Debugging Mappings between Biomedical Ontologies: Preliminary Results from the NCBO BioPortal Mapping Repository

The ability to provide semantic mappings between multiple large biomedical ontologies is considered as a very important, albeit labor-intensive and error-prone task. To facilitate such a process, several approaches for collaborative ontology mapping building and sharing have been proposed in the recent past. However, despite the improvements in community-wide mappings development, more often the mapping rules are redundant, incoherent, and at times, incorrect. In this paper, we present an approach for identifying such “erroneous mappings” using Distributed Description Logics. Specifically, we illustrate how logical reasoning can be used to discover semantic inconsistencies caused by erroneous mappings, and provide preliminary results of experiments based on the National Center for Biomedical Ontology BioPortal mapping repository

Enhancement of Fault Ride-Through Capability during Symmetrical Fault of the DFIG Wind Turbine using Alternative Resistive-type SFCL

In this paper, the resistive-type superconducting fault current limiter (RT-SFCL) with doubly-fed induction gen¬erator (DFIG) based wind turbine has been proposed to suppress the steady-state and transient fault current at stator side to improve the fault ride through (FRT) capability of the system. This fault current limiter utilizing the superconductor dc coil so there is not any power loss during both normal as well as faulty operation of system. The analytical analysis has been also presented. The simulation results of a 0.9 MW/0.69 kV, the DFIG-based wind turbine are obtained with and without proposed RT-SFCL using PSCAD/EMTDC software. Finally, it observed that the voltage sag at the generator terminal and consumption of reactive power from the grid has been reduced during symmetrical faul

LexOWL: A Bridge from LexGrid to OWL

The Lexical Grid project is an on-going community driven initiative that provides a common terminology model to represent multiple vocabulary and ontology sources as well as a scalable and robust API for accessing such information. In order to add more powerful functionalities to the existing infrastructure and align LexGrid more closely with various Semantic Web technologies, we introduce the LexOWL project for representing the ontologies modeled within the LexGrid environment in OWL (Web Ontology Language). The crux of this effort is to create a “bridge” that functionally connects the LexBIG (a LexGrid API) and the OWL API (an interface that implements OWL) seamlessly. In this paper, we discuss the key aspects of designing and implementing the LexOWL bridge. We compared LexOWL with other OWL converting tools and conclude that LexOWL provides an OWL mapping and converting tool with well-defined interoperability for information in the biomedical domain

Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media

With the rise of social media, millions of people are routinely expressing their moods, feelings, and daily struggles with mental health issues on social media platforms like Twitter. Unlike traditional observational cohort studies conducted through questionnaires and self-reported surveys, we explore the reliable detection of clinical depression from tweets obtained unobtrusively. Based on the analysis of tweets crawled from users with self-reported depressive symptoms in their Twitter profiles, we demonstrate the potential for detecting clinical depression symptoms which emulate the PHQ-9 questionnaire clinicians use today. Our study uses a semi-supervised statistical model to evaluate how the duration of these symptoms and their expression on Twitter (in terms of word usage patterns and topical preferences) align with the medical findings reported via the PHQ-9. Our proactive and automatic screening tool is able to identify clinical depressive symptoms with an accuracy of 68% and precision of 72%.Comment: 8 pages, Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferenc

LexOWL: A Bridge from LexGrid to OWL

The Lexical Grid project is an on-going community driven initiative that provides a common terminology model to represent multiple vocabulary and ontology sources as well as a scalable and robust API for accessing such information. In order to add more powerful functionalities to the existing infrastructure and align LexGrid more closely with various Semantic Web technologies, we introduce the LexOWL project for representing the ontologies modeled within the LexGrid environment in OWL (Web Ontology Language). The crux of this effort is to create a “bridge” that functionally connects the LexBIG (a LexGrid API) and the OWL API (an interface that implements OWL) seamlessly. In this paper, we discuss the key aspects of designing and implementing the LexOWL bridge. We compared LexOWL with other OWL converting tools and conclude that LexOWL provides an OWL mapping and converting tool with well-defined interoperability for information in the biomedical domain