Abstract. The Open PHACTS VoID Editor helps non-Semantic Web experts to create machine interpretable descriptions for their datasets. The web app guides the user, an expert in the domain of the data, through a series of questions to capture details of their dataset and then generates a VoID dataset description. The generated dataset description conforms to the Open PHACTS dataset description guidelines that en-sure suitable provenance information is available about the dataset to enable its discovery and reuse

Goble, Carole

Gray, Alasdair J G

Tatakis, Eleftherios

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Carole Goble

Alasdair J G Gray

Eleftherios Tatakis

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Help me describe my data: A demonstration of the Open PHACTS VoID Editor

The Open PHACTS VoID Editor helps non-Semantic Web experts to create machine interpretable descriptions for their datasets. The web app guides the user, an expert in the domain of the data, through a series of questions to capture details of their dataset and then generates a VoID dataset description. The generated dataset description conforms to the Open PHACTS dataset description guidelines that en-sure suitable provenance information is available about the dataset to enable its discovery and reuse.</p

Heriot Watt Pure

Help me describe my data:A demonstration of the open PHACTS VoID Editor

The Open PHACTS VoID Editor helps non-Semantic Web experts to create machine interpretable descriptions for their datasets. The web app guides the user, an expert in the domain of the data, through a series of questions to capture details of their dataset and then generates a VoID dataset description. The generated dataset description conforms to the Open PHACTS dataset description guidelines that ensure suitable provenance information is available about the dataset to enable its discovery and reuse.The VoID Editor is available at http://voideditor.cs.man.ac.uk. The source code can be found at https://github.com/openphacts/Void-Editor2

    Heriot-Watt University Research Gateway                                                          Heriot-Watt UniversityHelp me describe my data: A demonstration of the Open PHACTS VoID EditorGoble, Carole; Gray, Alasdair J G; Tatakis, EleftheriosPublication date:2014Link to publication in Heriot-Watt Research GatewayCitation for published version (APA):Goble, C., Gray, A. J. G., & Tatakis, E. (2014). Help me describe my data: A demonstration of the OpenPHACTS VoID Editor. Paper presented at 13th International Semantic Web Conference, Riva del Garda, Italy.General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright ownersand it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediatelyand investigate your claim.Help me describe my data: A demonstration ofthe Open PHACTS VoID EditorCarole Goble1, Alasdair J G Gray2, and Eleftherios Tatakis11 School of Computer Science, University of Manchester, Manchester, UK2 Department of Computer Science, Heriot-Watt University, Edinburgh, UKAbstract. The Open PHACTS VoID Editor helps non-Semantic Webexperts to create machine interpretable descriptions for their datasets.The web app guides the user, an expert in the domain of the data,through a series of questions to capture details of their dataset and thengenerates a VoID dataset description. The generated dataset descriptionconforms to the Open PHACTS dataset description guidelines that en-sure suitable provenance information is available about the dataset toenable its discovery and reuse.The VoID Editor is available at http://voideditor.cs.man.ac.uk.The source code can be found athttps://github.com/openphacts/Void-Editor2.Keywords: Dataset descriptions, VoID, Provenance, Metadata1 Motivating ProblemUsers of systems such as the Open PHACTS Discovery Platform3 [1,2] need toknow which datasets have been integrated. In the scientic domain they partic-ularly need to know which version of a dataset is loaded in order to correctlyinterpret the results returned by the platform. To satisify this need, the prove-nance of the datasets loaded into the Open PHACTS Discovery Platform areneeded. This provenance information is then available for any data returnedby the platform's API. Within the Open PHACTS project we have identieda minimal set of metadata that should be provided to aid understanding andreuse of the data [3]. Additionally, we recommend that the metadata is providedusing the VoID vocabulary [4] so that the data is self-describing and machineprocessable.Open PHACTS does not publish its own datasets; it integrates existing pub-licly available domain data. Typically the publishers of these scientic data setsare experts in their scientic domain, viz. chemistry or biology, but not in thesemantic web. They need to be supported in the creation of VoID descriptionsof their datasets which may have been published in a database and convertedinto RDF. A tool which hides the underlying details of the semantic web butenables the creation of descriptions understandable to a domain expert is thusneeded.3 https://dev.openphacts.org/ accessed July 20142 Goble, Gray, TatakisFig.1: Screenshot of the VoID Editor2 VoID EditorThe aim of the VoID Editor (see screenshot in Figure 1) is to allow a data pub-lisher to create validated dataset descriptions within 30 minutes. In particular,the data publisher does not need to read and understand the Open PHACTSdataset descriptions guidelines [3] which provide a checklist of the RDF prop-erties that must and should be provided. There is also no need for the datapublisher to understand RDF or the VoID vocabulary.The VoID Editor is a web application that guides the data provider througha series of questions to acquire the required metadata properties. The user is rstasked for details about themselves and other individuals involved in the author-ing of the data. Core publishing metadata such as the publishing organisationand the license are then gathered. The user is then asked for versioning infor-mation and the expected update frequency of the data. The Sources tab helpsthe user to provide details of source datasets from which their data is derived.They can either select from the datasets already known to the Open PHACTSDiscovery Platform or enter the details manually. The list of known datasets ispopulated by a call to the Open PHACTS API. The Distribution Formats taballows the user to describe the distributions in which the data is provided, e.g.RDF, database dump, or CSV. The nal screen allows the user to export theRDF of their dataset description as well as providing a summary of any vali-dation errors, e.g. not supplying a license which is a required eld, such errorsThe Open PHACTS VoID Editor 3Fig.2: Screenshots of the Linkset Editorwill already have been indicated by a red bar at the top of the screen containingan error message. Note that the `Export RDF' button is only activated when avalid dataset description can be created, i.e. all required elds have been lledin.At any stage, the generated RDF dataset description may be inspected byclicking the `Under the Hood' button. This button can also be used to save a par-tially generated description that can later be imported into the editor throughthe `Import VoID' button. The `Under the Hood' feature is also useful for se-mantic web experts to see what is being generated at any stage.3 Linkset EditorIn companion with the VoID Editor, a Linkset Editor (see screenshot in Figure 2)has been developed. The Linkset Editor allows for the creation of descriptionsof the links between two datasets. The same interface design and framework isused.The Linkset Editor reuses the rst three tabs of the VoID Editor to capturedetails of the authors, core publishing information, and details about versioning.The Source/Target tab allows the user to select the pair of datasets that areconnected by the linkset. Again, the list of possible datasets is generated bya call to the Open PHACTS API. The Link Info tab asks the user to declare4 Goble, Gray, Tatakisthe link predicate used in the linkset and provide some justication to capturethe nature of the equality relationship encoded in the links. (For details aboutlinkset justications, please see Section 5 of [3].)4 ImplementationThe VoID and Linkset Editors have been implemented using AngularJS as aJavascript framework for the web client with a server implementation using Jenalibraries. A user-centric approach was followed for the design and developmentof the VoID Editor. A small number of data providers were consulted about thetype of tool they required with regular interviews and feedback on prototypeversions. A larger number of potential users were involved in an evaluation ofthe VoID Editor. Full details can be found in [5].In the future we plan to investigate how the VoID Editor can genearate tem-plate descriptions that can be populated as part of the data publishing pipeline.We also plan to look at how the editor could be adapted to other dataset descrip-tion guidelines, e.g. DCAT4 or the W3C HCLS community prole5. However,this is not a straightforward process since considerable care and attention is paidto the phrasing and grouping of questions to ensure a pleasant user experience.AcknowledgementsThe research has received support from the Innovative Medicines Initiative JointUndertaking under grant agreement number 115191, resources of which are com-posed of nancial contribution from the European Union's Seventh FrameworkProgramme (FP7/2007- 2013) and EFPIA companies in kind contribution.References1. Gray, A.J.G., Groth, P., Loizou, A., Askjaer, S., Brenninkmeijer, C.Y.A., Burger,K., Chichester, C., Evelo, C.T., Goble, C.A., Harland, L., Pettifer, S., Thompson,M., Waagmeester, A., Williams, A.J.: Applying linked data approaches to phar-macology: Architectural decisions and implementation. Semantic Web 5(2) (2014)101{113 doi:10.3233/SW-2012-0088.2. Groth, P., Loizou, A., Gray, A.J.G., Goble, C., Harland, L., Pettifer, S.: API-centricLinked Data Integration: The Open PHACTS Discovery Platform Case Study. Jour-nal of Web Semantics (2014) In press. doi:10.1016/j.websem.2014.03.003.3. Gray, A.J.G.: Dataset descriptions for the Open Pharmacological Space. Workingdraft, Open PHACTS (September 2013)4. Alexander, K., Cyganiak, R., Hausenblas, M., Zhao, J.: Describing Linked Datasetswith the VoID Vocabulary. Note, W3C (March 2011)5. Tatakis, E.: VoID Editor v2. Undergraduate dissertation, School of ComputerScience, University of Manchester, Manchester, UK (April 2014)4 http://www.w3.org/TR/vocab-dcat/ accessed July 20145 http://www.w3.org/2001/sw/hcls/notes/hclsdataset/ access July 2014

A.J.: Applying linked data approaches to pharmacology: Architectural decisions and implementation.

Dataset descriptions for the Open Pharmacological Space. Working draft,

Describing Linked Datasets with the VoID Vocabulary. Note,

S.: API-centric Linked Data Integration: The Open PHACTS Discovery Platform Case Study.

VoID Editor v2. Undergraduate dissertation,

Goble, Carole A

The University of Manchester - Institutional Repository

Help me describe my data: A demonstration of the Open PHACTS VoID Editor

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