Gathering lexical linked data and knowledge patterns from FrameNet
Proceedings of the sixth international conference on Knowledge capture
A knowledge pattern-based method for linked data analysis
Proceedings of the sixth international conference on Knowledge capture
Encyclopedic knowledge patterns from wikipedia links
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
The pragmatic web: putting rules in context
RuleML'12 Proceedings of the 6th international conference on Rules on the Web: research and applications
Reflections on 25+ years of knowledge acquisition
International Journal of Human-Computer Studies
Knowledge pattern extraction and their usage in exploratory search
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
Aemoo: exploring knowledge on the web
Proceedings of the 5th Annual ACM Web Science Conference
Using explicit discourse rules to guide video enrichment
Proceedings of the 22nd international conference on World Wide Web companion
Thoughts on the complex relation between linked data, semantic annotations, and ontologies
Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrieval
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
Semantic place localization from narratives
Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place
Geospatial semantics and linked spatiotemporal data --Past, present, and future
Semantic Web - On linked spatiotemporal data and geo-ontologies
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With the web of data, the semantic web can be an empirical science. Two problems have to be dealt with. The knowledge soup problem is about semantic heterogeneity, and can be considered a difficult technical issue, which needs appropriate transformation and inferential pipelines that can help making sense of the different knowledge contexts. The knowledge boundary problem is at the core of empirical investigation over the semantic web: what are the meaningful units that constitute the research objects for the semantic web? This question touches many aspects of semantic web studies: data, schemata, representation and reasoning, interaction, linguistic grounding, etc.