Locating Doctors using Social and Semantic Web Technologies

2011 ◽  
pp. 94-106
Author(s):  
Alejandro Rodríguez-González ◽  
Ángel García-Crespo ◽  
Ricardo Colomo-Palacios ◽  
José Emilio Labra-Gayo ◽  
Juan Miguel Gómez Berbís
Keyword(s):  
Medical Diagnosis ◽  
Geographical Information Systems ◽  
Improve Patient Care ◽  
User Preferences ◽  
Geographical Information ◽  
Social Web ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Knowledge Based ◽  
Promising Tool

The advent of the information age represents both a challenge and an opportunity for medicine. New forms of diagnosis, innovation-oriented supervision and expert location paths are deeply impacting medical sciences as we know it around the word. In this new scenario, semantic technologies can be seen as new and promising tool to support knowledge-based services, and particularly for the health domain, medical diagnosis. This chapter presents MedFinder, a system based on semantic technologies and social Web to improve patient care for medical diagnosis. The main breakthroughs of MedFinder are the follow-up once the diagnosis is performed, by using a medical ontology and formal reasoning together with rules, since it makes possible to locate the most appropriate doctor for a patient using Geographical Information Systems (GIS) and taking into account user preferences given via social Web feedback.

DISMON

2011 ◽  
pp. 995-1007
Author(s):  
Ángel M. Lagares-Lemos ◽  
Miguel Lagares-Lemos ◽  
Ricardo Colomo-Palacios ◽  
Ángel García-Crespo ◽  
Juan Miguel Gómez-Berbís
Keyword(s):  
Medical Diagnosis ◽  
Medical Information ◽  
Clinical Symptoms ◽  
Improve Patient Care ◽  
Social Dimension ◽  
The Internet ◽  
Semantic Technologies ◽  
Medical Information Systems ◽  
Challenges And Opportunities ◽  
Improve Patient

Information technology and, more precisely, the internet represent challenges and opportunities for medicine. Technology-driven medicine has changed how practitioners perform their roles in and medical information systems have recently gained momentum as a proof-of-concept of the efficiency of new support-oriented technologies. Emerging applications combine sharing information with a social dimension. This paper presents DISMON (Disease Monitor), a system based on Semantic Technologies and Social Web (SW) to improve patient care for medical diagnosis in limited environments, namely, organizations. DISMON combines Web 2.0 capacities and SW to provide semantic descriptions of clinical symptoms, thereby facilitating diagnosis and helping to foresee diseases, giving useful information to the company and its employees to increase efficiency by means of the prevention of injuries and illnesses, resulting in a safety environment for workers.

DISMON

2013 ◽  
pp. 48-59
Author(s):  
Ángel M. Lagares-Lemos ◽  
Miguel Lagares-Lemos ◽  
Ricardo Colomo-Palacios ◽  
Ángel García-Crespo ◽  
Juan Miguel Gómez-Berbís
Keyword(s):  
Medical Diagnosis ◽  
Medical Information ◽  
Clinical Symptoms ◽  
Improve Patient Care ◽  
Social Dimension ◽  
The Internet ◽  
Semantic Technologies ◽  
Medical Information Systems ◽  
Challenges And Opportunities ◽  
Improve Patient

Information technology and, more precisely, the internet represent challenges and opportunities for medicine. Technology-driven medicine has changed how practitioners perform their roles in and medical information systems have recently gained momentum as a proof-of-concept of the efficiency of new support-oriented technologies. Emerging applications combine sharing information with a social dimension. This paper presents DISMON (Disease Monitor), a system based on Semantic Technologies and Social Web (SW) to improve patient care for medical diagnosis in limited environments, namely, organizations. DISMON combines Web 2.0 capacities and SW to provide semantic descriptions of clinical symptoms, thereby facilitating diagnosis and helping to foresee diseases, giving useful information to the company and its employees to increase efficiency by means of the prevention of injuries and illnesses, resulting in a safety environment for workers.

scholarly journals Deep oceanic submarine fieldwork with undergraduate students: an immersive experience with the Minerve software

Solid Earth ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 2789-2802
Author(s):  
Marianne Métois ◽  
Jean-Emmanuel Martelat ◽  
Jérémy Billant ◽  
Muriel Andreani ◽  
Javier Escartín ◽  
...  
Keyword(s):  
Earth Sciences ◽  
Undergraduate Students ◽  
Geographical Information Systems ◽  
Active Fault ◽  
Active Tectonics ◽  
Deep Ocean ◽  
Geographical Information ◽  
Remotely Operated Vehicle ◽  
Promising Tool ◽  
Teachers And Students

Abstract. We present the content and scripting of an active tectonic lab session conceived for third-year undergraduate students studying Earth sciences at Observatoire des Sciences de l'Univers in Lyon. This session is based on a research project conducted on the submarine Roseau active fault in the Lesser Antilles. The fault morphology is particularly interesting to map as this structure in the deep ocean is preserved from weathering. Thus, high-resolution models computed from remotely operated vehicle (ROV) videos provide exceptional educational material to link fault morphology and coseismic displacement. This class includes mapping exercises on geographical information systems and virtual fieldwork to provide basic understanding of active tectonics and active fault morphology in particular. The work has been conducted either in a full remote configuration via 3D online models or in virtual reality (VR) in a dedicated room using the Minerve software. During the VR sessions, students were either alone in the VR environment or participated as a group that included the instructor (physically in the classroom or remotely from another location), which is to our knowledge one of the first attempts of this kind in France. We discuss the efficiency of virtual fieldwork using VR based on feedback from teachers and students. We conclude that VR is a promising tool to learn observational skills in Earth sciences, subject to certain improvements that should be possible in the years to come.

Personalization Based on Semantic Web Technologies

2009 ◽  
pp. 52-75 ◽  
Author(s):  
Vassileios Tsetsos
Keyword(s):  
Knowledge Management ◽  
Semantic Web ◽  
User Preferences ◽  
Main Topic ◽  
User Profiles ◽  
Semantic Web Technologies ◽  
Distributed Knowledge ◽  
Web Based ◽  
Web Technologies ◽  
Knowledge Based

Personalization techniques provide optimized access to content and services, based on the preferences and the characteristics of each individual user. Nowadays many applications, either Web-based or not, call for personalized behavior. Obviously, such behavior leads to an increased demand for knowledge management, since personalization is based on user profiles, user preferences, usage policies, and other knowledge components. The main topic of this chapter is the investigation of how well Semantic Web technologies apply to personalized applications. Semantic Web is a relatively new platform for developing (distributed) knowledge-based applications that has gained great popularity in previous years. Hence, this chapter surveys the most prominent techniques for personalization in the context of the Semantic Web. It discusses and compares different approaches to architectural and engineering techniques and other issues relevant to this hot topic. The chapter provides foundational knowledge on this topic, as well as discussion on some key implementation issues.

DISMON

2011 ◽  
Vol 4 (1) ◽  
pp. 48-59 ◽  
Author(s):  
Ángel M. Lagares-Lemos ◽  
Miguel Lagares-Lemos ◽  
Ricardo Colomo-Palacios ◽  
Ángel García-Crespo ◽  
Juan Miguel Gómez-Berbís
Keyword(s):  
Medical Information ◽  
Clinical Symptoms ◽  
Improve Patient Care ◽  
Social Dimension ◽  
Social Web ◽  
Semantic Technologies ◽  
Proof Of Concept ◽  
Medical Information Systems ◽  
Challenges And Opportunities ◽  
Improve Patient

Information technology and, more precisely, the internet represent challenges and opportunities for medicine. Technology-driven medicine has changed how practitioners perform their roles in and medical information systems have recently gained momentum as a proof-of-concept of the efficiency of new support-oriented technologies. Emerging applications combine sharing information with a social dimension. This paper presents DISMON (Disease Monitor), a system based on Semantic Technologies and Social Web (SW) to improve patient care for medical diagnosis in limited environments, namely, organizations. DISMON combines Web 2.0 capacities and SW to provide semantic descriptions of clinical symptoms, thereby facilitating diagnosis and helping to foresee diseases, giving useful information to the company and its employees to increase efficiency by means of the prevention of injuries and illnesses, resulting in a safety environment for workers.

scholarly journals The Concept and Technologies of Quality of Geographic Information Service: Improving User Experience of GIServices in a Distributed Computing Environment

2019 ◽  
Vol 8 (3) ◽  
pp. 118 ◽  
Author(s):  
Kai Hu ◽  
Zhipeng Gui ◽  
Xiaoqiang Cheng ◽  
Huayi Wu ◽  
Stephen McClure
Keyword(s):  
Spatial Data ◽  
Geographical Information Systems ◽  
Performance Enhancement ◽  
Optimization Problems ◽  
Information Service ◽  
Geographic Information ◽  
User Preferences ◽  
Geographical Information ◽  
Quality Modeling

With the wide use of web technologies, service-oriented architecture (SOA), and cloud computing, more and more geographical information systems are served as GIServices. Under such circumstance, quality of geographic information services (QoGIS) has emerged as an important research topic of geoinformatics. However, it is not easy to understand the field since QoGIS has no formal standards, which is not only in regard to server-side performance and capabilities, but is also related with the quality of experience (QoE) during user interaction with GIServices. In this paper, we compare quality of service (QoS) and QoGIS research to understand the uniqueness of QoGIS. A conceptual framework is proposed to organize and interpret QoGIS research from the perspective of quality modeling, acquisition, and application, and we discuss the status, limitations, and future directions of this area. Overall, our analysis shows that new quality metrics will evolve from existing metrics to match the needs in concrete QoGIS applications, and user preferences need to be considered in quality modeling for GIServices. We discuss three approaches for the provision of QoGIS information and find that user feedback mining is an important supplementary source of quality information. Gaps between QoS and QoGIS research suggest that the GIService performance enhancement must not only consider the unique features of spatial data models and algorithms, but also system architecture, deployment, and user spatiotemporal access behaviors. Advanced service selection algorithms must be introduced to tackle the quality optimization problems of geoprocessing workflow planning. Moreover, a QoGIS-aware GIServices framework must be established to facilitate and ensure GISerivce discovery and interaction. We believe this bibliographic review provides a helpful guide for GIS researchers.

scholarly journals BIM-GIS INTEGRATED GEOSPATIAL INFORMATION MODEL USING SEMANTIC WEB AND RDF GRAPHS

2016 ◽  
Vol III-4 ◽  
pp. 73-79 ◽  
Author(s):  
A-H. Hor ◽  
A. Jadidi ◽  
G. Sohn
Keyword(s):  
Semantic Web ◽  
Geographical Information Systems ◽  
Spatial Information ◽  
Information Model ◽  
Facility Management ◽  
Geographical Information ◽  
Geospatial Information ◽  
Semantic Web Technologies ◽  
Novel Approach ◽  
Rdf Graphs

In recent years, 3D virtual indoor/outdoor urban modelling becomes a key spatial information framework for many civil and engineering applications such as evacuation planning, emergency and facility management. For accomplishing such sophisticate decision tasks, there is a large demands for building multi-scale and multi-sourced 3D urban models. Currently, Building Information Model (BIM) and Geographical Information Systems (GIS) are broadly used as the modelling sources. However, data sharing and exchanging information between two modelling domains is still a huge challenge; while the syntactic or semantic approaches do not fully provide exchanging of rich semantic and geometric information of BIM into GIS or vice-versa. This paper proposes a novel approach for integrating BIM and GIS using semantic web technologies and Resources Description Framework (RDF) graphs. The novelty of the proposed solution comes from the benefits of integrating BIM and GIS technologies into one unified model, so-called Integrated Geospatial Information Model (IGIM). The proposed approach consists of three main modules: BIM-RDF and GIS-RDF graphs construction, integrating of two RDF graphs, and query of information through IGIM-RDF graph using SPARQL. The IGIM generates queries from both the BIM and GIS RDF graphs resulting a semantically integrated model with entities representing both BIM classes and GIS feature objects with respect to the target-client application. The linkage between BIM-RDF and GIS-RDF is achieved through SPARQL endpoints and defined by a query using set of datasets and entity classes with complementary properties, relationships and geometries. To validate the proposed approach and its performance, a case study was also tested using IGIM system design.

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