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- research-articleSeptember 2019
D-REPR: A Language for Describing and Mapping Diversely-Structured Data Sources to RDF
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 189–196https://doi.org/10.1145/3360901.3364449Publishing data sources to knowledge graphs is a complicated and laborious process as data sources are often heterogeneous, hierarchical and interlinked. As an example, food price datasets may contain product prices of various units at different markets ...
- short-paperSeptember 2019
T2WML: Table To Wikidata Mapping Language
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 267–270https://doi.org/10.1145/3360901.3364448The web contains millions of useful spreadsheets and CSV files, but these files are difficult to use in applications because they use a wide variety of data layouts and terminology. We present Table To Wikidata Mapping Language (T2WML), a language that ...
- research-articleSeptember 2019
Exploring Word Embeddings in CRF-based Keyphrase Extraction from Research Papers
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 37–44https://doi.org/10.1145/3360901.3364447Keyphrases associated with research papers provide an effective way to find useful information in the large and growing scholarly digital collections. However, keyphrases are not always provided with the papers, but they need to be extracted from their ...
- short-paperSeptember 2019
Mining Process Factor Causality Links with Multi-relational Associations
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 263–266https://doi.org/10.1145/3360901.3364446To make knowledge-supported decisions, industrial actors often need to examine available data for suggestive patterns. As industrial data are typically unlabeled and involve multiple object types, unsupervised multi-relational (MR) data mining methods ...
- research-articleSeptember 2019
Scalable Cross-lingual Document Similarity through Language-specific Concept Hierarchies
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 147–153https://doi.org/10.1145/3360901.3364444With the ongoing growth in number of digital articles in a wider set of languages and the expanding use of different languages, we need annotation methods that enable browsing multi-lingual corpora. Multilingual probabilistic topic models have recently ...
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- research-articleSeptember 2019
Ranking Knowledge Graphs By Capturing Knowledge about Languages and Labels
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 21–28https://doi.org/10.1145/3360901.3364443Capturing knowledge about the mulitilinguality of a knowledge graph is of supreme importance to understand its applicability across multiple languages. Several metrics have been proposed for describing mulitilinguality at the level of a whole knowledge ...
- research-articleSeptember 2019
On the Impact of sameAs on Schema Matching
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 77–84https://doi.org/10.1145/3360901.3364442In a large and decentralised knowledge representation system such as the Web of Data, it is common for data sets to overlap. In the absence of a central naming authority, semantic heterogeneity is inevitable as such overlapping contents are described ...
- short-paperSeptember 2019
Contextual Entity Disambiguation in Domains with Weak Identity Criteria: Disambiguating Golden Age Amsterdamers
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 259–262https://doi.org/10.1145/3360901.3364440Entity disambiguation is a widely investigated topic, and many matching algorithms have been proposed. However, this task has not yet been satisfactorily addressed when the domain of interest provides poor or incomplete data with little discriminating ...
- short-paperSeptember 2019
Searching for Evidence of Scientific News in Scholarly Big Data
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 251–254https://doi.org/10.1145/3360901.3364438Public digital media can often mix factual information with fake scientific news, which is typically difficult to pinpoint, especially for non-professionals. These scientific news articles create illusions and misconceptions, thus ultimately influence ...
- research-articleSeptember 2019
More Complete Resultset Retrieval from Large Heterogeneous RDF Sources
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 223–230https://doi.org/10.1145/3360901.3364436Over the last years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laudromat, SPARQL endpoints provide access to the hundered of thousands of RDF datasets, representing billions of facts. These datasets are available ...
- short-paperSeptember 2019
Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge
- Mohamad Yaser Jaradeh,
- Allard Oelen,
- Kheir Eddine Farfar,
- Manuel Prinz,
- Jennifer D'Souza,
- Gábor Kismihók,
- Markus Stocker,
- Sören Auer
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 243–246https://doi.org/10.1145/3360901.3364435Despite improved digital access to scholarly knowledge in recent decades, scholarly communication remains exclusively document-based. In this form, scholarly knowledge is hard to process automatically. We present the first steps towards a knowledge ...
- research-articleSeptember 2019
MontoloStats - Ontology Modeling Statistics
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 69–76https://doi.org/10.1145/3360901.3364433Within ontology engineering concepts are modeled as classes and relationships, and restrictions as axioms. Reusing ontologies requires assessing if existing ontologies are suited for an application scenario. Different scenarios not only influence ...
- research-articleSeptember 2019
GizMO -- A Customizable Representation Model for Graph-Based Visualizations of Ontologies
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 163–170https://doi.org/10.1145/3360901.3364431Visualizations can support the development, exploration, communication, and sense-making of ontologies. Suitable visualizations, however, are highly dependent on individual use cases and targeted user groups. In this article, we present a methodology ...
- research-articleSeptember 2019
Congenial Benchmarking of RDF Storage Solutions
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 213–221https://doi.org/10.1145/3360901.3364429Many SPARQL benchmark generation techniques rely on SPARQL query templates or on selecting representative queries from a set of input queries by inspecting their syntactic features. Hence, prototype queries from such benchmarks mainly capture ...
- short-paperSeptember 2019
An Approach Toward a Prediction of the Presence of Asbestos in Buildings Based on Incomplete Temporal Descriptions of Marketed Products
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 239–242https://doi.org/10.1145/3360901.3364428Since 1997, the production, import and sale of asbestos\footnoteNaturally occurring mineral fibres which were used due to their insulating properties. have been banned in France. However, there are still millions of tons scattered in factories, ...
- research-articleSeptember 2019
Several Link Keys are Better than One, or Extracting Disjunctions of Link Key Candidates
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 61–68https://doi.org/10.1145/3360901.3364427Link keys express conditions under which instances of two classes of different RDF data sets may be considered as equal. As such, they can be used for data interlinking. There exist algorithms to extract link key candidates from RDF data sets and ...
- research-articleSeptember 2019
Do your Resources Sound Similar?: On the Impact of Using Phonetic Similarity in Link Discovery
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 53–60https://doi.org/10.1145/3360901.3364426An increasing number of heterogeneous datasets abiding by the Linked Data paradigm is published everyday. Discovering links between these datasets is thus central to achieving the vision behind the Data Web. Declarative Link Discovery (LD) frameworks ...
- research-articleSeptember 2019
Wikidata Completeness Profiling Using ProWD
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 123–130https://doi.org/10.1145/3360901.3364425Completeness is a crucial data quality aspect that deals with the question: do we have all the data we need? The lack of awareness on the completeness state of a knowledge graph (KG) may result in bias or even falsity for any decisions made based on the ...
- research-articleSeptember 2019
Utilizing Knowledge Graphs for Neural Machine Translation Augmentation
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 139–146https://doi.org/10.1145/3360901.3364423While neural networks have led to substantial progress in machine translation, their success depends heavily on large amounts of training data. However, parallel training corpora are not always readily available. Moreover, out-of-vocabulary words---...
- research-articleSeptember 2019
A General Framework to Build and Assess the Quality of Authority Links
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 13–20https://doi.org/10.1145/3360901.3364421In this paper, a methodology and generic algorithms are proposed to discover and to qualify authority links (a kind of coreference links) between entities, mentioned in descriptions of documents, and authorities, i.e., entities described in referential ...