Alasdair J G Gray

Connecting the dots in the World's data

ISWC2014 In-use Paper

21 Oct 2014

Slides for my ISWC2014 In-use track paper (Batchelor et al., 2014) are available below.

Paper abstract:

When are two entries about a small molecule in different datasets the same? If they have the same drug name, chemical structure, or some other criteria? The choice depends upon the application to which the data will be put. However, existing Linked Data approaches provide a single global view over the data with no way of varying the notion of equivalence to be applied.

In this paper, we present an approach to enable applications to choose the equivalence criteria to apply between datasets. Thus, supporting multiple dynamic views over the Linked Data. For chemical data, we show that multiple sets of links can be automatically generated according to different equivalence criteria and published with semantic descriptions capturing their context and interpretation. This approach has been applied within a large scale public-private data integration platform for drug discovery. To cater for different use cases, the platform allows the application of different lenses which vary the equivalence rules to be applied based on the context and interpretation of the links.

Scientific lenses to support multiple views over linked chemistry data from Alasdair Gray

Scientific Lenses to Support Multiple Views over Linked Chemistry Data
Batchelor, Colin R. and Brenninkmeijer, Christian Y. A. and Chichester, Christine and Davies, Mark and Digles, Daniela and Dunlop, Ian and Evelo, Chris T. A. and Gaulton, Anna and Goble, Carole A. and Gray, Alasdair J. G. and Groth, Paul T. and Harland, Lee and Karapetyan, Karen and Loizou, Antonis and Overington, John P. and Pettifer, Steve and Steele, Jon and Stevens, Robert and Tkachenko, Valery and Waagmeester, Andra and Williams, Antony J. and Willighagen, Egon L.
In The Semantic Web - ISWC 2014 - 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part I, Lecture Notes in Computer Science, 8796, pages 98–113, Springer, 2014
(Alphabetical authorship)
```
@inproceedings{Batchelor:SciLenses:ISWC2014,
  author = {Batchelor, Colin R. and Brenninkmeijer, Christian Y. A. and Chichester, Christine and Davies, Mark and Digles, Daniela and Dunlop, Ian and Evelo, Chris T. A. and Gaulton, Anna and Goble, Carole A. and Gray, Alasdair J. G. and Groth, Paul T. and Harland, Lee and Karapetyan, Karen and Loizou, Antonis and Overington, John P. and Pettifer, Steve and Steele, Jon and Stevens, Robert and Tkachenko, Valery and Waagmeester, Andra and Williams, Antony J. and Willighagen, Egon L.},
  title = {Scientific Lenses to Support Multiple Views over Linked Chemistry
                 Data},
  booktitle = {The Semantic Web - {ISWC} 2014 - 13th International Semantic Web Conference,
                 Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part {I}},
  series = {Lecture Notes in Computer Science},
  volume = {8796},
  pages = {98--113},
  publisher = {Springer},
  month = oct,
  year = {2014},
  note = {(Alphabetical authorship)},
  url = {https://doi.org/10.1007/978-3-319-11964-9\_7},
  doi = {10.1007/978-3-319-11964-9\_7}
}
```

About Me

I'm an Associate Professor in Computer Science at Heriot-Watt University. My research focuses on linking datasets. Read more

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