April 2021
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179 Reads
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8 Citations
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Publications (3)
October 2018
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444 Reads
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11 Citations
The integration of diverse structured and unstructured information sources into a unified, domain-specific knowledge base is an important task in many areas. A well-maintained knowledge base enables data analysis in complex scenarios, such as risk analysis in the financial sector or investigating large data leaks, such as the Paradise or Panama papers. Both the creation of such knowledge bases, as well as their continuous maintenance and curation involves many complex tasks and considerable manual effort. With CurEx, we present a modular system that allows structured and unstructured data sources to be integrated into a domain-specific knowledge base. In particular, we (i) enable the incremental improvement of each individual integration component; (ii) enable the selective generation of multiple knowledge graphs from the information contained in the knowledge base; and (iii) provide two distinct user interfaces tailored to the needs of data engineers and end-users respectively. The former has curation capabilities and controls the integration process, whereas the latter focuses on the exploration of the generated knowledge graph.
June 2018
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151 Reads
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5 Citations
Citations (3)
... And in case of KGs where issues like inaccuracy and incompleteness widely exist, new evaluation metrics are being proposed, such as those in [170], [171]. Many works suggest to check the extracted rules by domain experts before applying, and a latest work [172] introduces the thought of human-in-the-loop and designs a few-shot knowledge validation framework for interactive quality assessment of rules, which takes the rule validation forward one step. ...
- Citing Conference Paper
- Full-text available
April 2021
... Domain-specific NER typically needs to introduce domain-specific (sub-)categories of the established named entity (NE) categories or entirely new categories. This is because domain-specific texts contain NE categories that are (1) detailed variants of the standard NE categories, e.g., "Person" is replaced with the domain-specific sub-categories "Players" and "Coaches" [27], (2) standard NE categories extended with a small number of new categories, e.g., "Trigger of a traffic jam" [11,19,22], and (3) domain-derived NE categories, e.g., "Proteins" in biology or "Reactions" in chemistry domains [9,18,25,30]. Most domain-derived NE categories originate from structured classifications or dictionaries [9,12,25] or are derived by manually unifying multiple of them [5]. ...
- Citing Conference Paper
- Full-text available
October 2018
... Zehra et al. [14] present a financial knowledge graph-based financial report query system utilizing Wikidata and DBpedia, but the construction process lacks repeatability. Loster et al. [15] highlight challenges in the entity resolution, maintenance, and exploration of such graphs. Cheng et al. [16] propose a multi-modality graph neural network (MAGNN) but do not provide sufficient details on the construction process. ...
- Citing Conference Paper
- Full-text available
June 2018