Semantic Enrichment Algorithms and Models
Semantic Enrichment Algorithms and Models
This document reviews the status of Deliverable D2.3 "Semantic Enrichment Algorithms and Models" of the OpenWebSearch.eu project, which is supported by the European Commission (EC) under the Horizon Europe Framework Programme under grant agreement GA 101070014. The deliverable is reviewed in comparison to the objectives planned in the proposal, and with respect to how it integrates with other components of the project. The document also outlines the anticipated plans for further development until the end of the project.
The deliverable expresses the opinion of the authors and has not yet been approved by the EC.
- University of Passau Germany
- Leipzig University Germany
- German Aerospace Center Germany
semantic enrichment of the Open Web Index, Content analysis of web page segments, Content analysis by web page classification, retrieval-augmented generation, Embeddings and language models, Computational ethics
semantic enrichment of the Open Web Index, Content analysis of web page segments, Content analysis by web page classification, retrieval-augmented generation, Embeddings and language models, Computational ethics
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
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