The Knowledge Graph Conference bridges the gap between industry, which is increasingly recognizing the necessity of integrated data, and academia, where semantic technologies have been developing for over twenty years. Our events, education, content, and community efforts facilitate meaningful exchange between diverse groups, and increase awareness, development and adoption of this powerful technology.
Alena Vasilevich, Multilingual Knowledge Consultant at Coreon, will speak about: Benefits of Collaborative AI: Taxonomization of IATE, the EU Terminology
- 6:00 pm)
Leading the Digital Decade, held 1-2 June, is a two-day online event focused on Europe’s digital transformation towards 2030.
What should the future of digital in Europe be? What should our 2030 goals be when it comes to digital transformation? How can we make sure we meet our objectives?
These are the main questions that Leading the Digital Decade aims to answer.
- 6 pm)
The ESWC is a major venue for discussing the latest scientific results and technology innovations around semantic technologies. Building on its past success, ESWC is seeking to broaden its focus to span other relevant related research areas in which Web semantics plays an important role.
We present during the Knowledge Graph Construction Workshop our success in semi-automatically creating a taxonomy. Watch out for the presentation: Collaborative-AI Knowledge Graph Generation: Taxonomization of IATE, the EU Terminology
- 6 pm)
Language, Data and Knowledge (LDK) aims at bringing together researchers from across disciplines concerned with the acquisition, curation and use of language data in the context of data science and knowledge-based applications. With the advent of the Web and digital technologies, an ever increasing amount of language data is now available across application areas and industry sectors, including social media, digital archives, company records, etc. The efficient and meaningful exploitation of this data in scientific and commercial innovation is at the core of data science research, employing NLP and machine learning methods as well as semantic technologies based on knowledge graphs
Language data is of increasing importance to machine learning-based approaches in NLP, Linked Data and Semantic Web research and applications that depend on linguistic and semantic annotation with lexical, terminological and ontological resources, manual alignment across language or other human-assigned labels. The acquisition, provenance, representation, maintenance, usability, quality as well as legal, organizational and infrastructure aspects of language data are therefore rapidly becoming major areas of research that are at the focus of the conference.
Knowledge graphs is an active field of research concerned with the extraction, integration, maintenance and use of semantic representations of language data in combination with semantically or otherwise structured data, numerical data and multimodal data among others. Knowledge graph research builds on the exploitation and extension of lexical, terminological and ontological resources, information and knowledge extraction, entity linking, ontology learning, ontology alignment, semantic text similarity, Linked Data and other Semantic Web technologies. The construction and use of knowledge graphs from language data, possibly and ideally in the context of other types of data, is a further specific focus of the conference.
**We present our journey to SPARQL during the SALLD Workshop on 1st September.**