@inProceedings{eklund-2011-relational-143289, title = {Relational Annotation of Scientific Medical Corpora - A Case Study}, abstract = {In life science and biomedicine much knowledge resides as unstructured information in for instance bibliographic databases. To facilitate searching and categorisation of this information the database entries are annotated with terms or keywords, describing for instance diseases, treatments and anatomy. These annotations are limited to concept level and do not describe relations between terms, for example that a given treatment may be used for a given disease, even if this information is available in both the text and terminologies. In this work we will present a possible approach to extend term annotations with relational information to add another dimension to concept focused annotation schemas. This approach could also be used to highlight implicit information and to structure knowledge. }, booktitle = {Proceedings of LOUHI 2011, Third International Workshop on Health Document Text Mining and Information Analysis, Bled Slovenia, 6 July 2011}, author = {Eklund, Ann-Marie}, year = {2011}, pages = {27--34}, } @inProceedings{eklund-2011-query-143287, title = {Query Constraining Aspects of Knowledge - A Case Study}, abstract = {In this paper we present a first analysis towards better understanding of the query constraining aspects of knowledge, as expressed in the most used public medical bibliographic database MEDLINE. Our results indicate that new terms occur, but also that traditional terms are replaced by more specific ones and decrease in use as major defining keywords, even though they are still used in abstracts. In other words, as knowledge, including terminology, evolve over time, queries and search methods will have to adapt to these changes to enable finding recent as well as older research papers in databases.}, booktitle = {Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011, 11-13 May 2011, Riga Latvia}, author = {Eklund, Ann-Marie}, year = {2011}, volume = {11}, pages = {279--282}, } @inProceedings{eklund-2011-medical-150815, title = {Medical Knowledge Evolution - Query Constraining Aspects}, booktitle = {User Centred Networked Health Care - Proceedings of the XXIII International Conference of the European Federation for Medical Informatics (MIE), Oslo, Norway, August 28-31 2011 }, author = {Eklund, Ann-Marie}, year = {2011}, volume = {169}, ISBN = {978-1-60750-805-2}, pages = {549--553}, }