Building and Exploring a Semantic Network of Maritime History Data

Fafalios, Pavlos; Samaritakis, Georgios; Petrakis, Kostas; Doerr, Korina; Kritsotaki, Athina; Axaridou, Anastasia; Doerr, Martin

doi:10.1163/9789004514195_019

Cited by 2 publications

(1 citation statement)

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“…The value of such KGs is that they provide a unified view of the domain and enable unified browsing, querying, question answering and analytics. Indeed, there are several KGs expressed in the W3C standard RDF (Resource Description Framework), including general purpose KGs, like DBpedia [2] and Wikidata [3], domain-specific KGs [4], like Europeana [5] for culture, DrugBank [6] for drugs, GRSF [7] for stocks and fisheries, ORKG [8] and OpenAIRE [9] for scholarly work, WarSampo [10] and SeaLiT [11] for historical research, recently also for research related to COVID-19 such as [12], COVID-19 Open Research Dataset (https://github.com/allenai/cord19, accessed on 1 January 2023) and CORD-19 Named Entities Knowledge Graph (https://zenodo.org/record/3827449, accessed on 1 January 2023), and finally KGs from enterprise relational databases [13].…”

Section: Introductionmentioning

confidence: 99%

A Brief Survey of Methods for Analytics over RDF Knowledge Graphs

Papadaki

Tzitzikas²,

Mountantonakis³

2023

Analytics

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There are several Knowledge Graphs expressed in RDF (Resource Description Framework) that aggregate/integrate data from various sources for providing unified access services and enabling insightful analytics. We observe this trend in almost every domain of our life. However, the provision of effective, efficient, and user-friendly analytic services and systems is quite challenging. In this paper we survey the approaches, systems and tools that enable the formulation of analytic queries over KGs expressed in RDF. We identify the main challenges, we distinguish two main categories of analytic queries (domain specific and quality-related), and five kinds of approaches for analytics over RDF. Then, we describe in brief the works of each category and related aspects, like efficiency and visualization. We hope this collection to be useful for researchers and engineers for advancing the capabilities and user-friendliness of methods for analytics over knowledge graphs.

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