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ORCIDJournal of Biomedical Semantics, Volume 8
Volume 8, Number 1, December 2017
- Adrien Barton
, Jean-François Ethier, Régis Duvauferrier, Anita Burgun:
An ontological analysis of medical Bayesian indicators of performance. 1:1-1:13 - Mark E. Sharp:
Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources. 2:1-2:10 - Milos Jovanovik, Dimitar Trajanov:
Consolidating drug data on a global scale using Linked Data. 3:1-3:24 - Ferdinand Dhombres, Paul Maurice, Stéphanie Friszer, Lucie Guilbaud, Nathalie Lelong, Babak Khoshnood, Jean Charlet, Nicolas Perrot, Eric Jauniaux, Davor Jurkovic, Jean-Marie Jouannic:
Developing a knowledge base to support the annotation of ultrasound images of ectopic pregnancy. 4:1-4:13 - Yasar Khan, Muhammad Saleem, Muntazir Mehdi, Aidan Hogan, Qaiser Mehmood, Dietrich Rebholz-Schuhmann, Ratnesh Sahay:
SAFE: SPARQL Federation over RDF Data Cubes with Access Control. 5:1-5:22 - Vianney Jouhet, Fleur Mougin, Bérénice Bréchat, Frantz Thiessard:
Building a model for disease classification integration in oncology, an approach based on the national cancer institute thesaurus. 6:1-6:12 - Maxat Kulmanov, Robert Hoehndorf:
Evaluating the effect of annotation size on measures of semantic similarity. 7:1-7:10 - James G. Mork, Alan R. Aronson, Dina Demner-Fushman:
12 years on - Is the NLM medical text indexer still useful and relevant? 8:1-8:10 - Jingcheng Du, Jun Xu, Hsing-yi Song, Xiangyu Liu, Cui Tao:
Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets. 9:1-9:7 - William R. Hogan, Josh Hanna, Amanda Hicks, Samira Amirova, Baxter Bramblett, Matthew Diller, Rodel Enderez, Timothy Modzelewski, Mirela Vasconcelos, Chris Delcher:
Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request. 10:1-10:11 - Richard D. Boyce, Erica A. Voss, Vojtech Huser, Lee Evans, Christian G. Reich, Jon D. Duke, Nicholas P. Tatonetti, Tal Lorberbaum, Michel Dumontier, Manfred Hauben, Magnus Wallberg, Lili Peng, Sara Dempster, Yongqun He, Anthony G. Sena, Vassilis Koutkias, Pantelis Natsiavas, Patrick B. Ryan:
Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data. 11:1-11:15 - Junguk Hur, Arzucan Özgür, Yongqun He:
Ontology-based literature mining of E. coli vaccine-associated gene interaction networks. 12:1-12:10 - Ali Hasnain, Qaiser Mehmood, Syeda Sana e Zainab, Muhammad Saleem, Claude N. Warren Jr., Durre Zehra, Stefan Decker, Dietrich Rebholz-Schuhmann:
BioFed: federated query processing over life sciences linked open data. 13:1-13:19 - Behrouz Bokharaeian, Alberto Díaz Esteban, Nasrin Taghizadeh, Hamidreza Chitsaz, Ramyar Chavoshinejad:
SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature. 14:1-14:13 - Yuqing Mao, Zhiyong Lu:
MeSH Now: automatic MeSH indexing at PubMed scale via learning to rank. 15:1-15:9 - Kevin Dalleau, Yassine Marzougui, Sébastien Da Silva, Patrice Ringot, Ndeye Coumba Ndiaye, Adrien Coulet:
Learning from biomedical linked data to suggest valid pharmacogenes. 16:1-16:12 - Muhammad Amith, Cui Tao:
Modulated evaluation metrics for drug-based ontologies. 17:1-17:8 - David Osumi-Sutherland, Mélanie Courtot, James P. Balhoff, Christopher J. Mungall:
Dead simple OWL design patterns. 18:1-18:7 - Deepak K. Sharma, Harold R. Solbrig, Cui Tao, Chunhua Weng, Christopher G. Chute, Guoqian Jiang:
Building a semantic web-based metadata repository for facilitating detailed clinical modeling in cancer genome studies. 19:1-19:11 - Senay Kafkas, Ian Dunham, Johanna R. McEntyre:
Literature evidence in open targets - a target validation platform. 20:1-20:9 - Marcos Martínez Romero, Clément Jonquet, Martin J. O'Connor, John B. Graybeal, Alejandro Pazos, Mark A. Musen:
NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation. 21:1-21:22 - Kouji Kozaki, Yuki Yamagata, Riichiro Mizoguchi, Takeshi Imai, Kazuhiko Ohe:
Disease Compass- a navigation system for disease knowledge based on ontology and linked data techniques. 22:1-22:18 - Aleksandra Gruca, Marek Sikora:
Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets. 23:1-23:14 - Filipe Santana da Silva, Ludger Jansen, Fred Freitas, Stefan Schulz:
Ontological interpretation of biomedical database content. 24:1-24:14 - Jisoo Park, Benjamin J. Hescott, Donna K. Slonim:
Towards a more molecular taxonomy of disease. 25:1-25:11 - Rafael S. Gonçalves, Samson W. Tu, Csongor I. Nyulas, Michael J. Tierney, Mark A. Musen:
An ontology-driven tool for structured data acquisition using Web forms. 26:1-26:14 - Gabin Personeni, Emmanuel Bresso, Marie-Dominique Devignes, Michel Dumontier, Malika Smaïl-Tabbone, Adrien Coulet:
Discovering associations between adverse drug events using pattern structures and ontologies. 29:1-29:13 - Samuel Lampa, Egon L. Willighagen, Pekka Kohonen, Ali King, Denny Vrandecic, Roland Grafstrom, Ola Spjuth:
RDFIO: extending Semantic MediaWiki for interoperable biomedical data management. 35:1-35:13 - Alexandr Uciteli, Juliane Neumann, Kais Tahar, Kutaiba Saleh, Stephan Stucke, Sebastian Faulbrück-Röhr, André Kaeding, Martin Specht, Tobias Schmidt, Thomas Neumuth, Andreas Besting, Dominik Stegemann, Frank Portheine, Heinrich Herre:
Ontology-based specification, identification and analysis of perioperative risks. 36:1-36:14 - Louise Deléger, Leonardo Campillos, Anne-Laure Ligozat, Aurélie Névéol:
Design of an extensive information representation scheme for clinical narratives. 37:1-37:18 - Dongliang Xu, Jingchang Pan, Bailing Wang:
Multiple kernels learning-based biological entity relationship extraction method. 38:1-38:8 - Hua Min, Hedyeh Mobahi, Katherine Irvin, Sanja Avramovic, Janusz Wojtusiak:
Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology. 39:1-39:8 - Alokkumar Jha, Yasar Khan, Muntazir Mehdi, Md. Rezaul Karim, Qaiser Mehmood, Achille Zappa, Dietrich Rebholz-Schuhmann, Ratnesh Sahay:
Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data. 40:1-40:16 - Hugo Leroux, Alejandro Metke-Jimenez, Michael John Lawley:
Towards achieving semantic interoperability of clinical study data with FHIR. 41:1-41:14 - Marija Djokic-Petrovic, Vladimir M. Cvjetkovic, Jeremy J. Yang, Marko Zivanovic, David J. Wild:
PIBAS FedSPARQL: a web-based platform for integration and exploration of bioinformatics datasets. 42:1-42:20 - Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas:
Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models. 43:1-43:13 - Jelena Jovanovic, Ebrahim Bagheri:
Semantic annotation in biomedicine: the current landscape. 44:1-44:18 - Isabel Segura-Bedmar, Paloma Martínez:
Simplifying drug package leaflets written in Spanish by using word embedding. 45:1-45:9 - Angel Esteban-Gil, Jesualdo Tomás Fernández-Breis, Martin Boeker:
Analysis and visualization of disease courses in a semantically-enabled cancer registry. 46:1-46:16 - Claudia Mazo, Liliana Salazar, Óscar Corcho, María P. Trujillo, Enrique Alegre:
A histological ontology of the human cardiovascular system. 47:1-47:15 - Patryk Burek, Frank Loebe, Heinrich Herre:
Towards refactoring the Molecular Function Ontology with a UML profile for function modeling. 48:1-48:11 - Freddy Priyatna, Raúl Alonso-Calvo, Sergio Paraiso-Medina, Óscar Corcho:
Querying clinical data in HL7 RIM based relational model with morph-RDB. 49:1-49:12 - Yu Lin, Saurabh Mehta, Hande Küçük-McGinty, John Paul Turner, Dusica Vidovic, Michele Forlin, Amar Koleti, Dac-Trung Nguyen, Lars Juhl Jensen, Rajarshi Guha, Stephen L. Mathias, Oleg Ursu, Vasileios Stathias, Jianbin Duan, Nooshin Nabizadeh, Caty Chung, Christopher Mader, Ubbo Visser, Jeremy J. Yang, Cristian Bologa, Tudor I. Oprea, Stephan C. Schürer:
Drug target ontology to classify and integrate drug discovery data. 50:1-50:16 - Marco Basaldella, Lenz Furrer, Carlo Tasso, Fabio Rinaldi:
Entity recognition in the biomedical domain using a hybrid approach. 51:1-51:14 - Olga L. Giraldo, Alexander García Castro, Federico López, Óscar Corcho:
Using semantics for representing experimental protocols. 52:1-52:15 - Vincent Henry, Anne Goelzer, Arnaud Ferré, Stephan Fischer, Marc Dinh, Valentin Loux, Christine Froidevaux, Vincent Fromion:
The bacterial interlocked process ONtology (BiPON): a systemic multi-scale unified representation of biological processes in prokaryotes. 53:1-53:16 - Aisha Blfgeh, Jennifer D. Warrender, Catharien M. U. Hilkens, Phillip Lord:
A document-centric approach for developing the tolAPC ontology. 54:1-54:9 - Ian Harrow, Ernesto Jiménez-Ruiz, Andrea Splendiani, Martin Romacker, Peter Woollard, Scott Markel, Yasmin Alam-Faruque, Martin Koch, James Malone, Arild Waaler:
Matching disease and phenotype ontologies in the ontology alignment evaluation initiative. 55:1-55:13 - Zlatan Dragisic, Valentina Ivanova, Huanyu Li, Patrick Lambrix:
Experiences from the anatomy track in the ontology alignment evaluation initiative. 56:1-56:28 - Maryam Khordad, Robert E. Mercer:
Identifying genotype-phenotype relationships in biomedical text. 57:1-57:16 - Miguel Ángel Rodríguez-García, Georgios V. Gkoutos, Paul N. Schofield, Robert Hoehndorf:
Integrating phenotype ontologies with PhenomeNET. 58:1-58:11
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