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https://www.readbyqxmd.com/read/28230725/towards-a-semantic-web-of-things-a-hybrid-semantic-annotation-extraction-and-reasoning-framework-for-cyber-physical-system
#1
Zhenyu Wu, Yuan Xu, Yunong Yang, Chunhong Zhang, Xinning Zhu, Yang Ji
Web of Things (WoT) facilitates the discovery and interoperability of Internet of Things (IoT) devices in a cyber-physical system (CPS). Moreover, a uniform knowledge representation of physical resources is quite necessary for further composition, collaboration, and decision-making process in CPS. Though several efforts have integrated semantics with WoT, such as knowledge engineering methods based on semantic sensor networks (SSN), it still could not represent the complex relationships between devices when dynamic composition and collaboration occur, and it totally depends on manual construction of a knowledge base with low scalability...
February 20, 2017: Sensors
https://www.readbyqxmd.com/read/28224131/tashkeela-novel-corpus-of-arabic-vocalized-texts-data-for-auto-diacritization-systems
#2
Taha Zerrouki, Amar Balla
Arabic diacritics are often missed in Arabic scripts. This feature is a handicap for new learner to read َArabic, text to speech conversion systems, reading and semantic analysis of Arabic texts. The automatic diacritization systems are the best solution to handle this issue. But such automation needs resources as diactritized texts to train and evaluate such systems. In this paper, we describe our corpus of Arabic diacritized texts. This corpus is called Tashkeela. It can be used as a linguistic resource tool for natural language processing such as automatic diacritics systems, dis-ambiguity mechanism, features and data extraction...
April 2017: Data in Brief
https://www.readbyqxmd.com/read/28214993/scaleus-semantic-web-services-integration-for-biomedical-applications
#3
Pedro Sernadela, Lorena González-Castro, José Luís Oliveira
In recent years, we have witnessed an explosion of biological data resulting largely from the demands of life science research. The vast majority of these data are freely available via diverse bioinformatics platforms, including relational databases and conventional keyword search applications. This type of approach has achieved great results in the last few years, but proved to be unfeasible when information needs to be combined or shared among different and scattered sources. During recent years, many of these data distribution challenges have been solved with the adoption of semantic web...
April 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28213144/modeling-and-validating-hl7-fhir-profiles-using-semantic-web-shape-expressions-shex
#4
Harold R Solbrig, Eric Prud'hommeaux, Grahame Grieve, Lloyd McKenzie, Joshua C Mandel, Deepak K Sharma, Guoqian Jiang
BACKGROUND: HL7 Fast Healthcare Interoperability Resources (FHIR) is an emerging open standard for the exchange of electronic healthcare information. FHIR resources are defined in a specialized modeling language. FHIR instances can currently be represented in either XML or JSON. The FHIR and Semantic Web communities are developing a third FHIR instance representation format in Resource Description Framework (RDF). Shape Expressions (ShEx), a formal RDF data constraint language, is a candidate for describing and validating the FHIR RDF representation...
February 14, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28203277/semantics-based-plausible-reasoning-to-extend-the-knowledge-coverage-of-medical-knowledge-bases-for-improved-clinical-decision-support
#5
Hossein Mohammadhassanzadeh, William Van Woensel, Samina Raza Abidi, Syed Sibte Raza Abidi
BACKGROUND: Capturing complete medical knowledge is challenging-often due to incomplete patient Electronic Health Records (EHR), but also because of valuable, tacit medical knowledge hidden away in physicians' experiences. To extend the coverage of incomplete medical knowledge-based systems beyond their deductive closure, and thus enhance their decision-support capabilities, we argue that innovative, multi-strategy reasoning approaches should be applied. In particular, plausible reasoning mechanisms apply patterns from human thought processes, such as generalization, similarity and interpolation, based on attributional, hierarchical, and relational knowledge...
2017: BioData Mining
https://www.readbyqxmd.com/read/28187413/dato-an-atlas-of-biological-databases-and-tools
#6
Qilin Li, Yincong Zhou, Yingmin Jiao, Zhao Zhang, Lin Bai, Li Tong, Xiong Yang, Björn Sommer, Ralf Hofestädt, Ming Chen
This work presents DaTo, a semi-automatically generated world atlas of biological databases and tools. It extracts raw information from all PubMed articles which contain exact URLs in their abstract section, followed by a manual curation of the abstract and the URL accessibility. DaTo features a user-friendly query interface, providing extensible URL-related annotations, such as the status, the location and the country of the URL. A graphical interaction network browser has also been integrated into the DaTo web interface to facilitate exploration of the relationship between different tools and databases with respect to their ontology-based semantic similarity...
December 18, 2016: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28155727/an-improved-method-for-functional-similarity-analysis-of-genes-based-on-gene-ontology
#7
Zhen Tian, Chunyu Wang, Maozu Guo, Xiaoyan Liu, Zhixia Teng
BACKGROUND: Measures of gene functional similarity are essential tools for gene clustering, gene function prediction, evaluation of protein-protein interaction, disease gene prioritization and other applications. In recent years, many gene functional similarity methods have been proposed based on the semantic similarity of GO terms. However, these leading approaches may make errorprone judgments especially when they measure the specificity of GO terms as well as the IC of a term set. Therefore, how to estimate the gene functional similarity reliably is still a challenging problem...
December 23, 2016: BMC Systems Biology
https://www.readbyqxmd.com/read/28151816/mobile-technology-in-the-perioperative-arena-rapid-evolution-and-future-disruption
#8
Brian S Rothman, Rajnish K Gupta, Matthew D McEvoy
Throughout the history of medicine, physicians have relied upon disruptive innovations and technologies to improve the quality of care delivered, patient outcomes, and patient satisfaction. The implementation of mobile technology in health care is quickly becoming the next disruptive technology. We first review the history of mobile technology over the past 3 decades, discuss the impact of hardware and software, explore the rapid expansion of applications (apps), and evaluate the adoption of mobile technology in health care...
March 2017: Anesthesia and Analgesia
https://www.readbyqxmd.com/read/28122056/vigi4med-scraper-a-framework-for-web-forum-structured-data-extraction-and-semantic-representation
#9
Bissan Audeh, Michel Beigbeder, Antoine Zimmermann, Philippe Jaillon, Cédric Bousquet
The extraction of information from social media is an essential yet complicated step for data analysis in multiple domains. In this paper, we present Vigi4Med Scraper, a generic open source framework for extracting structured data from web forums. Our framework is highly configurable; using a configuration file, the user can freely choose the data to extract from any web forum. The extracted data are anonymized and represented in a semantic structure using Resource Description Framework (RDF) graphs. This representation enables efficient manipulation by data analysis algorithms and allows the collected data to be directly linked to any existing semantic resource...
2017: PloS One
https://www.readbyqxmd.com/read/28120406/generalization-and-maintenance-of-treatment-gains-in-primary-progressive-aphasia-ppa-a-systematic-review
#10
REVIEW
Inês Cadório, Marisa Lousada, Paula Martins, Daniela Figueiredo
BACKGROUND: Cognitive-linguistic treatments and interventions targeting communication have been developed within the context of primary progressive aphasia (PPA), however knowledge about the scope of generalization and maintenance of therapy gains considering PPA subtypes remains scarce and awaits systematic investigation. AIMS: To analyse the effects of semantic therapy on generalization and maintenance of treatment outcomes in individuals with PPA, considering its different subtypes...
January 24, 2017: International Journal of Language & Communication Disorders
https://www.readbyqxmd.com/read/28114069/web-video-event-recognition-by-semantic-analysis-from-ubiquitous-documents
#11
Litao Yu, Yang Yang, Zi Huang, Peng Wang, Jingkuan Song, Heng Shen
In recent years, the task of event recognition from videos has attracted increasing interest in multimedia area. While most of the existing research was mainly focused on exploring visual cues to handle relatively small-granular events, it is difficult to directly analyse video content without any prior knowledge. Therefore, synthesizing both the visual and semantic analysis is a natural way for video event understanding. In this paper, we study the problem of web video event recognition, where web videos often describe largegranular events and carry limited textual information...
September 27, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28077170/prosodic-processing-post-traumatic-brain-injury-a-systematic-review
#12
Gabriela Ilie, Michael D Cusimano, Wenshan Li
BACKGROUND: Traumatic brain injury (TBI) survivors often report difficulties with understanding and producing paralinguistic cues, as well as understanding and producing basic communication tasks. However, a large range of communicative deficits in this population cannot be adequately explained by linguistic impairment. The review examines prosodic processing performance post-TBI, its relationship with injury severity, brain injury localization, recovery and co-occurring psychiatric or mental health issues post-TBI METHODS: A systematic review using several databases including MEDLINE, EMBASE, Cochrane, LLBA (Linguistics and Language Behaviour Abstract) and Web of Science (January 1980 to May 2015), as well as a manual search of the cited references of the selected articles and the search cited features of PubMed was performed...
January 4, 2017: Systematic Reviews
https://www.readbyqxmd.com/read/28062448/ontologyx-a-suite-of-r-packages-for-working-with-ontological-data
#13
Daniel Greene, Sylvia Richardson, Ernest Turro
: Ontologies are widely used constructs for encoding and analyzing biomedical data, but the absence of simple and consistent tools has made exploratory and systematic analysis of such data unnecessarily difficult. Here we present three packages which aim to simplify such procedures. The ontologyIndex package enables arbitrary ontologies to be read into R, supports representation of ontological objects by native R types, and provides a parsimonius set of performant functions for querying ontologies...
January 5, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28060704/segnet-a-deep-convolutional-encoder-decoder-architecture-for-scene-segmentation
#14
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla
We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable segmentation engine consists of an encoder network, a corresponding decoder network followed by a pixel-wise classification layer. The architecture of the encoder network is topologically identical to the 13 convolutional layers in the VGG16 network [1]. The role of the decoder network is to map the low resolution encoder feature maps to full input resolution feature maps for pixel-wise classification...
January 2, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28059689/an-integrated-health-neighbourhood-framework-to-optimise-the-use-of-ehr-data
#15
Siaw-Teng Liaw, Simon De Lusignan
 General practice should become the hub of integrated health neighbourhoods (IHNs), which involves sharing of information to ensure that medical homes are also part of learning organisations that use electronic health record (EHR) data for care, decision making, teaching and learning, quality improvement and research. The IHN is defined as the primary and ambulatory care services in a locality that relates largely to a single hospital-based secondary care service provider and is the logical denominator and unit of comparison for the optimal use of EHR data and health information exchange (HIE) to facilitate integration and coordination of care...
October 4, 2016: Journal of Innovation in Health Informatics
https://www.readbyqxmd.com/read/28057566/semanticsco-a-platform-to-support-the-semantic-composition-of-services-for-gene-expression-analysis
#16
Gabriela D A Guardia, Luís Ferreira Pires, Eduardo G da Silva, Cléver R G de Farias
Gene expression studies often require the combined use of a number of analysis tools. However, manual integration of analysis tools can be cumbersome and error prone. To support a higher level of automation in the integration process, efforts have been made in the biomedical domain towards the development of semantic web services and supporting composition environments. Yet, most environments consider only the execution of simple service behaviours and requires users to focus on technical details of the composition process...
January 2, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28035214/easy-extraction-of-terms-and-definitions-with-owl2tl
#17
John Judkins, Joseph Utecht, Mathias Brochhausen
Facilitating good communication between semantic web specialists and domain experts is necessary to efficient ontology development. This development may be hindered by the fact that domain experts tend to be unfamiliar with tools used to create and edit OWL files. This is true in particular when changes to definitions need to be reviewed as often as multiple times a day. We developed "OWL to Term List" (OWL2TL) with the goal of allowing domain experts to view the terms and definitions of an OWL file organized in a list that is updated each time the OWL file is updated...
August 2016: CEUR Workshop Proceedings
https://www.readbyqxmd.com/read/28031284/drug-drug-interaction-discovery-and-demystification-using-semantic-web-technologies
#18
Adeeb Noor, Abdullah Assiri, Serkan Ayvaz, Connor Clark, Michel Dumontier
OBJECTIVE: To develop a novel pharmacovigilance inferential framework to infer mechanistic explanations for asserted drug-drug interactions (DDIs) and deduce potential DDIs. MATERIALS AND METHODS: A mechanism-based DDI knowledge base was constructed by integrating knowledge from several existing sources at the pharmacokinetic, pharmacodynamic, pharmacogenetic, and multipathway interaction levels. A query-based framework was then created to utilize this integrated knowledge base in conjunction with 9 inference rules to infer mechanistic explanations for asserted DDIs and deduce potential DDIs...
December 28, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28019640/semantic-dementia-a-mini-review
#19
Blanka Klimova, Michal Novotny, Kamil Kuca
BACKGROUND: At present there are about 47.5 million people suffering from different types of dementia and by 2030 this number should reach 75.6 million. This obviously brings about serious social and economic burden for people suffering from any kind of dementia. OBJECTIVE: The purpose of this article is to explore only semantic dementia (SD) as one of the forms of frontotemporal dementia (FTD) and provide the latest information on its diagnosis and treatment which play a significant role in the maintenance of quality of life of both patients and their caregivers...
December 23, 2016: Mini Reviews in Medicinal Chemistry
https://www.readbyqxmd.com/read/27992262/the-kit-motion-language-dataset
#20
Matthias Plappert, Christian Mandery, Tamim Asfour
Linking human motion and natural language is of great interest for the generation of semantic representations of human activities as well as for the generation of robot activities based on natural language input. However, although there have been years of research in this area, no standardized and openly available data set exists to support the development and evaluation of such systems. We, therefore, propose the Karlsruhe Institute of Technology (KIT) Motion-Language Dataset, which is large, open, and extensible...
December 2016: Big Data
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