%0 Conference Paper %1 Alexiev2021-ENDORSE %A Alexiev, Vladimir %B European Data Conference on Reference Data and Semantics (ENDORSE 2021) %D 2021 %K AgroVoc COVID EuroVoc Getty_Vocabularies Holocaust_research Knowledge_Organization_System PoolParty Quran Semaphore Synaptica VocBench Zika_virus academic/research_data art_history bibliography bilingual_data biomedical_ontologies building_information_management business_process_management chemistry clinical_trials construction_projects crisis_management critical_incidents data_journalism data_marketplaces economic_research engineering enterprise_data_integration food_and_drink geographic_information graph_database iconography investment_decision_support investment_recommendations knowledge_graph life_sciences linguistic_data maritime_data master_data_management medicines musical_adaptations musical_events offshore_leaks semantic_database semantic_publishing semantic_repository semantic_text_analysis sensor_networks smart_cities social_media_analytics statistical_data tourism %T Diverse Uses of a Semantic Graph Database for Knowledge Organization and Research %U https://op.europa.eu/documents/7525478/8087182/ALEXIEV_presentation_Diverse+Uses+of+a+Semantic+Graph+Database+for+Knowledge+Organization+and+Research.pdf %X Semantic Graph Databases are the foundation of Enterprise Knowledge Graphs. They are used in numerous industrial applications, but also Knowledge Organization Management systems (thesaurus and ontology management systems), such as VocBench, SWC PoolParty, Synaptica Semaphore. Through VocBench, semantic databases manage or publish some of the most important thesauri: EuroVoc, AgroVoc, the Getty Vocabularies, etc. Semantic databases are also used in a wide variety of research domains and projects. Some have open source or free editions that make them an easy choice for academic research. We searched on Google Scholar and found 1000-1200 academic papers and theses mentioning one of the popular databases. We also found at least 50 books on Google Books that mention it. We started a Zotero bibliography on the topic (currently about 150 papers), and captured about 220 research topics, based on the titles of about 250 papers. We will present an analysis of reference data and research domains using a semantic database. Some of the traditional topics include: social media analytics, data marketplaces, business process management, enterprise data integration, statistical data, engineering, smart cities, sensor networks, life sciences, biomedical ontologies, medicines, chemistry, linguistic data, semantic publishing, semantic text analysis, geographic information, master data management. Newer or more exotic topics include academic/research data, COVID and Zika viruses, Quran and bilingual Arabic-English data, art history, Holocaust research, musical events and adaptations, iconography, food and drink, tourism, investment decision support, economic research, offshore leaks, maritime data, construction projects, building information management, crisis management, critical incidents and infrastructures, data journalism, clinical trials and specific medical topics (e.g. intestinal cells, intracoronal tooth restorations, vaccines, toxicology), investment recommendations, data journalism, etc.

@inproceedings{Alexiev2021-ENDORSE, abstract = {Semantic Graph Databases are the foundation of Enterprise Knowledge Graphs. They are used in numerous industrial applications, but also Knowledge Organization Management systems (thesaurus and ontology management systems), such as VocBench, SWC PoolParty, Synaptica Semaphore. Through VocBench, semantic databases manage or publish some of the most important thesauri: EuroVoc, AgroVoc, the Getty Vocabularies, etc. Semantic databases are also used in a wide variety of research domains and projects. Some have open source or free editions that make them an easy choice for academic research. We searched on Google Scholar and found 1000-1200 academic papers and theses mentioning one of the popular databases. We also found at least 50 books on Google Books that mention it. We started a Zotero bibliography on the topic (currently about 150 papers), and captured about 220 research topics, based on the titles of about 250 papers. We will present an analysis of reference data and research domains using a semantic database. Some of the traditional topics include: social media analytics, data marketplaces, business process management, enterprise data integration, statistical data, engineering, smart cities, sensor networks, life sciences, biomedical ontologies, medicines, chemistry, linguistic data, semantic publishing, semantic text analysis, geographic information, master data management. Newer or more exotic topics include academic/research data, COVID and Zika viruses, Quran and bilingual Arabic-English data, art history, Holocaust research, musical events and adaptations, iconography, food and drink, tourism, investment decision support, economic research, offshore leaks, maritime data, construction projects, building information management, crisis management, critical incidents and infrastructures, data journalism, clinical trials and specific medical topics (e.g. intestinal cells, intracoronal tooth restorations, vaccines, toxicology), investment recommendations, data journalism, etc.}, added-at = {2021-08-25T16:07:36.000+0200}, author = {Alexiev, Vladimir}, biburl = {https://www.bibsonomy.org/bibtex/2926d2d43384395e902be3b0d67d70261/valexiev}, booktitle = {European Data Conference on Reference Data and Semantics (ENDORSE 2021)}, interhash = {6a3fcc39d117045278f2e6c110f2d392}, intrahash = {926d2d43384395e902be3b0d67d70261}, keywords = {AgroVoc COVID EuroVoc Getty_Vocabularies Holocaust_research Knowledge_Organization_System PoolParty Quran Semaphore Synaptica VocBench Zika_virus academic/research_data art_history bibliography bilingual_data biomedical_ontologies building_information_management business_process_management chemistry clinical_trials construction_projects crisis_management critical_incidents data_journalism data_marketplaces economic_research engineering enterprise_data_integration food_and_drink geographic_information graph_database iconography investment_decision_support investment_recommendations knowledge_graph life_sciences linguistic_data maritime_data master_data_management medicines musical_adaptations musical_events offshore_leaks semantic_database semantic_publishing semantic_repository semantic_text_analysis sensor_networks smart_cities social_media_analytics statistical_data tourism}, month = mar, organization = {EU Publications Office and ISA2 Programme}, timestamp = {2021-08-25T16:07:36.000+0200}, title = {Diverse Uses of a Semantic Graph Database for Knowledge Organization and Research}, url = {https://op.europa.eu/documents/7525478/8087182/ALEXIEV_presentation_Diverse+Uses+of+a+Semantic+Graph+Database+for+Knowledge+Organization+and+Research.pdf}, url_appendix = {https://github.com/VladimirAlexiev/ontotext-graphdb-applications}, url_published = {https://op.europa.eu/en/web/endorse/programme}, url_slides = {https://github.com/VladimirAlexiev/ontotext-graphdb-applications/raw/master/Diverse%20Uses%20of%20a%20Semantic%20Graph%20Database%20for%20Knowledge%20Organization%20and%20Research%20(ENDORSE%202021).pptx}, url_video = {https://www.youtube.com/watch?v=0q63x2P1V0o&list=PLT5rARDev_rmGr_LJkr7zcI-Qul7yOOHO&index=4&t=4780s}, year = 2021 }