Publications

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  1. Berry, N., Lobban, A., Belousov, M., Emsley, R., Nenadic, G., & Bucci, S. (2017). #WhyWeTweetMH: Understanding why people use Twitter to discuss mental health problems. Journal of medical Internet research. . Publication link: e9b24400-68d4-4a8c-8b52-41bf458eb585
  2. Patel, R., Belousov, M., Jani, M., Dasgupta, N., Winakor , C., Nenadic, G., & Dixon, W. (2017). Frequent discussion of insomnia and weight gain with glucocorticoid therapy: An analysis of Twitter posts. npj Digital Medicine. . Publication link: 0e5dad86-a322-416b-a32d-2f276a9517b0
  3. Karystianis, G., Sheppard, T., Dixon, W. G., & Nenadic, G. (2016). Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database.BMC Medical Informatics and Decision Making, 16(1). DOI: 10.1186/s12911-016-0255-x. Publication link: 0833526c-e904-4a5b-8ac6-48d29dba5189 | PubMed:26860263
  4. Milosevic, N., Nenadic, G., Gregson, C., & Hernandez, R. (2016). Disentangling the Structure of Tables in Scientific Literature. In Natural Language Processing and Information Systems: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings. (Vol. 9612, pp. 162-174). (Lecture Notes in Computer Science; Vol. 9612). Switzerland: Springer Verlag. DOI: 10.1007/978-3-319-41754-7_14. Publication link: 473111c2-52e9-493a-be8c-1a78c5b7ce36
  5. Milosevic, N., Gregson, C., Hernandez, R., & Nenadic, G. (2016). Extracting patient data from tables in clinical literature: Case study on extraction of BMI, weight and number of patients. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016). (pp. 223-228). Rome: CitePress. DOI: 10.5220/0005660102230228. Publication link: 5fd42b94-fa5b-43a1-a088-1bb05759c4be
  6. Duck, G., Nenadic, G., Filannino, M., Brass, A., Robertson, D. L., & Stevens, R. (2016). A survey of bioinformatics database and software usage through mining the literature. PLoS ONE, 11(6), [e0157989]. DOI: 10.1371/journal.pone.0157989. Publication link: d48c4b39-7ddb-4c86-ba6c-849b6f8f1a20
  7. Chen, Y., Ponocko, J., Milosevic, N., Nenadic, G., & Milanovic, J. V. (2016). Towards application of text mining for enhanced power network data analytics - Part II: Offline analysis of textual data. In IET Conference Publications. (CP711 ed., Vol. 2016). Institution of Engineering and Technology. . Publication link: a05f82a6-0d52-4a62-90e7-bcafc464437e
  8. Milosevic, N., & Nenadic, G. (2016). As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian. ArXiv. . Publication link: a723bd68-7ffa-4145-899e-2e77b585ac46
  9. Chen, P., Ponocko, J., Milosevic, N., Nenadic, G., & Milanovic, J. V. (2016). Towards application of text mining for enhanced power network data analytics - Part I: Retrieval and ranking of textual data from the internet. In IET Conference Publications. (CP711 ed., Vol. 2016). Institution of Engineering and Technology. . Publication link: b5929756-b2db-449f-b4bd-f3a7ed2f4b98
  10. Read, W. J., Demetriou, G., Nenadic, G., Ruddock, N., Stevens, R., & Winter, J. (2016). The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing. Journal of Biomedical Semantics, 7, [30]. DOI: 10.1186/s13326-016-0071-3. Publication link: f025c63f-3761-4da2-878c-253aa08bcc96
  11. Stoney, R., Ames, R., Nenadic, G., Robertson, D., & Schwartz, J. M. (2015). Disentangling the multigenic and pleiotropic nature of molecular function. BMC Systems Biology, 9(Suppl 6), S3. DOI: 10.1186/1752-0509-9-S6-S3. Publication link: 847f8679-0c1d-4cff-908d-3adb6d55947e | PubMed:26678917
  12. Nenadic, G. (2015). Contextualisation of Biomedical Knowledge through Large-scale Processing of Literature, Clinical Narratives and Social Media. Lecture Notes in Computer Science, 9105, 7-9. DOI: 10.1007/978-3-319-19551-3_2. Publication link: 98f5e4bb-75b1-4747-add6-141899c150a8
  13. Filannino, M., & Nenadic, G. (2015). Temporal expression extraction with extensive feature type selection and a posteriori label adjustment. Data & Knowledge Engineering, 100(A), 19-33. DOI: 10.1016/j.datak.2015.09.002. Publication link: 4f946106-37c0-4127-8426-60c9219f832d
  14. Wu, C., Schwartz, J. M., Brabant, G., Peng, S. L., & Nenadic, G. (2015). Constructing a molecular interaction network for thyroid cancer via large-scale text mining of gene and pathway events.BMC Systems Biology, 9(Suppl 6), S5. DOI: doi:10.1186/1752-0509-9-S6-S5. Publication link: 00b827f0-9f30-4f9a-9e10-31cd100ba003 | PubMed:26679379
  15. Milosevic, N., Gregson, C., Hernandez, R., & Nenadic, G. (2015). Supporting clinical trial data curation from literature with table mining. Poster session presented at Postgraduate Summer Research Showcase 2015, Withworth Hall, .. Publication link: 0fe69da9-1f9e-4fb0-bdd8-5d40ce11afb2
  16. Dehghan, A., Kovacevic, A., Karystianis, G., Keane, J. A., & Nenadic, G. (2015). Combining knowledge- and data-driven methods for de-identification of clinical narratives. Journal of Biomedical Informatics, 58(Supplement), S53-S59. DOI: 10.1016/j.jbi.2015.06.029. Publication link: 4bf61a22-35af-41f8-9b2c-33bda9c2e992
  17. Karystianis, G., Dehghan, A., Kovacevic, A., Keane, J. A., & Nenadic, G. (2015). Using local lexicalized rules to identify heart disease risk factors in clinical notes. Journal of Biomedical Informatics, 58(Supplement), S183-S188. DOI: 10.1016/j.jbi.2015.06.013. Publication link: c8074d16-f3b3-4dfc-aa0d-774c8e135b90
  18. Duck, G., Kovacevic, A., Robertson, D. L., Stevens, R., & Nenadic, G. (2015). Ambiguity and variability of database and software names in bioinformatics. Journal of Biomedical Semantics, 6, [29]. DOI: 10.1186/s13326-015-0026-0. Publication link: dd026a12-fa1c-4cf8-9f87-934e4f36c739
  19. Filannino, M., & Nenadic, G. (2014). Mining temporal footprints from Wikipedia. In Proceedings of the First AHA!-Workshop on Information Discovery in Text. (pp. 7-13). ACM. . Publication link: c53ccf2f-c7d8-4caa-8f85-78811ada0c9c
  20. Wallbridge, S., Lowe, A. J., Keane, J. A., Nenadic, G., & Cooper, J. (2014). An ontological approach to knowledge management for sustainable nuclear decommissioning. International Journal of Nuclear Knowledge Management, 6(3), 199-216. DOI: 10.1504/IJNKM.2014.058924. Publication link: cf990706-7bfd-4c35-ab9f-31e3956654ef
  21. Milosevic, N., & Nenadic, G. (2014). Table mining and data curation from biomedical literature. (End of first year PhD report). Manchester: Univeristy of Manchester.. Publication link: fb59ab9b-223d-4f48-8292-81b756e17821
  22. Karystianis, G., Buchan, I., & Nenadic, G. (2014). Mining characteristics of epidemiological studies from Medline: a case study in obesity.Journal of Biomedical Semantics, 5. DOI: 10.1186/2041-1480-5-22. Publication link: f8ea1d98-70da-4ab8-9bf9-4886868700f2 | PubMed:24949194
  23. Duck, G., Nenadic, G., Brass, A., Robertson, D. L., & Stevens, R. (2014). Extracting patterns of database and software usage from the bioinformatics literature. Bioinformatics, 30(17), 601-608. DOI: 10.1093/bioinformatics/btu471. Publication link: 40e04357-58b8-450f-ac37-d82c2a6af1c3 | PubMed:25161253
  24. Wu, C., Schwartz, J. M., Brabant, G., & Nenadic, G. (2014). Molecular profiling of thyroid cancer subtypes using large-scale text-mining. BMC Medical Genomics, 7((Suppl 3):S3), S3. [S3]. DOI: 10.1186/1755-8794-7-S3-S3. Publication link: 4e5f9d8d-b9a7-4b3c-a303-b977f440d540
  25. Jamieson, D. G., Moss, A., Kennedy, M., Jones, S., Nenadic, G., Robertson, D. L., & Sidders, B. (2014). The pain interactome: Connecting pain-specific protein interactions. Pain. DOI: 10.1016/j.pain.2014.06.020. Publication link: 33064c2e-186c-465a-94b3-84fdac61d601 | PubMed:24978826
  26. Spasic, I., Livsey, J., Keane, J. A., & Nenadic, G. (2014). Text mining of cancer-related information: Review of current status and future directions. International Journal of Medical Informatics, 83(9), 603-623. DOI: 10.1016/j.ijmedinf.2014.06.009. Publication link: 19d70b39-14fe-4991-a852-9ec7884dbc55
  27. Zaki Ali, M., Nenadic, G., Theodoulidis, B., M??tais, E. (Ed.), Roche, M. (Ed.), & Teisseire, M. (Ed.) (2014). Identification of Multi-Focal Questions in Question and Answer Reports. In Natural Language Processing and Information Systems. (Vol. 8455, pp. 126-137). (Lecture Notes in Computer Science). Springer International Publishing. . Publication link: 89f5a99a-1359-43a6-a407-53367f5e252a
  28. Hakenberg, J., Nenadic, G., Rebholz-Schuhmann, D., & Kim, J. D. (2013). Literature mining solutions for life science research. Advances in Bioinformatics, 2013, [320436]. DOI: 10.1155/2013/320436. Publication link: 0bb073f7-f745-45d2-9360-b4240798d68c
  29. Tian, D., Gledson, A., Antoniades, A., Aristodimou, A., Dimitrios, N., Sahay, R., ... Keane, J. (2013). A bayesian association rule mining algorithm. In Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013|Proc. - IEEE Int. Conf. Syst., Man, Cybern., SMC. (pp. 3258-3264). IEEE Xplore. DOI: 10.1109/SMC.2013.555. Publication link: 046f4cec-681b-468a-b0d4-09e1780e4385
  30. Jamieson, D. G., Roberts, P. M., Robertson, D. L., Sidders, B., & Nenadic, G. (2013). Cataloguing the biomedical world of pain through semi-automated curation of molecular interactions. Database, [bat033]. DOI: doi:10.1093/database/bat033. Publication link: 8dc3088c-3e50-43c3-9a45-409cdc068df1
  31. Kovačević, A., Dehghan, A., Filannino, M., Keane, J. A., & Nenadic, G. (2013). Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives. Journal of the American Medical Informatics Association, 20(5), 859-866. DOI: 10.1136/amiajnl-2013-001625. Publication link: 6c459eae-4583-455d-9ec6-80adb154ef39
  32. Duck, G., Nenadic, G., Brass, A., Robertson, D. L., & Stevens, R. (2013). BioNerDS: Exploring bioinformatics' database and software use through literature mining. BMC Bioinformatics, 14(1), [194]. DOI: 10.1186/1471-2105-14-194. Publication link: 705055ba-b73f-4ac1-b434-c91d5dec5042 | PubMed:23768135
  33. Wu, C., Schwartz, J-M., & Nenadic, G. (2013). PathNER: A tool for systematic identification of biological pathway mentions in the literature. BMC Systems Biology, 7(Suppl3). DOI: 10.1186/1752-0509-7-S3-S2. Publication link: c18b09b0-894d-42dd-9b15-38e7373e5939 | PubMed:24555844
  34. Kovačević, A., Konjović, Z., Milosavljević, B., & Nenadic, G. (2012). Mining methodologies from NLP publications: A case study in automatic terminology recognition. Computer Speech and Language, 26(2), 105-126. DOI: 10.1016/j.csl.2011.09.001. Publication link: 8d2fea3d-2e9a-4804-8092-18f36f93cc44
  35. Kovacevic, A., Dehghan, A., Keane, J., & Nenadic, G. (2012). Topic Categorisation of Statements in Suicide Notes with Integrated Rules and Machine Learning. Biomedical Informatics Insight. . Publication link: 3d55e64f-b852-4a6b-befc-0bbe67f8fbde
  36. Duck, G., Robertson, D., Stevens, R., & Nenadic, G. (2012). Ambiguity and variability of database and software names in bioinformatics. In SMBM 2012 - Proceedings of the 5th International Symposium on Semantic Mining in Biomedicine|SMBM - Proc. Int. Symp. Semantic Min. Biomed.. (pp. 2-9). http://www.zora.uzh.ch/64476/. DOI: 10.5167/uzh-64476. Publication link: ea2ea0a0-da0a-4e8c-b801-2219c3bb5cde
  37. Jamieson, D. G., Gerner, M., Sarafraz, F., Nenadic, G., & Robertson, D. L. (2012). Towards semi-automated curation: Using text mining to recreate the HIV-1, human protein interaction database. Database, 2012, [bas023]. DOI: 10.1093/database/bas023. Publication link: dac4a86a-e696-414e-9c04-5234bbca22bc | PubMed:22529179
  38. Gerner, M., Sarafraz, F., Bergman, C. M., & Nenadic, G. (2012). BioContext: An integrated text mining system for large-scale extraction and contextualization of biomolecular events. Bioinformatics, 28(16), 2154-2161. [bts332]. DOI: 10.1093/bioinformatics/bts332. Publication link: b06cad03-baf4-43d8-8de1-d4491a004881 | PubMed:22711795
  39. Baran, J., Gerner, M., Haeussler, M., Nenadic, G., & Bergman, C. M. (2011). pubmed2ensembl: A resource for mining the biological literature on genes. PLoS ONE, 6(9), [e24716]. DOI: 10.1371/journal.pone.0024716. Publication link: 5afdc557-0d00-4b48-a78c-88f86b92e966 | PubMed:21980353
  40. Afzal, H., Eales, J., Stevens, R., & Nenadic, G. (2011). Mining Semantic Networks of Bioinformatics e-Resources from the Literature. Journal of Biomedical Semantics, 2(Suppl. 1). DOI: 10.1186/2041-1480-2-S1-S4. Publication link: 9e17947f-033f-4940-a829-e871b463874b
  41. Hakenberg, J., Gerner, M., Haeussler, M., Solt, I., Plake, C., Schroeder, M., ... Bergman, C. M. (2011). The GNAT library for local and remote gene mention normalization. Bioinformatics, 27(19), 2769-2771. [btr455]. DOI: 10.1093/bioinformatics/btr455. Publication link: 966b3222-110f-46ef-8f60-6e8f17e5a663 | PubMed:21813477
  42. Rebholz-Schuhmann, D., & Nenadic, G. (2010). Biomedical Semantics: The Hub for Biomedical Research 2.0. Journal of Biomedical Semantics, 1, [1]. DOI: 10.1186/2041-1480-1-1. Publication link: fd30bfef-2019-438e-a00b-02d638bdf906
  43. Nenadic, G., Gerner, M., & Bergman, C. M. (2010). An Exploration of Mining Gene Expression Mentions and their Anatomical Locations from Biomedical Text. In Proceedings of the BioNLP 2010 Workshop.. Publication link: f7584a04-f9eb-4e83-bfb0-c110930e79c4
  44. Nenadic, G., Stivaros, S., Zeng, X., Gledson, A., Hutchinson, C., Keane, J., & Jackson, A. (2010). Early Phase Validation of a Decision Support System within the Exemplar of Aneurysmal Subarachnoid Haemorrhage. In Proceedings of British Society of NeuroRadiologists Annual Conference (BSNR 2010).. Publication link: e1173257-6623-4ead-8d97-d3a19338c649
  45. Sarafraz, F., & Nenadic, G. (2010). Identification of negated regulation events in the literature: Exploring the feature space. 134-138. Poster session presented at 4th International Symposium on Semantic Mining in Biomedicine, SMBM 2010, Cambridge, .. Publication link: e70f7cab-be24-4764-a594-79e2ed14fc5d
  46. Nenadic, G., Latif, S., & Wood, M. M. (2010). Improving Clustering of Noisy Documents through Automatic Summarisation. Poster session presented at International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), Iasi, Romania, .. Publication link: 1857a8f3-7e51-4f84-8f5c-e3934887aa65
  47. Nenadic, G., Stivaros, S., Zeng, X., Laitt, R., Hughes, D., Williams, T., ... Jackson, A. (2010). Development of a Computerized Decision Support System for Treatment Planning and Outcome Prediction in Aneurysmal Subarachnoid Haemorrhage. In Proceedings of American Society of NeuroRadiologists 48th Annual Meeting.. Publication link: 421fb3d6-cbdf-440e-9572-f747fea57a22
  48. Nenadic, G., & Sarafraz, F. (2010). Using SVMs with the Command Relation Features to Identify Negated Events in Biomedical Literature. In Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, 2010.. Publication link: 2a0b30fa-afe8-4574-9615-6d332bbdfdeb
  49. Nenadic, G., Baran, J., Gerner, M., Haeussler, M., & Bergman, C. (2010). pubmed2ensembl: Linking Publications and Genes. Poster session presented at Genome Informatics (UK) 2010, Hinxton, UK, .. Publication link: 8d851035-1a5d-4755-82a6-2f0e95e3e0c0
  50. Gerner, M., Nenadic, G., & Bergman, C. M. (2010). LINNAEUS: A species name identification system for biomedical literature. BMC Bioinformatics, 11, [85]. DOI: 10.1186/1471-2105-11-85. Publication link: 9d9f91c4-a7a1-49b2-951a-8b3f36b4ed7f | PubMed:20149233
  51. Nenadic, G., Solt, I., Gerner, M., Thomas, P., Bergman, C. M., Leser, U., & Hakenberg, J. (2010). Gene mention normalization in full texts using GNAT and LINNAEUS. In Proceedings of the BioCreative III Workshop.. Publication link: 98e228b8-27fc-4278-94c6-71a3286dfd41
  52. Afzal, H., Stevens, R., & Nenadic, G. (2009). Towards Semantic Network of Bioinformatics Resources. Poster session presented at ISMB/ECCB 2009, Stockholm, Sweden, .. Publication link: f27def94-1f25-4616-835d-9e406aa7b8fe
  53. Afzal, H., Eales, J., Stevens, R., & Nenadic, G. (2009). Mining semantic networks of bioinformatics e-resources from the literature. In CEUR Workshop Proceedings|CEUR Workshop Proc.. (Vol. 559). (CEUR Workshop Proceedings). CEUR-WS.org. . Publication link: c4bd00ad-1830-4819-885d-ea0857852606
  54. Latif, S., Wood, M. M., & Nenadic, G. (2009). Correlation between human assessment of essays and ROUGE evaluation of essays' summaries. In 2009 8th International Symposium on Natural Language Processing, SNLP '09|Int. Symp. Nat. Lang. Process., SNLP. (pp. 122-127). DOI: 10.1109/SNLP.2009.5340933. Publication link: a02d57d9-e5ab-4dd3-b152-b5d07d4c71e7
  55. Yang, H., Spasic, I., Keane, J. A., & Nenadic, G. (2009). A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries. Journal of the American Medical Informatics Association, 16(4), 596-600. DOI: 10.1197/jamia.M3096. Publication link: df75d334-0f3f-45bb-a7af-ccb95f1e9873
  56. Sarafraz, F., Eales, J., Mohammadi, R., Dickerson, J., Robertson, D., & Nenadic, G. (2009). Biomedical event detection using rules, conditional random fields and parse tree distances. In Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task. (pp. 115-118). Stroudsburg, PA, USA: Association for Computational Linguistics. DOI: 10.3115/1572340.1572359. Publication link: 04018138-4d01-48af-bec7-58ca9909f1c0
  57. Afzal, H., Stevens, R., & Nenadic, G. (2009). Mining semantic descriptions of bioinformatics web resources from the literature. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 5554, pp. 535-549). (Lecture Notes in Computer Science). Springer Verlag. DOI: 10.1007/978-3-642-02121-3_40. Publication link: 22efac89-f703-4f3d-b19f-6c37002e48c3
  58. Nenadic, G., & Afzal, H. (2008). Mining bioinformatics services terminology from literature. Poster session presented at MIB Interdisciplinary Research Conference, Manchester, .. Publication link: 67541270-9629-4f44-9df7-3b9f115977e9
  59. Yang, H., Nenadic, G., & Keane, J. A. (2008). Identification of transcription factor contexts in literature using machine learning approaches. In BMC Bioinformatics|BMC Bioinform.. (Vol. 9). BioMed Central. DOI: 10.1186/1471-2105-9-S3-S11. Publication link: 7607fa8a-e0e7-4dd9-a1f5-6032eef3b793
  60. Ananiadou, S., Monachini, M., Nenadic, G., & Su, J. (2008). Building and Evaluating Resources for Biomedical Text Mining. In host publication.. Publication link: 57ecad82-d6f7-4b26-ac63-9a5191ba105e
  61. Stivaros, S., Nenadic, G., Zeng, X., Keane, J., & Jackson, A. (2008). Decision support system for treatment planning and outcome prediction in aneurysmal subarachnoid haemorrhage. Poster session presented at Computer Assisted Radiology and Surgery 2008, Barcelona, .. Publication link: 5dd887c5-d2ef-48ee-97e3-1f7c0178f34f
  62. Stivaros, S., Nenadic, G., Zeng, X., Keane, J., & Jackson, A. (2008). Computational Treatment Prediction of Subarachnoid Haemorrhage. Poster session presented at British Society of Neuroradiologists (BSNR) 2008, Manchester, .. Publication link: 8f2f743c-d075-4572-ac63-1ec6a563963e
  63. Greenwood, M., & Nenadic, G. (2008). Lexical Profiling of Existing Web Directories to Support Fine-grained Topic-Focused Web Crawling. In host publication. (pp. 42-49). London, UK: BCS. . Publication link: 3fe98beb-f72f-49d1-bd1e-0f92c73ea6c9
  64. Yang, H., Spasic, I., Keane, J., & Nenadic, G. (2008). Combining Lexical Profiling, Rules and Machine Learning for Disease Prediction from Hospital Discharge Summaries. In Proc. of i2b2 Obesity Challenge 2008. (pp. online). Publication link: 0f437b46-e627-4c04-bc14-0dcaaa367695
  65. Nenadic, G., & Spasic, I. (2008). Towards Terminology Extraction in Serbian. In Formal Description of Slavic Languages: The Fifth Conference. Frankfurt am Main: Peter Lang. . Publication link: 116d2890-e171-4b20-a75c-1464b7b949a3
  66. Yang, H., Nenadic, G., & Keane, J. A. (2008). Identification of transcription factor contexts in literature using machine learning approaches. BMC Bioinformatics, 9(3), [S11]. DOI: 10.1186/1471-2105-9-S3-S11. Publication link: a68d5907-218c-40ae-abd4-a77a259f91d0
  67. Afzal, H., Stevens, R., & Nenadic, G. (2008). Towards semantic annotation of bioinformatics services: Building a controlled vocabulary. In 3rd International Symposium on Semantic Mining in Biomedicine, SMBM 2008 - Proceedings|Int. Symp. Semantic Min. Biomed., SMBM - Proc.. (pp. 5-12). Publication link: c82e7c71-d3cf-48e0-aec0-c31029c75009
  68. Rebholz-Schuhmann, D., & Nenadic, G. (2008). Towards standardisation of named-entity annotations in the life science literature. In 3rd International Symposium on Semantic Mining in Biomedicine, SMBM 2008 - Proceedings|Int. Symp. Semantic Min. Biomed., SMBM - Proc.. (pp. 167-169). Publication link: dae1def3-49e1-451f-be3d-4c484922669e
  69. Nenadic, G., Stivaros, S. M., Zeng, X., Keane, J., & Jackson, A. (2008). Development of a Language-based Bayesian Decision Support System for Treatment Planning and Outcome Prediction in Aneurysmal Subarachnoid Haemorrhage. Poster session presented at BSNR 2008, London, UK, .. Publication link: ff55d4f0-54e6-4cda-9e4a-a2330c280985
  70. Rector, A. (2013). Axioms & templates: Distinctions & transformations amongst ontologies, frames, & information models. In Proceedings of the 7th International Conference on Knowledge Capture: "Knowledge Capture in the Age of Massive Web Data", K-CAP 2013|Proc. Int. Conf. Knowl. Capture: "Knowl. Capture Age Massive Web Data", K-CAP. ACM Press. . Publication link: 51453ef5-5fdb-4d8b-93cf-0062a92d11b7
  71. Rector, A., Brandt, S., Drummond, N., Horridge, M., Pulestin, C., & Stevens, R. (2012). Engineering use cases for modular development of ontologies in OWL. Applied Ontology, 7(2), 113-132. DOI: 10.3233/AO-2012-0107. Publication link: 468a3e07-e15e-49cd-9569-9f5381d0f9fa
  72. Liang, S. F., Stevens, R., Scott, D., & Rector, A. (2011). Automatic verbalisation of SNOMED classes using OntoVerbal. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 6747, pp. 338-342). (Lecture Notes in Computer Science LCNS). Springer Verlag. DOI: 10.1007/978-3-642-22218-4_43. Publication link: e09b2063-83e6-4f8f-9c2e-f6e3e2bf3ada
  73. Rector, A., Iannone, L., & Stevens, R. (2011). Quality assurance of the content of a large DL-based terminology using mixed lexical and semantic criteria: Experience with SNOMED CT. In KCAP 2011 - Proceedings of the 2011 Knowledge Capture Conference|KCAP - Proc. Knowl. Capture Conf.. (pp. 57-64). ACM. DOI: 10.1145/1999676.1999688. Publication link: f44026b8-7a7b-496e-9418-09f0d16e4eda
  74. Mikroyannidi, E., Iannone, L., Stevens, R., & Rector, A. (2011). Inspecting regularities in ontology design using clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 7031, pp. 438-453). (Lecture Notes in Computer Science LCNS). Springer Verlag. DOI: 10.1007/978-3-642-25073-6_28. Publication link: 53131678-84ce-4650-b089-e183e1c001df
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