Open PHACTS

CIM Best Paper

Our paper [1] presenting a framework for terminology mappings won one of two best paper awards at the First Workshop on Context, Interpretation and Meaning (CIM2014). The other award went to the paper by Amy Guy from the University of Edinburgh.

Kerstin Forsberg from AstraZeneca presented the paper. You can find her slides on slideshare and embedded below.

[1] Sajjad Hussain, Hong Sun, Gokce Banu Laleci Erturkmen, Mustafa Yuksel, Charles Mead, Alasdair J. G. Gray, and Kerstin Forsberg. A Justification-based Semantic Framework for Representing , Evaluating and Utilizing Terminology Mappings. In Context Interpretation and Meaning, Riva del Garda, Italy, oct 2014.
[Bibtex]
@inproceedings{Hussain2014CIM,
Abstract = {Use of medical terminologies and mappings across them are consid- ered to be crucial pre-requisites for achieving interoperable eHealth applica- tions. However, experiences from several research projects have demonstrated that the mappings are not enough. Also the context of the mappings is needed to enable interpretation of the meaning of the mappings. Built upon these experi- ences, we introduce a semantic framework for representing, evaluating and uti- lizing terminology mappings together with the context in terms of the justifica- tions for, and the provenance of, the mappings. The framework offers a plat- form for i) performing various mappings strategies, ii) representing terminology mappings together with their provenance information, and iii) enabling termi- nology reasoning for inferring both new and erroneous mappings. We present the results of the introduced framework using the SALUS project where we evaluated the quality of both existing and inferred terminology mappings among standard terminologies.},
Address = {Riva del Garda, Italy},
Author = {Hussain, Sajjad and Sun, Hong and Erturkmen, Gokce Banu Laleci and Yuksel, Mustafa and Mead, Charles and Gray, Alasdair J G and Forsberg, Kerstin},
Booktitle = {Context Interpretation and Meaning},
Title = {{A Justification-based Semantic Framework for Representing , Evaluating and Utilizing Terminology Mappings}},
url = {http://www.macs.hw.ac.uk/~fm206/cim14/cim20140_submission_2.pdf},
Month = oct,
Year = {2014}
}

ISWC2014 In-use Paper

Slides for my ISWC2014 In-use track paper [1] 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.

[1] Unknown bibtex entry with key [iswc2014]
[Bibtex]