Nanopublication

ID

https://w3id.org/np/RAZJq_LawQmeOjpAu_0PAFUqReTj3FcQKoI3OYZK3CyWI
Formats

Content

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@prefix gen: <https://w3id.org/kpxl/gen/terms/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix orcid: <https://orcid.org/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

sub:Head {
  this: a np:Nanopublication;
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    np:hasPublicationInfo sub:pubinfo .
}

sub:assertion {
  <https://w3id.org/spaces/ekaw/2026> a gen:Event, gen:Space;
    dct:description """<span>
The 25th International Conference on Knowledge Engineering and Knowledge Management (EKAW-26) encompasses the diverse realms of eliciting, acquiring, modeling, and managing knowledge in a variety of information objects ranging from taxonomies, to ontologies and knowledge graphs. The conference addresses the pivotal role of knowledge in constructing systems and services for the semantic web, knowledge management, knowledge discovery, information integration, natural language processing, intelligent systems, AI systems in e-business, e-health, humanities, cultural heritage, sustainability and beyond.
<br /><br />
This year’s special theme is investigating “New Frontiers in Knowledge Engineering”.  Indeed, the current AI technological landscape is marked by major new trends and technologies emerging at an unprecedented pace. Generative AI systems, neuro-symbolic AI, agentic AI, AI regulations are just a few of the ground-breaking, ongoing trends. In such a setting, it is natural for each community to embark in a “soul-searching” and strategic positioning activity: What is our role in AI? What are major current and long-term developments in the field? What are new challenges and opportunities brought about by this context? In this year’s EKAW, we invite the community to reflect on how this extraordinary backdrop could affect current ways to engineer and manage knowledge, including: what are limitations of generative AI systems and how can knowledge engineering be used to alleviate those? What are novel requirements for “high-quality” knowledge in neuro-symbolic architectures? What are emerging neuro-symbolic system patterns for performing knowledge engineering?  
</span>""";
    <http://schema.org/endDate> "2026-10-01T00:00:00+02:00"^^xsd:dateTime;
    <http://schema.org/startDate> "2026-09-29T00:00:00+02:00"^^xsd:dateTime;
    rdfs:label "EKAW 2026: The 25th International Conference on Knowledge Engineering and Knowledge Management";
    <http://www.w3.org/2002/07/owl#sameAs> <https://ekaw2026.di.unito.it/>;
    gen:hasAdmin orcid:0000-0001-8492-0354;
    gen:hasRootDefinition this: .
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sub:provenance {
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}

sub:pubinfo {
  orcid:0000-0001-8492-0354 foaf:name "Ashley Caselli" .
  
  this: dct:created "2026-09-18T06:25:37.004Z"^^xsd:dateTime;
    dct:creator orcid:0000-0001-8492-0354;
    dct:license <https://creativecommons.org/publicdomain/zero/1.0/>;
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    npx:wasCreatedAt <https://nanodash.knowledgepixels.com/>;
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