Extracting and Integrating Nutrition Related Linked Data

2015 ◽  
Vol 09 (03) ◽  
pp. 353-372
Author(s):  
Qingliang Miao ◽  
Ruiyu Fang ◽  
Yao Meng

The development of modern health care and clinical practice increase the need of nutritional and medical data extraction and integration across heterogeneous data sources. It can be useful for researchers and patients if there is a way to extract relevant information and organize it as easily shared and machine processable linked data. In this paper, we describe an automatic approach that extracts and publishes nutritional linked data including nutritional concepts and relationships extracted from nutritional data sources. Moreover, we link the nutritional data with Linked Open Data. In particular, a CRF-based approach is used to mine food, ingredient, disease entities and their relationships from nutritional text. And then, an extended nutritional ontology is used to organize the extracted data. Finally, we assign semantic links between food, ingredient, disease entities and other equivalent entities in DBPedia, Diseasome and LinkedCT.

2004 ◽  
Vol 128 (1) ◽  
pp. 23-31
Author(s):  
Orieji C. Illoh

Abstract Context.—To review the applications of flow cytometry in the diagnosis and management of primary immunodeficiency disease. Data Sources.—Articles describing the use of flow cytometry in the diagnosis of several primary immunodeficiency diseases were obtained through the National Library of Medicine database. Study Selection.—Publications that described novel and known applications of flow cytometry in primary immunodeficiency disease were selected. Review articles were included. Articles describing the different immunodeficiency diseases and methods of diagnosis were also selected. Data Extraction.—Approximately 100 data sources were analyzed, and those with the most relevant information were selected. Data Synthesis.—The diagnosis of many primary immunodeficiency diseases requires the use of several laboratory tests. Flow cytometry has become an important part of the workup of individuals suspected to have such a disorder. Knowledge of the pathogenesis of many of these diseases continues to increase, hence we acquire a better understanding of the laboratory tests that may be helpful in diagnosis. Conclusions.—Flow cytometry is applicable in the initial workup and subsequent management of several primary immunodeficiency diseases. As our understanding of the pathogenesis and management of these diseases increases, the use of many of these assays may become routine in hospitals.


2018 ◽  
Vol 186 ◽  
pp. 12013 ◽  
Author(s):  
Luisa Schiavone ◽  
Federico Morando ◽  

The CoBiS is a network formed by 65 libraries. The project is a pilot for Piedmont that is aiming to provide the Committee with an infrastructure for LOD publishing, thus creating a triplification pipeline designed to be easy to automate and replicate. This is being realized with open source technologies, such as the RML mapping language or the JARQL tool that uses Linked Data to describe the conversion of XML, JSON or tabular data into RDF. The first challenge consisted in making possible the dialog of heterogeneous data sources, coming from four different library software (Clavis, Erasmo, SBNWeb and BIBLIOWin 5.0web) and different types of data (bibliographic, multimedia, and archival). The information contained in the catalogs is progressively interlinked with external data sources, such as Wikidata, VIAF, LoC and BNF authority files, Wikipedia and the Dizionario Biografico degli Italiani. Partners of the CoBiS LOD Project are: National Institute for Astrophysics (INAF), Turin Academy of Sciences, Olivetti Historical Archives Association, Alpine Club National Library, Deputazione Subalpina di Storia Patria, National Institute for Metrological Research (INRIM). The technical realization of the project is entrusted to Synapta, and it is partially sponsored by Piedmont Region.


Author(s):  
Bonnie MacKellar ◽  
Christina Schweikert ◽  
Soon Ae Chun

Patients often want to participate in relevant clinical trials for new or more effective alternative treatments. The clinical search system made available by the NIH is a step forward to support the patient's decision making, but, it is difficult to use and requires the patient to sift through lengthy text descriptions for relevant information. In addition, patients deciding whether to pursue a given trial often want more information, such as drug information. The authors' overall aim is to develop an intelligent patient-centered clinical trial decision support system. Their approach is to integrate Open Data sources related to clinical trials using the Semantic Web's Linked Data framework. The linked data representation, in terms of RDF triples, allows the development of a clinical trial knowledge base that includes entities from different open data sources and relationships among entities. The authors consider Open Data sources such as clinical trials provided by NIH as well as the drug side effects dataset SIDER. The authors use UMLS (Unified Medical Language System) to provide consistent semantics and ontological knowledge for clinical trial related entities and terms. The authors' semantic approach is a step toward a cognitive system that provides not only patient-centered integrated data search but also allows automated reasoning in search, analysis and decision making using the semantic relationships embedded in the Linked data. The authors present their integrated clinical trial knowledge base development and a prototype, patient-centered Clinical Trial Decision Support System that include capabilities of semantic search and query with reasoning ability, and semantic-link browsing where an exploration of one concept leads to other concepts easily via links which can provide visual search for the end users.


Author(s):  
Fabio A. Schreiber ◽  
Alberto Belussi ◽  
Valeria De Antonellis ◽  
Maria G. Fugini ◽  
Letizia Tanca ◽  
...  

The design of a Web-geographical information system strongly requires methodological and operational tools to deal with information distributed in multiple, autonomous and heterogeneous data sources, and a uniform data publishing methodology and policy over Internet web sites. In this chapter, we describe our experience for the activities of requirement analysis and conceptual design of the DEAFIN Web-geographical information system whose objective is to improve the quality and the comparability of information about available industrial vacant sites, coming from different regional data sources. Heterogeneity and web availability requirements have been taken into account in the system architecture design. The DEAFIN system is thus conceived as a federated web-based information system, capable of managing and providing access to all the regional relevant information in an integrated and complete fashion. Furthermore, since the data available by a given DEAFIN region partner can be both spatial data and alphanumeric data, for each regional component system in the DEAFIN system, a Web-GIS system is defined.


Author(s):  
Amir Hassanpour ◽  
Alexander Bigazzi ◽  
Don MacKenzie

Better understanding of the impacts of new mobility services (NMS) is needed to inform evidence-based policy, but cities and researchers are hindered by a lack of access to detailed system data. Application programming interface (API) services can be a medium for real-time data sharing and access, and have been used for data collection in the past, but the literature lacks a systematic examination of the potential value of publicly available API data for extracting policy-relevant information, specifically supply and demand, on NMS. The objectives of this study are: 1) to catalogue all the publicly available API data streams for NMS in three major cities known as the Cascadia Corridor (Vancouver, British Columbia; Seattle, Washington; and Portland, Oregon); 2) to create, apply, and share web data extraction tools (Python scripts) for each API; and 3) to assess the usefulness of the extracted data in quantifying supply and demand for each service. Results reveal some measures of supply and demand that can be extracted from API data and be useful in future analysis (mostly for bikeshare and carshare services, not ridesourcing). However, important information on supply and demand of most of the NMS in these cities cannot be obtained through API data extraction. Stronger open data policies for mobility services are therefore needed if policymakers want to obtain useful and independent insights on the usage of these services.


Author(s):  
B. Margan ◽  
F. Hakimpour

Abstract. Linked Data is available data on the web in a standard format that is useful for content inspection and insights deriving from data through semantic queries. Querying and Exploring spatial and temporal features of various data sources will be facilitated by using Linked Data. In this paper, an application is presented for linking transport data on the web. Data from Google Maps API and OpenStreetMap linked and published on the web. Spatio-Temporal queries were executed over linked transport data and resulted in network and traffic information in accordance with the user’s position. The client-side of this application contains a web and a mobile application which presents a user interface to access network and traffic information according to the user’s position. The results of the experiment show that by using the intrinsic potential of Linked Data we have tackled the challenges of using heterogeneous data sources and have provided desirable information that could be used for discovering new patterns. The mobile GIS application enables assessing the profits of mentioned technologies through an easy and user-friendly way.


Author(s):  
V. De Antonellis ◽  
G. Pozzi ◽  
F.A. Schreiber ◽  
L. Tanca ◽  
L. Tosi

The design of a Web-geographical information system, Web-GIS (Worboys & Duckham, 2004; Zhong Ren & Ming Hsiang, 2003), strongly requires methodological and operational tools for dealing with information distributed in multiple, autonomous and heterogeneous data sources, and a uniform data publishing methodology and policy over Internet Web sites. In this article we describe the experience of the Politecnico di Milano group in the activities of requirement analysis and conceptual design of the DEAFIN Web-GIS (Schreiber et al., 2003), whose objective is to provide a common environment for comparison of information about available vacant industrial sites coming from different regional data sources. Heterogeneity and Web availability requirements have been taken into account in the system architecture design; the system is thus conceived as a federated Web-based information system, apt to manage and provide access to all the regional relevant information in an integrated and complete fashion. Furthermore, since the data available by a given region partner can be both spatial and alphanumeric, a Web-GIS is defined for each regional component system.


2017 ◽  
Author(s):  
Peb Ruswono Aryan ◽  
Fajar Juang Ekaputra ◽  
Kabul Kurniawan ◽  
Elmar Kiesling ◽  
A Min Tjoa

Recent advances in linked data generation through mapping such as RML (RDF mapping language) allows for providing large-scale RDF data in a more automatic way.However, considerable amount of data in open data portals remain inaccessible as linked data.This is due to the nature of data portals having large number of small-size dataset which makes writing mapping description becomes tedious and error-prone. Moreover, these data sources requires additional preprocessing before To solve this challenge, We introduce extensions to RML to support required tasks and developed RMLx, a visual web-interface to create RML mappings.Using this interface, the process of creating mapping description can become faster and less error-prone.Furthermore, the process of linked data generation can be wrapped as to enable integration with other data in a linked data exploration environment. We explore on four different use cases to identify the requirements followed by describing how these are solved.


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