Getting the Most Out of Wikidata: Semantic Technology Usage in Wikipedia’s Knowledge Graph

Малышев, С. М.; Krötzsch, Markus; González, Larry; Gonsior, Julius; Bielefeldt, Adrian

doi:10.1007/978-3-030-00668-6_23

Cited by 121 publications

(109 citation statements)

References 14 publications

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“…Wikidata: This collaboratively built knowledge base is mostly geared to organize encyclopedic facts about individual entities like people, places, organizations etc. [13,36]. It contains more than 400 million assertions for more than 50 million items.…”

Section: Related Workmentioning

confidence: 99%

Commonsense Properties from Query Logs and Question Answering Forums

Romero

Razniewski

Pal

et al. 2019

Proceedings of the 28th ACM International Conference on Information and Knowledge Management

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Commonsense knowledge about object properties, human behavior and general concepts is crucial for robust AI applications. However, automatic acquisition of this knowledge is challenging because of sparseness and bias in online sources. This paper presents Quasimodo, a methodology and tool suite for distilling commonsense properties from non-standard web sources. We devise novel ways of tapping into search-engine query logs and QA forums, and combining the resulting candidate assertions with statistical cues from encyclopedias, books and image tags in a corroboration step. Unlike prior work on commonsense knowledge bases, Quasimodo focuses on salient properties that are typically associated with certain objects or concepts. Extensive evaluations, including extrinsic use-case studies, show that Quasimodo provides better coverage than state-of-the-art baselines with comparable quality.

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Section: Related Workmentioning

confidence: 99%

Commonsense Properties from Query Logs and Question Answering Forums

Romero

Razniewski

Pal

et al. 2019

Proceedings of the 28th ACM International Conference on Information and Knowledge Management

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“…This model of statements aligns well with the RDF triple model of the semantic web and the content of Wikidata is also serialized as Resource Description Framework (RDF) triples (14,15) , acting as stepping stone for data resources to the semantic web. Through its SPARQL endpoint ( https://query.wikidata.org ), knowledge captured in Wikidata can be integrated with other nodes in the semantic web, using either mappings between these resources or through federated SPARQL queries (16) . Automated editing of Wikidata simplifies a lot of things, however, the quality control of that process must be monitored carefully.…”

Section: Introductionmentioning

confidence: 99%

“…One prominent project is Wikidata, which has become one of the largest collections of open data on the web (16) . Wikidata follows the linked data principles offering both HTML and RDF views of every item with their corresponding links to related items, and a SPARQL endpoint called the Wikidata Query Service.…”

Section: Introductionmentioning

confidence: 99%

A protocol for adding knowledge to Wikidata, a case report

Waagmeester

Willighagen

et al. 2020

Preprint

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Pandemics, even more than other medical problems, require swift integration of knowledge. When caused by a new virus, understanding the underlying biology may help finding solutions. In a setting where there are a large number of loosely related projects and initiatives, we need common ground, also known as a “commons”. Wikidata, a public knowledge graph aligned with Wikipedia, is such a commons and uses unique identifiers to link knowledge in other knowledge bases However, Wikidata may not always have the right schema for the urgent questions. In this paper, we address this problem by showing how a data schema required for the integration can be modelled with entity schemas represented by Shape Expressions. As a telling example, we describe the process of aligning resources on the genomes and proteomes of the SARS-CoV-2 virus and related viruses as well as how Shape Expressions can be defined for Wikidata to model the knowledge, helping others studying the SARS-CoV-2 pandemic. How this model can be used to make data between various resources interoperable, is demonstrated by integrating data from NCBI Taxonomy, NCBI Genes, UniProt, and WikiPathways. Based on that model, a set of automated applications or bots were written for regular updates of these sources in Wikidata and added to a platform for automatically running these updates. Although this workflow is developed and applied in the context of the COVID-19 pandemic, to demonstrate its broader applicability it was also applied to other human coronaviruses (MERS, SARS, Human Coronavirus NL63, Human coronavirus 229E, Human coronavirus HKU1, Human coronavirus OC4).

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“…However, arbitrarily complex queries [2,3,7], entailing rather intricate, possibly recursive, graph patterns prove difficult to evaluate, even on small-sized graph datasets [4,5]. On the other hand, the usage of these queries has radically increased in real-world query logs, as shown by recent empirical studies on SPARQL queries from large-scale Wikidata and DBPedia corpuses [8,17]. As a tangible example of this growth, the percentage of SPARQL property paths has increased from 15% to 40%, from 2017 to beginning 2018 [17], for user-specified Wikidata queries.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, the usage of these queries has radically increased in real-world query logs, as shown by recent empirical studies on SPARQL queries from large-scale Wikidata and DBPedia corpuses [8,17]. As a tangible example of this growth, the percentage of SPARQL property paths has increased from 15% to 40%, from 2017 to beginning 2018 [17], for user-specified Wikidata queries. In this paper, we focus on regular path queries (RPQs) that identify paths labeled with regular expressions and aim to offer an approximate query evaluation solution.…”

Section: Introductionmentioning

confidence: 99%

Approximate Querying on Property Graphs

Dumbrava

Bonifati

Diaz

et al. 2019

Lecture Notes in Computer Science

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Property graphs are becoming widespread when modeling data with complex structural characteristics and enriching edges and nodes with a list of properties. In this paper, we focus on the approximate evaluation of counting queries involving recursive paths on property graphs. As such queries are already difficult to evaluate over pure RDF graphs, they require an ad-hoc graph summary for their approximate evaluation on property graphs. We prove the intractability of the optimal graph summarization problem, under our algorithm's conditions. We design and implement a novel property graph summary suitable for the above queries, along with an approximate query evaluation module. Finally, we show the compactness of the obtained summaries as well as the accuracy of answering counting recursive queries on them.

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Getting the Most Out of Wikidata: Semantic Technology Usage in Wikipedia’s Knowledge Graph

Cited by 121 publications

References 14 publications

Commonsense Properties from Query Logs and Question Answering Forums

Commonsense Properties from Query Logs and Question Answering Forums

A protocol for adding knowledge to Wikidata, a case report

Approximate Querying on Property Graphs

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