The Semantic Web Lab will be hosting the 6th Scottish Linked Data Interest Group workshop on 29 May. It will be a great opportunity for those in Scotland interested in the Semantic Web and Linked Data to come together to discuss their recent successes and future challenges.
Full details can be found on the event website.
Title: Using Interactive Visualisations to Analyse the Structure and Treatment of Topics in Learning Materials
Speaker: Tanya Howden, Heriot-Watt University
Date: 11:30 on 14 May 2018
Location: CM F.17, Heriot-Watt University
Abstract: With the amount of information available online growing, it is becoming more and more difficult to find what you are looking for, particularly when you’re in an area that you have very little background in. For example, if you were learning about neural networks for the first time, the number of responses you get from a simple Google search can be overwhelming – how do you know where to start?! This is only one of the many challenges faced when searching for appropriate learning materials.
In this talk, I will be discussing the motivations behind my research interests before introducing and demonstrating a prototype that has been created with the aim to give learners a more engaging environment with unified organisation and access to different materials on one subject.
This morning Qianru Zhou successfully her PhD thesis “Ontology-driven knowledge based autonomic management for telecommunication networks: Theory, implementation and applications”, receiving minor corrections. Congratulations!
Supervisors: …
This morning Qianru Zhou successfully her PhD thesis “Ontology-driven knowledge based autonomic management for telecommunication networks: Theory, implementation and applications”, receiving minor corrections. Congratulations!
Supervisors:
External examiner: James Irvine (University of Strathclyde)
Internal examiner: Mauro Dragone (Engineering and Physical Sciences)
This week I went to the UK Ontology Network meeting hosted at Keele University. There was an interesting array of talks in the programme showing the breadth of work going on in the UK. I gave a talk on the Bioschemas Community (slides below) and Leyla Garcia presented a poster providing more details of the […]
This week I went to the UK Ontology Network meeting hosted at Keele University. There was an interesting array of talks in the programme showing the breadth of work going on in the UK.
I gave a talk on the Bioschemas Community (slides below) and Leyla Garcia presented a poster providing more details of the current Bioschema Profiles.
The UK Ontology Network is going through a reflection phase and would like interested parties to complete the following online survey.
Last week the Bioschemas Community hosted a workshop. The focus of the meeting was to get web resources describing biological samples to embed Schema.org mark up in their pages. The embedded mark up will enable the web resources to become more discoverable, and therefore the biological samples also. I was not able to attend the […]
Last week the Bioschemas Community hosted a workshop. The focus of the meeting was to get web resources describing biological samples to embed Schema.org mark up in their pages. The embedded mark up will enable the web resources to become more discoverable, and therefore the biological samples also.
I was not able to attend the event but Justin Clark-Casey has written this blog post summarising the event.
The new year started with a new publication, an article in the 2018 NAR Database issue about the IUPHAR Guide to Pharmacology Database. Simon D. Harding, Joanna L. Sharman, Elena Faccenda, Chris Southan, Adam J. Pawson, Sam Ireland, Alasdair J. G. Gray, Liam Bruce, Stephen P. H. Alexander, Stephen Anderton, Clare Bryant, Anthony P. Davenport, […]
The new year started with a new publication, an article in the 2018 NAR Database issue about the IUPHAR Guide to Pharmacology Database.
The IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb, www.guidetopharmacology.org) and its precursor IUPHAR-DB, have captured expert-curated interactions between targets and ligands from selected papers in pharmacology and drug discovery since 2003. This resource continues to be developed in conjunction with the International Union of Basic and Clinical Pharmacology (IUPHAR) and the British Pharmacological Society (BPS). As previously described, our unique model of content selection and quality control is based on 96 target-class subcommittees comprising 512 scientists collaborating with in-house curators. This update describes content expansion, new features and interoperability improvements introduced in the 10 releases since August 2015. Our relationship matrix now describes ∼9000 ligands, ∼15 000 binding constants, ∼6000 papers and ∼1700 human proteins. As an important addition, we also introduce our newly funded project for the Guide to IMMUNOPHARMACOLOGY (GtoImmuPdb, www.guidetoimmunopharmacology.org). This has been ‘forked’ from the well-established GtoPdb data model and expanded into new types of data related to the immune system and inflammatory processes. This includes new ligands, targets, pathways, cell types and diseases for which we are recruiting new IUPHAR expert committees. Designed as an immunopharmacological gateway, it also has an emphasis on potential therapeutic interventions.
@Article{Harding2018-GTP,
abstract = {The IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb, www.guidetopharmacology.org) and its precursor IUPHAR-DB, have captured expert-curated interactions between targets and ligands from selected papers in pharmacology and drug discovery since 2003. This resource continues to be developed in conjunction with the International Union of Basic and Clinical Pharmacology (IUPHAR) and the British Pharmacological Society (BPS). As previously described, our unique model of content selection and quality control is based on 96 target-class subcommittees comprising 512 scientists collaborating with in-house curators. This update describes content expansion, new features and interoperability improvements introduced in the 10 releases since August 2015. Our relationship matrix now describes ∼9000 ligands, ∼15 000 binding constants, ∼6000 papers and ∼1700 human proteins. As an important addition, we also introduce our newly funded project for the Guide to IMMUNOPHARMACOLOGY (GtoImmuPdb, www.guidetoimmunopharmacology.org). This has been ‘forked’ from the well-established GtoPdb data model and expanded into new types of data related to the immune system and inflammatory processes. This includes new ligands, targets, pathways, cell types and diseases for which we are recruiting new IUPHAR expert committees. Designed as an immunopharmacological gateway, it also has an emphasis on potential therapeutic interventions.},
author = {Harding, Simon D and Sharman, Joanna L and Faccenda, Elena and Southan, Chris and Pawson, Adam J and Ireland, Sam and Gray, Alasdair J G and Bruce, Liam and Alexander, Stephen P H and Anderton, Stephen and Bryant, Clare and Davenport, Anthony P and Doerig, Christian and Fabbro, Doriano and Levi-Schaffer, Francesca and Spedding, Michael and Davies, Jamie A and , {NC-IUPHAR}},
title = {The IUPHAR/BPS Guide to PHARMACOLOGY in 2018: updates and expansion to encompass the new guide to IMMUNOPHARMACOLOGY},
journal = {Nucleic Acids Research},
year = {2018},
volume = {46},
number = {D1},
pages = {D1091-D1106},
month = jan,
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url = {http://dx.doi.org/10.1093/nar/gkx1121},
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}My involvement came from Liam Bruce’s honours project. Liam developed the RDB2RDF mappings that convert the existing relational content into an RDF representation. The mappings are executed using the Morph-RDB R2RML engine.
To ensure that we abide by the FAIR data principles, we also generate machine processable metadata descriptions of the data that conform to the HCLS Community Profile.
Below is an altmetric donut so you can see what people are saying about the paper.
I have had two papers accepted within the events that make up ISWC2017. My PhD student Qianru Zhou has been working on using RDF stream processing to detect anomalous events through telecommunication network messages. The particular scenario in our paper that will be presented at the Web Stream Processing workshop focuses on detecting a disaster such as […]
I have had two papers accepted within the events that make up ISWC2017.
My PhD student Qianru Zhou has been working on using RDF stream processing to detect anomalous events through telecommunication network messages. The particular scenario in our paper that will be presented at the Web Stream Processing workshop focuses on detecting a disaster such as the capsizing of the Eastern Star on the Yangtze River [1].
The second paper is a poster in the main conference that provides an overview of the Bioschemas project where we are identifying the Schema.org markup that is of primary importance for life science resources. Hopefully the paper title will pull the punters in for the session [2].
@InProceedings{ZhouEtal2017:LostSilence:WSP2017,
abstract = {Early detection of significant traumatic events, e.g. terrorist events, ship capsizes, is important to ensure that a prompt emergency response can occur. In the modern world telecommunication systems can and do play a key role in ensuring a successful emergency response by detecting such incidents through significant changes in calls and access to the networks. In this paper a methodology is illustrated to detect such incidents immediately (with the delay in the order of milliseconds), by processing semantically annotated streams of data in cellular telecommunication systems. In our methodology, live information of phones' positions and status are encoded as RDF streams. We propose an algorithm that processes streams of RDF annotated telecommunication data to detect abnormality. Our approach is exemplified in the context of capsize of a passenger cruise ship but is readily translatable to other incidents. Our evaluation results show that with properly chosen window size, such incidents can be detected effectively.},
author = {Qianru Zhou and Stephen McLaughlin and Alasdair J G Gray and Shangbin Wu and Chengxiang Wang},
title = {Lost Silence: An emergency response early detection service through continuous processing of telecommunication data streams},
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}@InProceedings{grayetal2017:bioschemas:iswc2017,
abstract = {The life sciences have a wealth of data resources with a wide range of overlapping content. Key repositories, such as UniProt for protein data or Entrez Gene for gene data, are well known and their content easily discovered through search engines. However, there is a long-tail of bespoke datasets with important content that are not so prominent in search results. Building on the success of Schema.org for making a wide range of structured web content more discoverable and interpretable, e.g. food recipes, the Bioschemas community (http://bioschemas.org) aim to make life sciences datasets more findable by encouraging data providers to embed Schema.org markup in their resources.},
author = {Alasdair J G Gray and Carole Goble and Rafael C Jimenez and {The Bioschemas Community}},
title = {Bioschemas: From Potato Salad to Protein Annotation},
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}I have had two papers accepted within the events that make up ISWC2017. My PhD student Qianru Zhou has been working on using RDF stream processing to detect anomalous events through telecommunication network messages. The particular scenario in our paper that will be presented at the Web Stream Processing workshop focuses on detecting a disaster such as […]
I have had two papers accepted within the events that make up ISWC2017.
My PhD student Qianru Zhou has been working on using RDF stream processing to detect anomalous events through telecommunication network messages. The particular scenario in our paper that will be presented at the Web Stream Processing workshop focuses on detecting a disaster such as the capsizing of the Eastern Star on the Yangtze River [1].
The second paper is a poster in the main conference that provides an overview of the Bioschemas project where we are identifying the Schema.org markup that is of primary importance for life science resources. Hopefully the paper title will pull the punters in for the session [2].
@InProceedings{ZhouEtal2017:LostSilence:WSP2017,
abstract = {Early detection of significant traumatic events, e.g. terrorist events, ship capsizes, is important to ensure that a prompt emergency response can occur. In the modern world telecommunication systems can and do play a key role in ensuring a successful emergency response by detecting such incidents through significant changes in calls and access to the networks. In this paper a methodology is illustrated to detect such incidents immediately (with the delay in the order of milliseconds), by processing semantically annotated streams of data in cellular telecommunication systems. In our methodology, live information of phones' positions and status are encoded as RDF streams. We propose an algorithm that processes streams of RDF annotated telecommunication data to detect abnormality. Our approach is exemplified in the context of capsize of a passenger cruise ship but is readily translatable to other incidents. Our evaluation results show that with properly chosen window size, such incidents can be detected effectively.},
author = {Qianru Zhou and Stephen McLaughlin and Alasdair J G Gray and Shangbin Wu and Chengxiang Wang},
title = {Lost Silence: An emergency response early detection service through continuous processing of telecommunication data streams},
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}@InProceedings{grayetal2017:bioschemas:iswc2017,
abstract = {The life sciences have a wealth of data resources with a wide range of overlapping content. Key repositories, such as UniProt for protein data or Entrez Gene for gene data, are well known and their content easily discovered through search engines. However, there is a long-tail of bespoke datasets with important content that are not so prominent in search results. Building on the success of Schema.org for making a wide range of structured web content more discoverable and interpretable, e.g. food recipes, the Bioschemas community (http://bioschemas.org) aim to make life sciences datasets more findable by encouraging data providers to embed Schema.org markup in their resources.},
author = {Alasdair J G Gray and Carole Goble and Rafael C Jimenez and {The Bioschemas Community}},
title = {Bioschemas: From Potato Salad to Protein Annotation},
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}On 24 August I attended the SICSA Digital Humanities event hosted at Strathclyde University. The event was organised by Martin Halvey and Frank Hopfgartner. The event brought together cultural heritage practitioners, and researchers from the humanities and computer science. The day started off with a keynote from Lorna Hughes, Professor of Digital Humanities at the […]
SICSA Digital Humanities event hosted at Strathclyde University. The event was organised by Martin Halvey and Frank Hopfgartner. The event brought together cultural heritage practitioners, and researchers from the humanities and computer science.
The day started off with a keynote from Lorna Hughes, Professor of Digital Humanities at the University of Glasgow. She highlighted that there is not a single definition for digital humanities (weblink presents a random definition from a set collected at another event). However, at the core, digital humanities consists of:
The purpose of digitial humanities is to enable better and/or faster outputs as well as conceptualising new research questions.
Lorna showcased several projects that she has been involved with highlighting the issues that were faced before identifying a set of lessons learned and challenges going forward (see her blog and slideshare). She highlighted that only about 10% of content has been transformed into a digital form, and of that only 3% is openly available. Additionally, some artefacts have been digitised in multiple ways at different time points, and the differences in these digital forms tells a story about the object.
Lorna highlighted the following challenges:
The second part of the day saw us brainstorming ideas in groups. Two potential apps were outlined to support the public get more out of the cultural heritage environment around us.
Our idea from the breakout at #dhfest (c) pic.twitter.com/72rqMVMnFn
— Dr Laura Muir (@iLauraMuir) August 24, 2017
Canals, bikes, geocaching digital heritage #dhfest pic.twitter.com/3XtEGyxxXk
— Hilary Young (@drhilaryyoung) August 24, 2017
An interesting panel discussion was had, focused around what you would do with a mythical £350m. It also involved locking up 3D scanners, at least until appropriate methodology and metadata was made available.
The day finished off with an interesting keynote from Daniela Petrelli, Sheffield Hallam University. This was an interesting talk focussing on the outputs of the EU meSch project. A holistic design approach on the visitor experience was proposed that encompassed interaction design, product design, and content design. See the below embedded video for an idea.
There are lots of opportunities for collaboration between digital humanities and computing. From my perspective, there are lots of interesting challenges around capturing data metadata, linking between datasets, and capturing provenance of workflows.
Throughout the day, various participants were tweeting with the #dhfest hashtag.
The follow is an excerpt from a blog by Keir Winesmith, Head of Digital at the San Francisco Museum of Modern Art (@SFMOMAlab) Linked Open Data may sound good and noble, but it’s the wrong way around. It is a truth universally acknowledged, that an organization in possession of good Data, must want it Open (and […]
The follow is an excerpt from a blog by Keir Winesmith, Head of Digital at the San Francisco Museum of Modern Art (@SFMOMAlab)
Linked Open Data may sound good and noble, but it’s the wrong way around. It is a truth universally acknowledged, that an organization in possession of good Data, must want it Open (and indeed, Linked).
Well, I call bullshit. Most cultural heritage organizations (like most organizations) are terrible at data. And most of those who are good at collecting it, very rarely use it effectively or strategically.
Instead of Linked Open Data (LOD), Keir argues for DUCS:
I propose an alternative anagram, and an alternative order of importance.
- D. Data. Step one, collect the data that is most likely to help you and your organization make better decisions in the future. For example collection breadth, depth, accuracy, completeness, diversity, and relationships between objects and creators.
- U. Utilise. Actually use the data to inform your decisions, and test your hypotheses, within the bounds of your mission.
- C. Context. Provide context for your data, both internally and externally. What’s inside? How is represented? How complete is it? How accurate? How current? How was it gathered?
- S. Share. Now you’re ready to share it! Share it with context. Share it with the communities that are included in it first, follow the cultural heritage strategy of “nothing about me, without me”. Reach out to the relevant students, scholars, teachers, artists, designers, anthropologists, technologists, and whomever could use it. Get behind it and keep it up to date.
I’m against LOD, if it doesn’t follow DUCS first.
If you’re going to do it, do it right.