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Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic
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Leveraging literals for knowledge graph embeddings
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In: ISSN: 1613-0073 (2021)
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Text Mining and Dimension Reduction Methods of Exploring Isomorphism in Corporate Communication
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In: Archives of Data Science, Series A (Online First), 7 (1), P09, 21 S. online ; ISSN: 2363-9881 (2021)
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Reputation Through Observation: Active Lurkers in an Online Community
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In: Archives of Data Science, Series A (Online First), 5 (1), A32, 17 S. online ; ISSN: 2363-9881 (2021)
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Charaterizing RDF graphs through graph-based measures - Framework and assessment
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In: Semantic Web, 12 (5), 789-812 ; ISSN: 1570-0844, 2210-4968 (2021)
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| 8 |
Semantic entity enrichment by leveraging multilingual descriptions for link prediction
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In: ISSN: 1613-0073 (2020)
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Leveraging multilingual descriptions for link prediction: Initial experiments
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In: CEUR workshop proceedings, 2721, 84-88 ; ISSN: 1613-0073 (2020)
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| 10 |
Deadline analysis of workflow graphs and workflow performance optimization
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| 11 |
Exploring Crosslingual Word Embeddings for Semantic Classification in Text and Dialogue
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| 12 |
Exploiting Knowledge Bases for Multilingual and Cross-lingual Semantic Annotation and Search
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| 13 |
Wikipedia infobox type prediction using embeddings
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In: ISSN: 1613-0073 (2018)
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| 14 |
Semantic Annotation and Search: Bridging the Gap between Text, Knowledge and Language
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| 15 |
Predicting wikipedia infobox type information using word embeddings on categories
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In: ISSN: 1613-0073 (2018)
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| 16 |
The Impact of Cryptocurrencies on the Internet of Things - Insights from Prototypes
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| 17 |
Managerial Cognition, Search and Strategy: Essays on Microfoundations
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| 18 |
The Semantic Multilingual Glossary of Mathematics (SMGloM) project or why do we need a semantic glossary of mathematics
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In: Archives of Data Science, Series A (Online First), 2 (1), 16 S. online ; ISSN: 2363-9881 (2017)
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Abstract:
In this overview, we describe a new terminological and notational base for mathematics: The Semantic Multilingual Glossary of Mathematics (shortly SMGloM) is an ontology for mathematical concepts, objects or models. The terminological and notational data can be applied, e.g. in a more semantic text and formula search and the disambiguation of symbols and formulae in mathematical publications or the translation of mathematical terms. The paper is focused to present the intention, the needs, the framework, and user scenarios of the SMGloM concept, not the technical details of the data model and its implementation.
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Keyword:
ddc:330; Economics; info:eu-repo/classification/ddc/330
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URL: https://publikationen.bibliothek.kit.edu/1000077019
https://publikationen.bibliothek.kit.edu/1000077019/5125328
https://doi.org/10.5445/KSP/1000058749/28
http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:swb:90-770198
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| 19 |
Methods and Tools for Management of Distributed Event Processing Applications
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| 20 |
The causal impact of common native language on international trade: Evidence from a spatial regression discontinuity design: evidence from a spatial regression discontinuity design ...
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