Exploratory spatio-temporal analysis of linked statistical data

Mijović, Vuk; Janev, Valentina; Paunović, Dejan; Vraneš, Sanja

doi:10.1016/j.websem.2016.10.002

Cited by 12 publications

(9 citation statements)

References 2 publications

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“…Ontology Definition and Data Mapping Schema. The ontology development was based on re-use of classes and properties from existing ontologies and vocabularies including Schema.org vocabulary 9 , DBpedia Ontology 10 , UMBEL (Upper Mapping and Binding Exchange Layer) 11 , DICOM (Digital Imaging and Communications in Medicine) 12 , and DrugBank. Each instances of the drug class has properties such as generic drug name, code, active substances, non-proprietary name, strength value, cost per unit, manufacturer, related drug, description, URL, license, etc.…”

Section: Innovation (Stage 2 and Stage Iii): Integrating Datasets In mentioning

confidence: 99%

Arabic linked drug dataset consolidating and publishing

Lakshen

Janev

Vraneš

2021

ComSIS

Self Cite

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The paper examines the process of creating and publishing an Arabic Linked Drug Dataset based on open drug datasets from selected Arabic countries and discusses quality issues considered in the linked data lifecycle when establishing a semantic Data Lake in the pharmaceutical domain. Through representation of the data in an open machine-readable format, the approach provides an optimum solution for information and dissemination of data and for building specialized applications. Authors contribute to opening the drug datasets from Arabic countries, interlinking the data with diverse repositories such as DrugBank, and DBpedia, and publishing it in a standard open manner that allows further integration and building different business services on top of the integrated data. This paper showcases how drug industry can take full advantage of the emerging trends for building competitive advantages. However, as is elaborated in this paper, better understanding of the specifics of the Arabic language is needed in order to extend the usage of linked data technologies in Arabic companies.

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Section: Innovation (Stage 2 and Stage Iii): Integrating Datasets In mentioning

confidence: 99%

Arabic linked drug dataset consolidating and publishing

Lakshen

Janev

Vraneš

2021

ComSIS

Self Cite

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“…The study also discusses the representation model for spatiotemporal data cubes in the LOD format. This research gives the contribution of open-source tools for linked open data cubes analytics with a SPARQL endpoint easy access [19].…”

Section: Open Spatiotemporal Data Warehousementioning

confidence: 99%

“…Figure. 2 shows the example of temporal integer types of farmer groups agricultural production per half month 3-stars non-spatial e-goverment service base data types [5] 3-stars spatial, non-spatial agriculture base data types [6] 3-stars spatial, non-spatial multi domain e-goverment base data types [7] 4-stars spatial, non-spatial development planning base data types [8]- [10] 5-stars spatial, non-spatial multi domain e-government base data types [11] 5-stars spatial, non-spatial e-goverment service base data types [12] 5-stars spatial, non-spatial environment base data types [17] 5-stars spatial, non-spatial health service base data types [19] 5-stars temporal, spatial, non-spatial multi domain e-goverment base data types [20], [21] 5-stars temporal, spatial, non-spatial multi domain e-goverment segments of trajectories [23] 4-stars temporal, spatial, non-spatial disaster analysis base data types [24], [25]…”

Section: Open Spatiotemporal Data Warehousementioning

confidence: 99%

Open Spatiotemporal Data Warehouse for Agriculture Production Analytics

Wisnubhadra¹,

Baharin²,

Suryana³

2020

IJIES

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Business Intelligence (BI) technology with Extract, Transform, and Loading process, Data Warehouse, and OLAP have demonstrated the ability of information and knowledge generation for supporting decision making. In the last decade, the advancement of the Web 2.0 technology is improving the accessibility of web of data across the cloud. Linked Open Data, Linked Open Statistical Data, and Open Government Data is increasing massively, creating a more significant computer-recognizable data available for sharing. In agricultural production analytics, data resources with high availability and accessibility is a primary requirement. However, today’s data accessibility for production analytics is limited in the 2 or 3-stars open data format and rarely has attributes for spatiotemporal analytics. The new data warehouse concept has a new approach to combine the openness of data resources with mobility or spatiotemporal data in nature. This new approach could help the decision-makers to use external data to make a crucial decision more intuitive and flexible. This paper proposed the development of a spatiotemporal data warehouse with an integration process using service-oriented architecture and open data sources. The data sources are originating from the Village and Rural Area Information System (SIDeKa) that capture the agricultural production transaction in a daily manner. This paper also describes the way to spatiotemporal analytics for agricultural production using a new spatiotemporal data warehouse approach. The experiment results, by executing six relevant spatiotemporal query samples on DW with fact table contains 324096 tuples with temporal integer/float for each tuple, 4495 tuples of field dimension with geographic data as polygons, 80 tuples of village dimension, dozens of tuples of the district, subdistrict, province dimensions. The DW time dimension contains 3653 tuples representing a date for ten years, proved that this new approach has a convenient, simple model, and expressive performance for supporting executive to make decisions on agriculture production analytics based on spatiotemporal data. This research also underlines the prospects for scaling and nurturing the spatiotemporal data warehouse initiative.

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“…ESTA-LD [146] (ELD) is a web-based application for viewing RDF data cubes with spatial and temporal data. ESTA-LD automatically searches the user provided SPARQL endpoint and provides the user with selection of graphs and datasets found in the endpoint.…”

Section: Esta-ldmentioning

confidence: 99%

Survey of tools for Linked Data consumption

Klímek

Škoda

Nečaský

2019

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There is lots of data published as Linked (Open) Data (LOD/LD). At the same time, there is also a multitude of tools for publication of LD. However, potential LD consumers still have difficulty discovering, accessing and exploiting LD. This is because compared to consumption of traditional data formats such as XML and CSV files, there is a distinct lack of tools for consumption of LD. The promoters of LD use the well-known 5-star Open Data deployment scheme to suggest that consumption of LD is a better experience once the consumer knows RDF and related technologies. This suggestion, however, falls short when the consumers search for an appropriate tooling support for LD consumption. In this paper we define a LD consumption process. Based on this process and current literature, we define a set of 34 requirements a hypothetical Linked Data Consumption Platform (LDCP) should ideally fulfill. We cover those requirements with a set of 94 evaluation criteria. We survey 110 tools identified as potential candidates for an LDCP, eliminating them in 3 rounds until 16 candidates for remain. We evaluate the 16 candidates using our 94 criteria. Based on this evaluation we show which parts of the LD consumption process are covered by the 16 candidates. Finally, we identify 8 tools which satisfy our requirements on being a LDCP. We also show that there are important LD consumption steps which are not sufficiently covered by existing tools. The authors of LDCP implementations may use this survey to decide about directions of future development of their tools. LD experts may use it to see the level of support of the state of the art technologies in existing tools. Non-LD experts may use it to choose a tool which supports their LD processing needs without requiring them to have expert knowledge of the technologies. The paper can also be used as an introductory text to LD consumption.

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Exploratory spatio-temporal analysis of linked statistical data

Cited by 12 publications

References 2 publications

Arabic linked drug dataset consolidating and publishing

Arabic linked drug dataset consolidating and publishing

Open Spatiotemporal Data Warehouse for Agriculture Production Analytics

Survey of tools for Linked Data consumption

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