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Journal of Biomedical Semantics, Volume 8
Volume 8, Number 1, December 2017
- Adrien Barton
, Jean-François Ethier
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
Consolidating drug data on a global scale using Linked Data. 3:1-3:24 - Ferdinand Dhombres
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
Building a model for disease classification integration in oncology, an approach based on the national cancer institute thesaurus. 6:1-6:12 - Maxat Kulmanov
Evaluating the effect of annotation size on measures of semantic similarity. 7:1-7:10 - James G. Mork
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
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
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
Ontology-based literature mining of E. coli vaccine-associated gene interaction networks. 12:1-12:10 - Ali Hasnain
BioFed: federated query processing over life sciences linked open data. 13:1-13:19 - Behrouz Bokharaeian, Alberto Díaz Esteban
SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature. 14:1-14:13 - Yuqing Mao
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
Modulated evaluation metrics for drug-based ontologies. 17:1-17:8 - David Osumi-Sutherland
Dead simple OWL design patterns. 18:1-18:7 - Deepak K. Sharma, Harold R. Solbrig, Cui Tao
Building a semantic web-based metadata repository for facilitating detailed clinical modeling in cancer genome studies. 19:1-19:11 - Senay Kafkas, Ian Dunham
Literature evidence in open targets - a target validation platform. 20:1-20:9 - Marcos Martínez Romero
NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation. 21:1-21:22 - Kouji Kozaki
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
Ontological interpretation of biomedical database content. 24:1-24:14 - Jisoo Park
Towards a more molecular taxonomy of disease. 25:1-25:11 - Rafael S. Gonçalves
An ontology-driven tool for structured data acquisition using Web forms. 26:1-26:14 - Gabin Personeni
Discovering associations between adverse drug events using pattern structures and ontologies. 29:1-29:13 - Samuel Lampa
RDFIO: extending Semantic MediaWiki for interoperable biomedical data management. 35:1-35:13 - Alexandr Uciteli
Ontology-based specification, identification and analysis of perioperative risks. 36:1-36:14 - Louise Deléger
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
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
Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data. 40:1-40:16 - Hugo Leroux
Towards achieving semantic interoperability of clinical study data with FHIR. 41:1-41:14 - Marija Djokic-Petrovic
PIBAS FedSPARQL: a web-based platform for integration and exploration of bioinformatics datasets. 42:1-42:20 - Yannis Papanikolaou
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
Simplifying drug package leaflets written in Spanish by using word embedding. 45:1-45:9 - Angel Esteban-Gil, Jesualdo Tomás Fernández-Breis
Analysis and visualization of disease courses in a semantically-enabled cancer registry. 46:1-46:16 - Claudia Mazo
A histological ontology of the human cardiovascular system. 47:1-47:15 - Patryk Burek, Frank Loebe
Towards refactoring the Molecular Function Ontology with a UML profile for function modeling. 48:1-48:11 - Freddy Priyatna
Querying clinical data in HL7 RIM based relational model with morph-RDB. 49:1-49:12 - Yu Lin, Saurabh Mehta
Drug target ontology to classify and integrate drug discovery data. 50:1-50:16 - Marco Basaldella, Lenz Furrer
Entity recognition in the biomedical domain using a hybrid approach. 51:1-51:14 - Olga L. Giraldo
Using semantics for representing experimental protocols. 52:1-52:15 - Vincent Henry, Anne Goelzer
The bacterial interlocked process ONtology (BiPON): a systemic multi-scale unified representation of biological processes in prokaryotes. 53:1-53:16 - Aisha Blfgeh
A document-centric approach for developing the tolAPC ontology. 54:1-54:9 - Ian Harrow
Matching disease and phenotype ontologies in the ontology alignment evaluation initiative. 55:1-55:13 - Zlatan Dragisic, Valentina Ivanova, Huanyu Li
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
Integrating phenotype ontologies with PhenomeNET. 58:1-58:11
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