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https://www.readbyqxmd.com/read/28641261/robust-web-image-annotation-via-exploring-multi-facet-and-structural-knowledge
#1
Mengqiu Hu, Yang Yang, Fumin Shen, Luming Zhang, Heng Tao Shen, Xuelong Li
Driven by the rapid development of Internet and digital technologies, we have witnessed the explosive growth of Web images in recent years. Seeing that labels can reflect the semantic contents of the images, automatic image annotation, which can further facilitate the procedure of image semantic indexing, retrieval and other image management tasks, has become one of the most crucial research directions in multimedia. Most of the existing annotation methods heavily rely on well-labeled training data (expensive to collect) and/or single view of visual features (insufficient representative power)...
June 19, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28583204/building-a-semantic-web-based-metadata-repository-for-facilitating-detailed-clinical-modeling-in-cancer-genome-studies
#2
Deepak K Sharma, Harold R Solbrig, Cui Tao, Chunhua Weng, Christopher G Chute, Guoqian Jiang
BACKGROUND: Detailed Clinical Models (DCMs) have been regarded as the basis for retaining computable meaning when data are exchanged between heterogeneous computer systems. To better support clinical cancer data capturing and reporting, there is an emerging need to develop informatics solutions for standards-based clinical models in cancer study domains. The objective of the study is to develop and evaluate a cancer genome study metadata management system that serves as a key infrastructure in supporting clinical information modeling in cancer genome study domains...
June 5, 2017: Journal of Biomedical Semantics
https://www.readbyqxmd.com/read/28549446/-gnparser-a-powerful-parser-for-scientific-names-based-on-parsing-expression-grammar
#3
Dmitry Y Mozzherin, Alexander A Myltsev, David J Patterson
BACKGROUND: Scientific names in biology act as universal links. They allow us to cross-reference information about organisms globally. However variations in spelling of scientific names greatly diminish their ability to interconnect data. Such variations may include abbreviations, annotations, misspellings, etc. Authorship is a part of a scientific name and may also differ significantly. To match all possible variations of a name we need to divide them into their elements and classify each element according to its role...
May 26, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28479569/a-web-based-tool-to-enhance-monitoring-and-retention-in-care-for-tuberculosis-affected-patients
#4
Barbara Giannini, Niccolò Riccardi, Antonio Di Biagio, Giovanni Cenderello, Mauro Giacomini
Tuberculosis (TB) is responsible for a global epidemic. TB treatment requires long-term therapy usually with multiple drugs, which have potential side effects and interactions that may influence patients' adherence to treatment. The TB Ge network is a multi-centric web based platform that collects clinical information of TB affected patients to increase their support and retention in care. The system stores the list of all tuberculosis episodes for each patient with the related data, starting from the first visit including follow-ups clinical evaluations, laboratory tests, imaging and therapies...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28449114/neuro-symbolic-representation-learning-on-biological-knowledge-graphs
#5
Mona Alshahrani, Mohammed Asif Khan, Omar Maddouri, Akira R Kinjo, Núria Queralt-Rosinach, Robert Hoehndorf
Motivation: Biological data and knowledge bases increasingly rely on Semantic Web technologies and the use of knowledge graphs for data integration, retrieval and federated queries. In the past years, feature learning methods that are applicable to graph-structured data are becoming available, but have not yet widely been applied and evaluated on structured biological knowledge. Results: We develop a novel method for feature learning on biological knowledge graphs...
April 25, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28423861/a-digital-framework-to-support-providers-and-patients-in-diabetes-related-behavior-modification
#6
Samina Abidi, Michael Vallis, Helena Piccinini-Vallis, Syed Ali Imran, Syed Sibte Raza Abidi
We present Diabetes Web-Centric Information and Support Environment (D-WISE) that features: (a) Decision support tool to assist family physicians to administer Behavior Modification (BM) strategies to patients; and (b) Patient BM application that offers BM strategies and motivational interventions to engage patients. We take a knowledge management approach, using semantic web technologies, to model the social cognition theory constructs, Canadian diabetes guidelines and BM protocols used locally, in terms of a BM ontology that drives the BM decision support to physicians and BM strategy adherence monitoring and messaging to patients...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28423843/an-approach-for-the-support-of-semantic-workflows-in-electronic-health-records
#7
Marco Schweitzer, Alexander Hoerbst
With the unprecedented increase of healthcare data, technologies need to be both, highly efficient for the meaningful utilization of accessible data and flexible to adapt to future challenges and individual preferences. The OntoHealth system makes use of semantic technologies to enable flexible and individual interaction with Electronic Health Records (EHR) for physicians. This is achieved by the execution of formally modelled clinical workflows and the composition of Semantic Web Services (SWS). Several seamless components provide a service-oriented structure defined by individual designed EHR-workflows...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28423840/discovering-central-practitioners-in-a-medical-discussion-forum-using-semantic-web-analytics
#8
Enayat Rajabi, Syed Sibte Raza Abidi
The aim of this paper is to investigate semantic web based methods to enrich and transform a medical discussion forum in order to perform semantics-driven social network analysis. We use the centrality measures as well as semantic similarity metrics to identify the most influential practitioners within a discussion forum. The centrality results of our approach are in line with centrality measures produced by traditional SNA methods, thus validating the applicability of semantic web based methods for SNA, particularly for analyzing social networks for specialized discussion forums...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28423839/a-semantic-framework-for-logical-cross-validation-evaluation-and-impact-analyses-of-population-health-interventions
#9
Arash Shaban-Nejad, Anya Okhmatovskaia, Eun Kyong Shin, Robert L Davis, Brandi E Franklin, David L Buckeridge
Most chronic diseases are a result of a complex web of causative and correlated factors. As a result, effective public health or clinical interventions that intend to generate a sustainable change in these diseases most often use a combination of strategies or programs. To optimize comparative effectiveness evaluations and select the most efficient intervention(s), stakeholders (i.e. public health institutions, policy-makers and advocacy groups, practitioners, insurers, clinicians, and researchers) need access to reliable assessment methods...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28423769/linked-data-applications-through-ontology-based-data-access-in-clinical-research
#10
Ann-Kristin Kock-Schoppenhauer, Christian Kamann, Hannes Ulrich, Petra Duhm-Harbeck, Josef Ingenerf
Clinical care and research data are widely dispersed in isolated systems based on heterogeneous data models. Biomedicine predominantly makes use of connected datasets based on the Semantic Web paradigm. Initiatives like Bio2RDF created Resource Description Framework (RDF) versions of Omics resources, enabling sophisticated Linked Data applications. In contrast, electronic healthcare records (EHR) data are generated and processed in diverse clinical subsystems within hospital information systems (HIS). Usually, each of them utilizes a relational database system with a different proprietary schema...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28419324/improving-data-workflow-systems-with-cloud-services-and-use-of-open-data-for-bioinformatics-research
#11
Md Rezaul Karim, Audrey Michel, Achille Zappa, Pavel Baranov, Ratnesh Sahay, Dietrich Rebholz-Schuhmann
Data workflow systems (DWFSs) enable bioinformatics researchers to combine components for data access and data analytics, and to share the final data analytics approach with their collaborators. Increasingly, such systems have to cope with large-scale data, such as full genomes (about 200 GB each), public fact repositories (about 100 TB of data) and 3D imaging data at even larger scales. As moving the data becomes cumbersome, the DWFS needs to embed its processes into a cloud infrastructure, where the data are already hosted...
April 16, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/28408601/semantics-derived-automatically-from-language-corpora-contain-human-like-biases
#12
Aylin Caliskan, Joanna J Bryson, Arvind Narayanan
Machine learning is a means to derive artificial intelligence by discovering patterns in existing data. Here, we show that applying machine learning to ordinary human language results in human-like semantic biases. We replicated a spectrum of known biases, as measured by the Implicit Association Test, using a widely used, purely statistical machine-learning model trained on a standard corpus of text from the World Wide Web. Our results indicate that text corpora contain recoverable and accurate imprints of our historic biases, whether morally neutral as toward insects or flowers, problematic as toward race or gender, or even simply veridical, reflecting the status quo distribution of gender with respect to careers or first names...
April 14, 2017: Science
https://www.readbyqxmd.com/read/28397776/integrating-statistical-machine-learning-in-a-semantic-sensor-web-for-proactive-monitoring-and-control
#13
Jude Adekunle Adeleke, Deshendran Moodley, Gavin Rens, Aderemi Oluyinka Adewumi
Proactive monitoring and control of our natural and built environments is important in various application scenarios. Semantic Sensor Web technologies have been well researched and used for environmental monitoring applications to expose sensor data for analysis in order to provide responsive actions in situations of interest. While these applications provide quick response to situations, to minimize their unwanted effects, research efforts are still necessary to provide techniques that can anticipate the future to support proactive control, such that unwanted situations can be averted altogether...
April 9, 2017: Sensors
https://www.readbyqxmd.com/read/28365747/age-and-semantic-inhibition-measured-by-the-hayling-task-a-meta-analysis
#14
REVIEW
Teresa Cervera-Crespo, Julio González-Alvarez
Objective: Cognitive aging is commonly associated with a decrease in executive functioning (EF). A specific component of EF, semantic inhibition, is addressed in the present study, which presents a meta-analytic review of the literature that has evaluated the performance on the Hayling Sentence Completion test in young and older groups of individuals in order to assess the magnitude of the age effect. Method: A systematic search involving Web of Science, PsyINFO, PsychARTICLE, and MedLine databases and Google Scholar was performed...
March 1, 2017: Archives of Clinical Neuropsychology: the Official Journal of the National Academy of Neuropsychologists
https://www.readbyqxmd.com/read/28365724/actionable-long-term-stable-and-semantic-web-compatible-identifiers-for-access-to-biological-collection-objects
#15
Anton Güntsch, Roger Hyam, Gregor Hagedorn, Simon Chagnoux, Dominik Röpert, Ana Casino, Gabi Droege, Falko Glöckler, Karsten Gödderz, Quentin Groom, Jana Hoffmann, Ayco Holleman, Matúš Kempa, Hanna Koivula, Karol Marhold, Nicky Nicolson, Vincent S Smith, Dagmar Triebel
With biodiversity research activities being increasingly shifted to the web, the need for a system of persistent and stable identifiers for physical collection objects becomes increasingly pressing. The Consortium of European Taxonomic Facilities agreed on a common system of HTTP-URI-based stable identifiers which is now rolled out to its member organizations. The system follows Linked Open Data principles and implements redirection mechanisms to human-readable and machine-readable representations of specimens facilitating seamless integration into the growing semantic web...
January 1, 2017: Database: the Journal of Biological Databases and Curation
https://www.readbyqxmd.com/read/28360851/neuroimaging-genetics-and-clinical-data-sharing-in-python-using-the-cubicweb-framework
#16
Antoine Grigis, David Goyard, Robin Cherbonnier, Thomas Gareau, Dimitri Papadopoulos Orfanos, Nicolas Chauvat, Adrien Di Mascio, Gunter Schumann, Will Spooren, Declan Murphy, Vincent Frouin
In neurosciences or psychiatry, the emergence of large multi-center population imaging studies raises numerous technological challenges. From distributed data collection, across different institutions and countries, to final data publication service, one must handle the massive, heterogeneous, and complex data from genetics, imaging, demographics, or clinical scores. These data must be both efficiently obtained and downloadable. We present a Python solution, based on the CubicWeb open-source semantic framework, aimed at building population imaging study repositories...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28351382/erratum-to-intego2-a-web-tool-for-measuring-and-visualizing-gene-semantic-similarities-using-gene-ontology
#17
Jiajie Peng, Hongxiang Li, Yongzhuang Liu, Liran Juan, Qinghua Jiang, Yadong Wang, Jin Chen
No abstract text is available yet for this article.
March 28, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28336965/exploring-approaches-for-detecting-protein-functional-similarity-within-an-orthology-based-framework
#18
Christian X Weichenberger, Antonia Palermo, Peter P Pramstaller, Francisco S Domingues
Protein functional similarity based on gene ontology (GO) annotations serves as a powerful tool when comparing proteins on a functional level in applications such as protein-protein interaction prediction, gene prioritization, and disease gene discovery. Functional similarity (FS) is usually quantified by combining the GO hierarchy with an annotation corpus that links genes and gene products to GO terms. One large group of algorithms involves calculation of GO term semantic similarity (SS) between all the terms annotating the two proteins, followed by a second step, described as "mixing strategy", which involves combining the SS values to yield the final FS value...
March 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28335498/on-the-prediction-of-flickr-image-popularity-by-analyzing-heterogeneous-social-sensory-data
#19
Samah Aloufi, Shiai Zhu, Abdulmotaleb El Saddik
The increase in the popularity of social media has shattered the gap between the physical and virtual worlds. The content generated by people or social sensors on social media provides information about users and their living surroundings, which allows us to access a user's preferences, opinions, and interactions. This provides an opportunity for us to understand human behavior and enhance the services provided for both the real and virtual worlds. In this paper, we will focus on the popularity prediction of social images on Flickr, a popular social photo-sharing site, and promote the research on utilizing social sensory data in the context of assisting people to improve their life on the Web...
March 19, 2017: Sensors
https://www.readbyqxmd.com/read/28298238/biofed-federated-query-processing-over-life-sciences-linked-open-data
#20
Ali Hasnain, Qaiser Mehmood, Syeda Sana E Zainab, Muhammad Saleem, Claude Warren, Durre Zehra, Stefan Decker, Dietrich Rebholz-Schuhmann
BACKGROUND: Biomedical data, e.g. from knowledge bases and ontologies, is increasingly made available following open linked data principles, at best as RDF triple data. This is a necessary step towards unified access to biological data sets, but this still requires solutions to query multiple endpoints for their heterogeneous data to eventually retrieve all the meaningful information. Suggested solutions are based on query federation approaches, which require the submission of SPARQL queries to endpoints...
March 15, 2017: Journal of Biomedical Semantics
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