KDTA: Automated Knowledge-Driven Text Annotation

Papantoniou, Katerina; Tsatsaronis, George; Παλιούρας, Γεώργιος

doi:10.1007/978-3-642-15939-8_45

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…The novelty is the aggregation of human and machine knowledge. For a detailed discussion of the research objectives, see (Gries et al, 2010), (Papantoniou et al, 2010), and (Creed et al, 2010). Within the CASAM project, there is a need to define an expressive annotation language which allows for typical-case reasoning systems.…”

Section: Semantic Summariesmentioning

confidence: 99%

Towards Semantic Summaries over Ontologies

Wandelt

Möller

2012

Proceedings of the International Conference on Knowledge Engineering and Ontology Development

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Industry is increasingly dependent on the gathering and processing of data to support crucial product development activities. However, support systems for engineers or computer scientists may need to consider terabytes of data, making it very hard to automatically extract useful information. Querying data repositories in order to extract just the right information for the situation at hand remains a challenging problem. We propose a notion of semantic summaries on top of description logic knowledge bases that supports querying and summarizing information in large (ontological) data repositories. The idea of a semantic summary is to characterize the result set from a broader perspective, instead of describing each domain object. We show that our summarization approach scales for benchmark ontologies up to several million assertional axioms.

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Section: Semantic Summariesmentioning

confidence: 99%