Browsing by Author "Ananiadou,Sophia"
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Item BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID(Oxford University Press, 8/2/16) Kim,Sun; Dogan,Rezarta Islamaj; Chatr-Aryamontri,Andrew; Chang,Christie S.; Oughtred,Rose; Rust,Jennifer; Batista-Navarro,Riza; Carter,Jacob; Ananiadou,Sophia; Matos,Sergio; Santos,Andre; Campos,David; Oliveira,Jose Luis; Singh,Onkar; Jonnagaddala,Jitendra; Dai,Hong-Jie; Su,Emily Chia-Yu; Chang,Yung-Chun; Su,Yu-Chen; Chu,Chun-Han; Chen,Chien Chin; Hsu,Wen-Lian; Peng,Yifan; Arighi,Cecilia; Wu,Cathy H.; Vijay-Shanker,K.; Aydin,Ferhat; Husunbeyi,Zehra Melce; Ozgur,Arzucan; Shin,Soo-Yong; Kwon,Dongseop; Dolinski,Kara; Tyers,Mike; Wilbur,W. John; Comeau,Donald C.; Sun Kim, Rezarta Islamaj Do gan, Andrew Chatr-Aryamontri, Christie S. Chang, Rose Oughtred, Jennifer Rust, Riza Batista-Navarro, Jacob Carter, Sophia Ananiadou, Se� rgio Matos, Andre� Santos, David Campos, Jose�Lu?s Oliveira, Onkar Singh, Jitendra Jonnagaddala, Hong-Jie Dai, Emily Chia-Yu Su, Yung-Chun Chang, Yu-Chen Su, Chun-Han Chu, Chien Chin Chen,Wen-Lian Hsu,Yifan Peng, Cecilia Arighi,Cathy H. Wu, K. Vijay-Shanker, Ferhat Ayd?n, Zehra Melce Husunbey, Arzucan Ozgu, Soo-Yong Shin, Dongseop Kwon, Kara Dolinski, Mike Tyers, W. John Wilbur and Donald C. Comeau; Arighi, Cecilia Noemi; Wu, Cathy Huey-Hwa; Shanker, Vijay KBioC is a simple XML format for text, annotations and relations, and was Developmenteloped to achieve interoperability for biomedical text processing. Following the success of BioC in BioCreative IV, the BioCreative V BioC track addressed a collaborative task to build an assistant system for BioGRID curation. In this paper, we describe the framework of the collaborative BioC task and discuss our findings based on the user survey. This track consisted of eight subtasks including gene/protein/organism named entity recognition, protein-protein/genetic interaction passage identification and annotation visualization. Using BioC as their data-sharing and communication medium, nine teams, world-wide, participated and contributed either new methods or improvements of existing tools to address different subtasks of the BioC track. Results from different teams were shared in BioC and made available to other teams as they addressed different subtasks of the track. In the end, all submitted runs were merged using a machine learning classifier to produce an optimized output. The biocurator assistant system was evaluated by four BioGRID curators in terms of practical usability. The curators' feedback was overall positive and highlighted the user-friendly design and the convenient gene/protein curation tool based on text mining.Item Overview of the interactive task in BioCreative V(Oxford University Press, 9/1/16) Wang,Qinghua; Abdul,Shabbir S.; Almeida,Lara; Ananiadou,Sophia; Balderas-Martinez,Yalbi I.; Batista-Navarro,Riza; Campos,David; Chilton,Lucy; Chou,Hui-Jou; Contreras,Gabriela; Cooper,Laurel; Dai,Hong-Jie; Ferrell,Barbra; Fluck,Juliane; Gama-Castro,Socorro; George,Nancy; Gkoutos,Georgios; Irin,Afroza K.; Jensen,Lars J.; Jimenez,Silvia; Jue,Toni R.; Keseler,Ingrid; Madan,Sumit; Matos,Sergio; McQuilton,Peter; Milacic,Marija; Mort,Matthew; Natarajan,Jeyakumar; Pafilis,Evangelos; Pereira,Emiliano; Rao,Shruti; Rinaldi,Fabio; Rothfels,Karen; Salgado,David; Silva,Raquel M.; Singh,Onkar; Stefancsik,Raymund; Su,Chu-Hsien; Subramani,Suresh; Tadepally,Hamsa D.; Tsaprouni,Loukia; Vasilevsky,Nicole; Wang,Xiaodong; Chatr-Aryamontri,Andrew; Laulederkind,Stanley J. F.; Matis-Mitchell,Sherri; McEntyre,Johanna; Orchard,Sandra; Pundir,Sangya; Rodriguez-Esteban,Raul; Van Auken,Kimberly; Lu,Zhiyong; Schaeffer,Mary; Wu,Cathy H.; Hirschman,Lynette; Arighi,Cecilia N.; QinghuaWang, Shabbir S. Abdul, Lara Almeida, Sophia Ananiadou, Yalbi I. Balderas-Mart ?nez, Riza Batista-Navarro, David Campos, Lucy Chilton, Hui-Jou Chou, Gabriela Contreras, Laurel Cooper, Hong-Jie Dai, Barbra Ferrell, Juliane Fluck, Socorro Gama-Castro, Nancy George, Georgios Gkoutos, Afroza K. Irin, Lars J. Jensen, Silvia Jimenez, Toni R. Jue, Ingrid Keseler, Sumit Madan, Sergio Matos, Peter McQuilton, Marija Milacic, Matthew Mort, Jeyakumar Natarajan, Evangelos Pafilis, Emiliano Pereira, Shruti Rao, Fabio Rinaldi, Karen Rothfels, David Salgado, Raquel M. Silva, Onkar Singh, Raymund Stefancsik, Chu-Hsien Su, Suresh Subramani, Hamsa D. Tadepally, Loukia Tsaprouni, Nicole Vasilevsky, XiaodongWang, Andrew Chatr-Aryamontri, Stanley J. F. Laulederkind, Sherri Matis-Mitchell, Johanna McEntyre, Sandra Orchard, Sangya Pundir, Raul Rodriguez-Esteban, Kimberly Van Auken, Zhiyong Lu, Mary Schaeffer, Cathy H. Wu, Lynette Hirschman and Cecilia N. Arighi; Wu, Cathy Huey-Hwa;Arighi, Cecilia NoemiFully automated text mining (TM) systems promote efficient literature searching, retrieval, and review but are not sufficient to produce ready-to-consume curated documents. These systems are not meant to replace biocurators, but instead to assist them in one or more literature curation steps. To do so, the user interface is an important aspect that needs to be considered for tool adoption. The BioCreative Interactive task (IAT) is a track designed for exploring user-system interactions, promoting Developmentelopment of useful TM tools, and providing a communication channel between the biocuration and the TM communities. In BioCreative V, the IAT track followed a format similar to previous interactive tracks, where the utility and usability of TM tools, as well as the generation of use cases, have been the focal points. The proposed curation tasks are user-centric and formally evaluated by biocurators. In BioCreative V IAT, seven TM systems and 43 biocurators participated. Two levels of user participation were offered to broaden curator involvement and obtain more feedback on usability aspects. The full level participation involved training on the system, curation of a set of documents with and without TM assistance, tracking of time-on-task, and completion of a user survey. The partial level participation was designed to focus on usability aspects of the interface and not the performance per se. In this case, biocurators navigated the system by performing pre-designed tasks and then were asked whether they were able to achieve the task and the level of difficulty in completing the task. In this manuscript, we describe the Developmentelopment of the interactive task, from planning to execution and discuss major findings for the systems tested.