SEMANTiCS Vienna 2022

While the individual aspects of semantic AI are being studied in their respective research communities a dedicated community focusing on their combination is yet to be established. The proposed workshop intends to contribute to this endeavor.

Date:
Tuesday, September 13, 2022 – 14:00 to 17:30 (Workshop at DBpedia Day)

Speakers:
Sebastian NEUMAIER, Data Intelligence Research Group, St. Polten University of Applied Sciences, Austria
Martin KALTENBÖCK, Semantic Web Company GmbH, Austria
Marta SABOU, Institute for Data, Process and Knowledge Management, Vienna University of Economics and Business, Austria

There is a great need for intelligent assistants in digital workplaces, and this more than ever, considering the increasing degree of decentralization in the post-Corona era.||||Recommendation systems are well known through their use in e-commerce platforms, but there they often achieve only too low a degree of precision and relevance, since they only follow the principle of “more of the same” based on “collaborative filtering”.

Date:
Wednesday, September 14, 2022 – 10:30 to 12:00 (part of Recommender Systems Session)

Speaker:
Andreas Blumauer, Founder & CEO, Semantic Web Company Inc.

In recent years, augmented intelligence systems have advanced to provide humans with insights for knowledge discovery and decision making. Using a cooperative approach, these systems use powerful artificial intelligence (AI) to augment human cognitive activities. To do so, the AI capabilities have to complement human actions and therefore be explainable and controllable, while still providing implicit insights based on statistical models. Semantic Artificial Intelligence (Semantic AI), as the combination of machine learning and knowledge models, provides such a methodology.

Date:
Wednesday, September 14, 2022 – 10:30 to 12:00 (part of Recommender Systems session)

Speakers:
Robert David, CTO, Semantic Web Company
Patrice Neff, Squirro AG

The Knowledge Graph market has developed into a highly dynamic area, especially in the last three years. No longer the ‘if’ or ‘why’, but the ‘how’ and ‘when exactly’ have become the central questions. Numerous application fields and industrial processes that already use graph technologies and plan to use them in the near future benefit from numerous technical developments.

Date:
Wednesday, September 14, 2022 – 12:15 to 13:15 (Industry Panel)

Speaker:
Andreas Blumauer, Founder & CEO, Semantic Web Company
Atanas Kiryakov, CEO, Ontotext
Peter Crocker, Oxford Semantic Technologies
Joseph Hilger, Chief Operating Officer, Enterprise Knowledge, LLC
Jans Aasman, CEO of Franz Inc

The domain of taxonomies and ontologies is to structure and enrich data. This makes the data searchable, findable, usable, and, moreover, the basis for AI applications. Terminology as the “counterpart” is responsible for ensuring that both data and metadata in the company are uniform and thus reusable and linkable. We show how taxonomy and terminology together make corporate data fit for the future, and how you can build taxonomies and knowledge graphs alongside classic terminologies. We give concrete examples of how these can be implemented in practice.

Date:
Thursday, September 15, 2022 – 10:15 to 11:15 (part of LTI)

Speaker:
Florian Bauer, Chief Solutions Officer, Semantic Web Company
Klaus Fleischmann, Kaleidoscope

The use of and need for domain-specific taxonomies are rapidly augmenting, as part of the growing interest in multilingual knowledge management. However, creating a fine taxonomy for any domain or industry use case can require many months of intensive expert work. To face this challenge, we converge human created and curated data with automated processes and a Knowledge Graph tool. Namely, we apply cross-lingual lexicographic content from KD-Lexicala with Semantic Web Company’s PoolParty Semantic Suite to generate multilingual domain-specific taxonomies.

Date:
Thursday, September 15, 2022 – 10:15 to 11:15 (part of LTI)

Speaker:
Martin Kaltenböck, Member of the Executive Board, Semantic Web Company
Ilan Kernermann, K Dictionaries – Lexicala