Formal Linked Data Visualization Model

Brunetti, Josep Maria; Auer, Sören; Garcı́a, Roberto; Klímek, Jakub; Nečaský, Martin

doi:10.1145/2539150.2539162

Cited by 64 publications

(40 citation statements)

References 17 publications

(11 reference statements)

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“…The categorization of approaches in the survey by Dadzie et al has been extended by Peña et al [18], based on the datatypes that are visualized and the functionality needed by the analysts. The authors list some more recent approaches for advanced LOD visualization and exploration, like CODE [19], LDVizWiz [20], LODVisualization [21], and Payola [22].…”

Section: Selectionmentioning

confidence: 99%

Semantic Web in Data Mining and Knowledge Discovery: A Comprehensive Survey

Ristoski

Paulheim

2016

SSRN Journal

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a b s t r a c tData Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving higher-level insights from data. The tasks performed in that field are knowledge intensive and can often benefit from using additional knowledge from various sources. Therefore, many approaches have been proposed in this area that combine Semantic Web data with the data mining and knowledge discovery process. This survey article gives a comprehensive overview of those approaches in different stages of the knowledge discovery process. As an example, we show how Linked Open Data can be used at various stages for building content-based recommender systems. The survey shows that, while there are numerous interesting research works performed, the full potential of the Semantic Web and Linked Open Data for data mining and KDD is still to be unlocked.

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Section: Selectionmentioning

confidence: 99%

Semantic Web in Data Mining and Knowledge Discovery: A Comprehensive Survey

Ristoski

Paulheim

2016

SSRN Journal

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“…The main objectives of information visualization are to transform data into and present data as a visual representation in such a way that users can obtain a better understanding of it 15 . Most existing work related to visualizing RDF is focused on concrete domains and concrete data types.…”

Section: Linked Data Visualization Modelmentioning

confidence: 99%

Visualization of typed links in Linked Data

Neubauer¹

2017

Mitteilungen der VÖB

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“…LDVM can be used to quickly make representations of RDF data visually [16]. It permits users to connect to and extract data from different datasets with different visualization techniques.…”

Section: Linked Data Visualization Model (Ldvm)mentioning

confidence: 99%

“…To proof the LDVM concept, a prototype and a useful RDF data browser is built based on the LDVM model called LODVisualization 16 . It gives multiple visualizations while browsing RDF datasets.…”

Section: Linked Data Visualization Model (Ldvm)mentioning

confidence: 99%

State of the Art Exploration Systems for Linked Data: A Review

Jacksi¹,

Dimililer²,

Zeebaree³

2016

ijacsa

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Abstract-The ever-increasing amount of data available on the web is the result of the simplicity of sharing data over the current Web. To retrieve relevant information efficiently from this huge dataspace, a sophisticated search technology, which is further complicated due to the various data formats used, is crucial. Semantic Web (SW) technology has a prominent role in search engines to alleviate this issue by providing a way to understand the contextual meaning of data so as to retrieve relevant, high-quality results. An Exploratory Search System (ESS), is a featured data looking and search approach which helps searchers learn and explore their unclear topics and seeking goals through a set of actions. To retrieve high-quality retrievals for ESSs, Linked Open Data (LOD) is the optimal choice. In this paper, SW technology is reviewed, an overview of the search strategies is provided, and followed by a survey of the state of the art Linked Data Browsers (LDBs) and ESSs based on LOD. Finally, each of the LDBs and ESSs is compared with respect to several features such as algorithms, data presentations, and explanations.

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Formal Linked Data Visualization Model

Cited by 64 publications

References 17 publications

Semantic Web in Data Mining and Knowledge Discovery: A Comprehensive Survey

Semantic Web in Data Mining and Knowledge Discovery: A Comprehensive Survey

Visualization of typed links in Linked Data

State of the Art Exploration Systems for Linked Data: A Review

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