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- keynote-john-f-sowa description "In 2000, Tim Berners-Lee proposed a vision for the Semantic Web that was more ambitious than the results delivered in 2005. Research in the past 15 years produced advanced technology in artificial intelligence, language processing, and reasoning methods, both formal and informal. But many systems are proprietary, incompatible with one another, and too complex for widespread adoption. Among the most important requirements, trusted systems were never adequately implemented. This talk surveys promising developments and suggests ways of adapting them to the Semantic Web.".
- keynote-michael-schmidt description "Organizations that want to build new applications using the relationships in their data are confronted with a choice between RDF and property graph models. Today, this choice may have long-ranging ramifications (e.g., when applications must interoperate with other systems), where instead it would be desirable to have users benefit from the best of each world. Motivated by real use cases in the context of Amazon Neptune, a fully managed graph database service that supports both SPARQL queries for RDF as well as Apache TinkerPop Gremlin queries for property graphs, we will highlight aspects that cause organizations to prefer property graphs over RDF (or vice versa) when building their graph applications. Advocating a “graph first, semantics follows” paradigm, we encourage the community to work towards a unification of existing graph data modeling and management approaches. Alongside, this includes exploring improvements of the Semantic Web technology stack for graph use cases (e.g., advanced path queries, graph analytics, and machine learning) and a stronger focus on its usage in the enterprise context. With the ongoing proliferation of graph databases in the industry, a shift in focus towards interdisciplinary, enterprise grade graph data management research could open up a unique chance for the community to make Semantic Web technologies mainstream, starting out from within the enterprise rather than the Web.".
- keynote-uli-sattler description "The semantic web ontology language OWL is widely used in a range of applications, and supported by a broad range of tools, including editors, IDEs, APIs, and reasoners. Engineering ontologies (e.g., building, re-using, maintaining) remains, however, a complex task – and modularity is an obvious mechanism to make this task more manageable. In this talk, I will try to give an overview of work in this area. Firstly, we consider the task of extracting, from one ontology, a small/suitable fragment that captures a given topic (usually described in terms of its signature). The question of suitability versus size here is interesting, and has given rise to different notions of modules and their properties and algorithms for their extraction. Secondly, it would be extremely useful if we could “modularize” a large ontology into suitable coherent fragments (OWL has an “imports” construct that supports some kind of modular working with an ontology). Thirdly, if we have such a nice, modular ontology, how can a group of domain experts work independently on these without undesired side effects. Fourth and finally, we will briefly talk about whether/which form of modularity can be used and how to optimize reasoning.".