Wikidata is an open data source with many potential applications. Our study aims to evaluate the usability of Wikidata as a linked data source for acquiring richer descriptions of digital objects within the context of Europeana, a data aggregator from the cultural heritage domain. Specifically, we aim to crawl and convert Wikidata using the standard approaches and operations developed for the (Semantic) Web of Data, i.e. using technologies like linked data consumption and RDF(S)/OWL ontology expression and reasoning. We also seek to re-use existing “semantic” specifications, such as conversions to and from generic data models like Schema.org and SKOS. We have developed an experimental set-up and accompanying software to test the feasibility of this approach. We conclude that Wikidata’s linked data is able to express an interesting level of semantics for cultural heritage, but quality can still be improved and a human operator still must assist linked data applications to interpret Wikidata’s RDF.

The study addresses the use of the Semantic Web and Linked Data principles proposed by the World Wide Web Consortium for the development of Web application for semantic management of scanned documents. The main goal is to record scanned documents describing them in a way the machine is able to understand and process them, filtering content and assisting us in searching for such documents when a decision-making process is in course. To this end, machine-understandable metadata, created through the use of reference Linked Data ontologies, are associated to documents, creating a knowledge base. To further enrich the process, (semi)automatic mashup of these metadata with data from the new Web of Linked Data is carried out, considerably increasing the scope of the knowledge base and enabling to extract new data related to the content of stored documents from the Web and combine them, without the user making any effort or perceiving the complexity of the whole process.

Linked open EP is a data set of the European Patent Office (EPO). It contains information about all European patents (EP patents), like applications, publications, technical classifications, citations, patent families and related non-EP patents.

In this repository we provide 3D scan projects and the 3D models processed from them with their metadata using the example of a wood sample. The metadata was generated using our metadata generation script, which is described in the referenced publication.

The 3D scan projects were created in different software (atos v6.2, atos 2016 and zeiss 2023). For each there is a scan project, a 3D model and the generated metadata with and without uri in this repository.

The publication in which this application case is included: Homburg, T., Cramer, A., Raddatz, L. et al. Metadata schema and ontology for capturing and processing of 3D cultural heritage objects. Herit Sci 9, 91 (2021). https://doi.org/10.1186/s40494-021-00561-w

Python scripts for exporting metadata can be found here: GitHub - i3mainz/3dcap-md-gen

Paper submitted to SWAT4LS 2018. We introduce rdf2neo, a tool to populate Neo4j databases starting from RDF data sets, based on a configurable mapping between the two. By employing agrigenomics-related real use cases, we show how such mapping can allow for a hybrid approach to the management of networked knowledge, based on taking advantage of the best of both RDF and property graphs.

The data.gov.au Dataset Ontology is an OWL ontology designed to describe the characteristics of datasets published on data.gov.au.\r \r The ontology contains elements which describe the publication, update, origin, governance, spatial and temporal coverage and other contextual information about the dataset. The ontology also covers aspects of organisational custodianship and governance.\r \r By using this ontology to describe datasets on data.gov.au publishers increase discoverability and enable the consumption of this information in other applications/systems as Linked Data. It further enables decentralised publishing of catalogs and facilitates federated dataset search across sites, e.g. in datasets that are published by the States.\r \r Other publishers of Linked Data may make assertions about data published using this ontology, e.g. they may publish information about the use of the dataset in other applications.

This ONS Geography Linked Data (http://statistics.data.gov.uk) site is the access point for information on statistical geographies required to support the use of official statistics. It is designed to allow users to discover, view and use geospatial data. This site is complementary to the ONS Open Geography Portal (http://geoportal.statistics.gov.uk/). This dataset contains definitions of the different types of statistical geography areas.

It allows access directly to data within the geography products, in machine-readable form and using an Application Programming Interface.

This ONS Geography Linked Data site is the access point for information on statistical geographies required to support the use of official statistics. It is designed to allow users to discover, view and use geospatial data. This site is complementary to the ONS Open Geography Portal.

This dataset contains definitions of the different types of statistical geography areas.

It allows access directly to data within the geography products, in machine-readable form and using an Application Programming Interface.

Discover the explosive growth of the Full-Link Big Data Solution market, projected to reach $46 billion by 2033. This comprehensive market analysis reveals key drivers, trends, and challenges shaping this lucrative sector, including regional breakdowns, segmentation by application & type, and leading companies. Gain insights to capitalize on this booming opportunity.

The semantic Finlex consists of the following components:

Open Linked Data Service for Finnish legislation and use.
Pilot applications presenting the utilisation of the data service.

This file describes three datasets used to evaluate individual traits in brown treesnakes and how they affect susceptibility to toxicant applications. This file references three data sets that include 'Guam GROUND', SURVTOX', and 'HMU NWFN TRT.' Guam GROUND reference to snakes encountered during visual surveys on Guam and whether they were located on the ground or arboreal. SURVTOX refers to a known fate study of telemetered snakes that either survived or died during an application of toxic baits. HMU NWFN TRT refers to the demography of snakes captured pre and post-toxicant treatment. The specific details of toxicant treatments and survey methods are described in the associated manuscript: Nafus et al. 2019. Behavior, size, and body condition predict susceptibility to management and reflect post-treatment frequency shifts in an invasive snake. Global Ecology and Conservation: 21: e00834.

Linked-data And Networked DRoneS [LANDRS] is a project working to build core open source tooling to enable scientific data captured using drones to be easily and practically made Findable Accessible Interoperable and Reusable [FAIR]. The work has been driven and directed by extensive community input and is leveraging the rapidly maturing set of semantic web and open application programming interface software tool stacks. While COVID has limited community involvement remote input is very welcome. Primarily core components created and under development to-date include: (i) an aligned an ontology ready LANDRS vocabulary for the annotation of required metadata regard the drone, flights, project, sensors, and environmental conditions, (ii) an onboard drone data annotation application and API, (iii) a ground based data archive and publication services similarly accessible and searchable via an API. This poster was presented at the 2021 Earth Science Information Partners (ESIP) Summer Meeting held virtually in July 2021.

This session follows four themes. First, it will describe the RDC, the principal data it supports and the application process. Second, it will discuss the growth in administrative and linked administrative data files being made available by Statistics Canada. Third, it will highlight some of the pilot data, particularly business related, that the RDC hosts. The session concludes with a discussion on how the McMaster RDC and Data Services (DLI) has worked together to promote the use of data on campus to meet the needs of researchers.

Cross-domain knowledge bases such as DBpedia, Freebase and YAGO have emerged as encyclopedic hubs in the Web of Linked Data. Despite enabling several practical applications in the Semantic Web, the large-scale, schema-free nature of such graphs often precludes research groups from employing them widely as evaluation test cases for entity resolution and instance-based ontology alignment applications. Although the ground-truth linkages between the three knowledge bases above are available, they are not amenable to resource-limited applications. One reason is that the ground-truth files are not self-contained, meaning that a researcher must usually perform a series of expensive joins (typically in MapReduce) to obtain usable information sets. We constructed this resource by uploading several publicly licensed data resources to the public cloud and used simple Hadoop clusters to compile, and make accessible, three cross-domain self-contained test cases involving linked instances from DBpedia, Freebase and YAGO. Self-containment is enabled by virtue of a simple NoSQL JSON-like serialization format. Potential applications for these resources, particularly related to testing transfer learning research hypotheses, are described in more detail in a paper submission in the resource track at ISWC 2016.

As of May 2023, shopping and food delivery apps collected the largest amount of data from global iOS users, but only one data point out of the **** collected was not linked to the user. Travel and mobility apps collected **** data points linked to their users' identities, while only *** of the data points collected were not associated with the user personally. Users of finance apps, which collected **** different unique data points, only saw *** of the collected ones not linked to them personally.

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• This Dataset comprises List of inventory of Apps that is produced by comprehensive compilation of applications integrated with Google Workspace Marketplace.
• It is a valuable resource for the users to explore the Google workspace Marketplace Apps list and to analyze that which App has highest Rating, Downloads and popularity.
• It is also useful for the developers who can utilized this Dataset to gain the information about the features and characteristics of Top Rating Apps to create new apps or improve existing ones.

About Columns:

Position: The position or rank of the application. Name: The name of the application integrated with Google Workspace Marketplace. Publisher: The entity or company that developed the application. Description: A brief description of the functionality of the application. Rating: The Rating or score given to the application by users. Download count: The total number of downloads or installations of the application. Image: A link of an image associated with the application Link: A direct link or URL to access the applications

Building information modeling (BIM) allows representation of detailed information regarding building elements while geographic information system (GIS) allows representation of spatial information about buildings and their surroundings. Overlapping these domains will combine their individual features and provide support to important activities such as building emergency response, construction site safety, construction supply chain management, and sustainable urban design. Interoperability through open data standards is one method of connecting software tools from BIM and GIS domains. However, no single open data standard available today can support all information from the two domains. As a result, many researchers have been working to overlap or connect different open data standards to enhance interoperability. An overview of these studies will help identify the different approaches used and determine the approach with the most potential to enhance interoperability. This paper adopted a strong definition of interoperability using information technology (IT) based standard documents. Based on this definition, previous approaches towards improving interoperability between BIM and GIS applications through open data standards were studied. The result shows previous approaches have implemented data conversion, data integration, and linked data approaches. Between these methods, linked data emerged as having the most potential to connect open data standards and expand interoperability between BIM and GIS applications because it allows information exchange without editing the original data. The paper also identifies the main challenges in implementing linked data technologies for interoperability and provides directions for future research.