versions available over the course of 2023, covering 5 different “major version” LLM classes (GPT3.5 Turbo, GPT4, Claude-1.x, Claude-2.x, and Claude-instant-1.x).},
-  keywords  = {group_aksw sys:relevantFor:infai frey lpmeyer martin},
+  keywords  = {group_aksw sys:relevantFor:infai es frey lpmeyer martin},
   url       = {https://2024.eswc-conferences.org/wp-content/uploads/2024/05/77770050.pdf},
 }
 
@@ -12539,7 +12539,7 @@ @InProceedings{Kilic2024TowardsRegionalPublic
   series    = {CEUR-WS},
   volume    = {3707},
   abstract  = {The paper presents ongoing work on a public dashboard that displays the trade relationships of a regional economy in Germany (Saxony) and uses semantic data integration techniques to connect it with localized information on global crisis events in supplying countries. Furthermore, it quantifies the impact of external supply shocks on (subregions of) the Saxon economy in quasi-real time and provides estimates of changes in macroeconomic determinants based on a regional input-output model. The dashboard will be a public resource to support decision makers from politics, business and administration in mitigating the effects of crises and improving regional resilience.},
-  keywords  = {group_aksw sys:relevantFor:infai kilic grabo radtke martin},
+  keywords  = {group_aksw sys:relevantFor:infai es kilic grabo radtke martin},
   url       = {https://ceur-ws.org/Vol-3707/D2R224_paper_7.pdf},
 }