Semantic Representation for Experimental Protocols
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Search with Meanings: an Overview of Semantic Search Systems
Search with Meanings: An Overview of Semantic Search Systems Wang Wei, Payam M. Barnaghi, Andrzej Bargiela School of Computer Science, University of Nottingham Malaysia Campus Jalan Broga, 43500 Semenyih, Selangor, Malaysia Email: feyx6ww; payam.barnaghi; [email protected] Abstract: Research on semantic search aims to improve con- information. The paper provides a survey to gain an overall ventional information search and retrieval methods, and facil- view of the current research status. We classify our studied sys- itate information acquisition, processing, storage and retrieval tems into several categories according to their most distinctive on the semantic web. The past ten years have seen a num- features, as discussed in the next section. The categorisation ber of implemented semantic search systems and various pro- by no means prevents a system from being classified into other posed frameworks. A comprehensive survey is needed to gain categories. Further, we limit the scope of the survey to Web an overall view of current research trends in this field. We and Intranet searching and browsing systems (also including have investigated a number of pilot projects and corresponding some question answering and multimedia presentation gener- practical systems focusing on their objectives, methodologies ation systems). There are also few other survey studies of se- and most distinctive characteristics. In this paper, we report mantic search research, Makel¨ a¨ provides a short survey con- our study and findings based on which a generalised semantic cerning search methodologies [34]; Hildebrand et al discuss search framework is formalised. Further, we describe issues the related research from three perspectives: query construc- with regards to future research in this area. -
Automated Development of Semantic Data Models Using Scientific Publications Martha O
University of New Mexico UNM Digital Repository Computer Science ETDs Engineering ETDs Spring 5-12-2018 Automated Development of Semantic Data Models Using Scientific Publications Martha O. Perez-Arriaga University of New Mexico Follow this and additional works at: https://digitalrepository.unm.edu/cs_etds Part of the Computer Engineering Commons Recommended Citation Perez-Arriaga, Martha O.. "Automated Development of Semantic Data Models Using Scientific ubP lications." (2018). https://digitalrepository.unm.edu/cs_etds/89 This Dissertation is brought to you for free and open access by the Engineering ETDs at UNM Digital Repository. It has been accepted for inclusion in Computer Science ETDs by an authorized administrator of UNM Digital Repository. For more information, please contact [email protected]. Martha Ofelia Perez Arriaga Candidate Computer Science Department This dissertation is approved, and it is acceptable in quality and form for publication: Approved by the Dissertation Committee: Dr. Trilce Estrada-Piedra, Chairperson Dr. Soraya Abad-Mota, Co-chairperson Dr. Abdullah Mueen Dr. Sarah Stith i AUTOMATED DEVELOPMENT OF SEMANTIC DATA MODELS USING SCIENTIFIC PUBLICATIONS by MARTHA O. PEREZ-ARRIAGA M.S., Computer Science, University of New Mexico, 2008 DISSERTATION Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Computer Science The University of New Mexico Albuquerque, New Mexico May, 2018 ii Dedication “The highest education is that which does not merely give us information but makes our life in harmony with all existence" Rabindranath Tagore I dedicate this work to the memory of my primary role models: my mother and grandmother, who always gave me a caring environment and stimulated my curiosity. -
Article Reference
Article Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines BABIC, Zeljana, et al. Abstract The use of misidentified and contaminated cell lines continues to be a problem in biomedical research. Research Resource Identifiers (RRIDs) should reduce the prevalence of misidentified and contaminated cell lines in the literature by alerting researchers to cell lines that are on the list of problematic cell lines, which is maintained by the International Cell Line Authentication Committee (ICLAC) and the Cellosaurus database. To test this assertion, we text-mined the methods sections of about two million papers in PubMed Central, identifying 305,161 unique cell-line names in 150,459 articles. We estimate that 8.6% of these cell lines were on the list of problematic cell lines, whereas only 3.3% of the cell lines in the 634 papers that included RRIDs were on the problematic list. This suggests that the use of RRIDs is associated with a lower reported use of problematic cell lines. Reference BABIC, Zeljana, et al. Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines. eLife, 2019, vol. 8, p. e41676 DOI : 10.7554/eLife.41676 PMID : 30693867 Available at: http://archive-ouverte.unige.ch/unige:119832 Disclaimer: layout of this document may differ from the published version. 1 / 1 FEATURE ARTICLE META-RESEARCH Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines Abstract The use of misidentified and contaminated cell lines continues to be a problem in biomedical research. -
Introduction to Linked Data and Its Lifecycle on the Web
Introduction to Linked Data and its Lifecycle on the Web Sören Auer, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Amrapali Zaveri AKSW, Institut für Informatik, Universität Leipzig, Pf 100920, 04009 Leipzig {lastname}@informatik.uni-leipzig.de http://aksw.org Abstract. With Linked Data, a very pragmatic approach towards achieving the vision of the Semantic Web has gained some traction in the last years. The term Linked Data refers to a set of best practices for publishing and interlinking struc- tured data on the Web. While many standards, methods and technologies devel- oped within by the Semantic Web community are applicable for Linked Data, there are also a number of specific characteristics of Linked Data, which have to be considered. In this article we introduce the main concepts of Linked Data. We present an overview of the Linked Data lifecycle and discuss individual ap- proaches as well as the state-of-the-art with regard to extraction, authoring, link- ing, enrichment as well as quality of Linked Data. We conclude the chapter with a discussion of issues, limitations and further research and development challenges of Linked Data. This article is an updated version of a similar lecture given at Reasoning Web Summer School 2011. 1 Introduction One of the biggest challenges in the area of intelligent information management is the exploitation of the Web as a platform for data and information integration as well as for search and querying. Just as we publish unstructured textual information on the Web as HTML pages and search such information by using keyword-based search engines, we are already able to easily publish structured information, reliably interlink this informa- tion with other data published on the Web and search the resulting data space by using more expressive querying beyond simple keyword searches. -
Linked Data Services for Internet of Things
International Conference on Recent Advances in Computer Systems (RACS 2015) Linked Data Services for Internet of Things Jaroslav Pullmann, Dr. Yehya Mohamad User-Centered Ubiquitous Computing department Fraunhofer Institute for Applied Information Technology FIT Sankt Augustin, Germany {jaroslav.pullmann, yehya.mohamad}@fit.fraunhofer.de Abstract — In this paper we present the open source “LinkSmart Resource Framework” allowing developers to II. LINKSMART RESOURCE FRAMEWORK incorporate heterogeneous data sources and physical devices through a generic service facade independent of the data model, A. Rationale persistence technology or access protocol. We particularly consi- The Java Data Objects standard [2] specifies an interface to der the integration and maintenance of Linked Data, a widely persist Java objects in a technology agnostic way. The related accepted means for expressing highly-structured, machine reada- ble (meta)data graphs. Thanks to its uniform, technology- Java Persistence specification [3] concentrates on object-rela- agnostic view on data, the framework is expected to increase the tional mapping only. We consider both specifications techno- ease-of-use, maintainability and usability of software relying on logy-driven, overly detailed with regards to common data ma- it. The development of various technologies to access, interact nagement tasks, while missing some important high-level with and manage data has led to rise of parallel communities functionality. The rationale underlying the LinkSmart Resour- often unaware of alternatives beyond their technology bounda- ce Platform is to define a generic, uniform interface for ries. Systems for object-relational mapping, NoSQL document or management, retrieval and processing of data while graph-based Linked Data storage usually exhibit complex, maintaining a technology and implementation agnostic facade. -
The Structure and Antioxidant Properties
materials Review Recent Developments in Effective Antioxidants: The Structure and Antioxidant Properties Monika Parcheta 1 , Renata Swisłocka´ 1,* , Sylwia Orzechowska 2,3 , Monika Akimowicz 4 , Renata Choi ´nska 4 and Włodzimierz Lewandowski 1 1 Department of Chemistry, Biology and Biotechnology, Bialystok University of Technology, Wiejska 45E, 15-351 Bialystok, Poland; [email protected] (M.P.); [email protected] (W.L.) 2 Solaris National Synchrotron Radiation Centre, Jagiellonian University, Czerwone Maki 98, 30-392 Krakow, Poland; [email protected] 3 M. Smoluchowski Institute of Physics, Jagiellonian University, Łojasiewicza 11, 30-348 Kraków, Poland 4 Prof. Waclaw Dabrowski Institute of Agriculture and Food Biotechnology–State Research Institute, Rakowiecka 36, 02-532 Warsaw, Poland; [email protected] (M.A.); [email protected] (R.C.) * Correspondence: [email protected] Abstract: Since the last few years, the growing interest in the use of natural and synthetic antioxidants as functional food ingredients and dietary supplements, is observed. The imbalance between the number of antioxidants and free radicals is the cause of oxidative damages of proteins, lipids, and DNA. The aim of the study was the review of recent developments in antioxidants. One of the crucial issues in food technology, medicine, and biotechnology is the excess free radicals reduction to obtain healthy food. The major problem is receiving more effective antioxidants. The study aimed to analyze the properties of efficient antioxidants and a better understanding of the molecular ´ Citation: Parcheta, M.; Swisłocka, R.; mechanism of antioxidant processes. Our researches and sparing literature data prove that the Orzechowska, S.; Akimowicz, M.; ligand antioxidant properties complexed by selected metals may significantly affect the free radical Choi´nska,R.; Lewandowski, W. -
Using Shape Expressions (Shex) to Share RDF Data Models and to Guide Curation with Rigorous Validation B Katherine Thornton1( ), Harold Solbrig2, Gregory S
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Repositorio Institucional de la Universidad de Oviedo Using Shape Expressions (ShEx) to Share RDF Data Models and to Guide Curation with Rigorous Validation B Katherine Thornton1( ), Harold Solbrig2, Gregory S. Stupp3, Jose Emilio Labra Gayo4, Daniel Mietchen5, Eric Prud’hommeaux6, and Andra Waagmeester7 1 Yale University, New Haven, CT, USA [email protected] 2 Johns Hopkins University, Baltimore, MD, USA [email protected] 3 The Scripps Research Institute, San Diego, CA, USA [email protected] 4 University of Oviedo, Oviedo, Spain [email protected] 5 Data Science Institute, University of Virginia, Charlottesville, VA, USA [email protected] 6 World Wide Web Consortium (W3C), MIT, Cambridge, MA, USA [email protected] 7 Micelio, Antwerpen, Belgium [email protected] Abstract. We discuss Shape Expressions (ShEx), a concise, formal, modeling and validation language for RDF structures. For instance, a Shape Expression could prescribe that subjects in a given RDF graph that fall into the shape “Paper” are expected to have a section called “Abstract”, and any ShEx implementation can confirm whether that is indeed the case for all such subjects within a given graph or subgraph. There are currently five actively maintained ShEx implementations. We discuss how we use the JavaScript, Scala and Python implementa- tions in RDF data validation workflows in distinct, applied contexts. We present examples of how ShEx can be used to model and validate data from two different sources, the domain-specific Fast Healthcare Interop- erability Resources (FHIR) and the domain-generic Wikidata knowledge base, which is the linked database built and maintained by the Wikimedia Foundation as a sister project to Wikipedia. -
Linked Data Vs Schema.Org: a Town Hall Debate About the Future of Information
Linked Data vs Schema.org: A Town Hall Debate about the Future of Information Schema.org Resources Schema.org Microdata Creation and Analysis Tools Schema.org Google Structured Data Testing Tool http://schema.org/docs/full.html http://www.google.com/webmasters/tools/richsnippets The entire hierarchy in one file. Microdata Parser Schema.org FAQ http://tools.seomoves.org/microdata http://schema.org/docs/faq.html This tool parses HTML5 microdata on a web page and displays the results in a graphical view. You can see the full details of each microdata type by clicking on it. Getting Started with Schema.org http://schema.org/docs/gs.html Drupal module Includes information about how to mark up your content http://drupal.org/project/schemaorg using microdata, using the schema.org vocabulary, and advanced topics. A drop-in solution to enable the collections of schemas available at schema.org on your Drupal 7 site. Micro Data & Schema.org: Guide To Generating Rich Snippets Wordpress plugins http://seogadget.com/micro-data-schema-org-guide-to- http://wordpress.org/extend/plugins/tags/schemaorg generating-rich-snippets A list of Wordpress plugins that allow you to easily insert A very comprehensive guide that includes an schema.org microdata on your site. introduction, a section on integrating microdata (use cases) schema.org, and a section on tools and useful Microdata generator resources. http://www.microdatagenerator.com A simple generator that allows you to input basic HTML5 Microdata and Schema.org information and have that info converted into the http://journal.code4lib.org/articles/6400 standard schema.org markup structure. -
EN125-Web.Pdf
ercim-news.ercim.eu Number 125 April 2021 ERCIM NEWS Special theme: Brain-inspired Computing Also in this issue Research and Innovation: Human-like AI JoinCt ONTENTS Editorial Information JOINT ERCIM ACTIONS ERCIM News is the magazine of ERCIM. Published quarterly, it reports 4 ERCIM-JST Joint Symposium on Big Data and on joint actions of the ERCIM partners, and aims to reflect the contribu - Artificial Intelligence tion made by ERCIM to the European Community in Information Technology and Applied Mathematics. Through short articles and news 5 ERCIM “Alain Bensoussan” Fellowship Programme items, it provides a forum for the exchange of information between the institutes and also with the wider scientific community. This issue has a circulation of about 6,000 printed copies and is also available online. SPECIAL THEME ERCIM News is published by ERCIM EEIG The special theme “Brain-inspired Computing” has been BP 93, F-06902 Sophia Antipolis Cedex, France coordinated by the guest editors Robert Haas (IBM +33 4 9238 5010, [email protected] Research Europe) and Michael Pfeiffer (Bosch Center for Director: Philipp Hoschka, ISSN 0926-4981 Artificial Intelligence) Contributions Introduction to the Special Theme Contributions should be submitted to the local editor of your country 6 Brain-inspired Computing by Robert Haas (IBM Research Europe) and Michael Copyrightnotice Pfeiffer (Bosch Center for Artificial Intelligence) All authors, as identified in each article, retain copyright of their work. ERCIM News is licensed under a Creative Commons Attribution -
Semantic Analytics Visualization
Wright State University CORE Scholar The Ohio Center of Excellence in Knowledge- Kno.e.sis Publications Enabled Computing (Kno.e.sis) 5-2006 Semantic Analytics Visualization Leonidas Deligiannidis Amit P. Sheth Wright State University - Main Campus, [email protected] Boanerges Aleman-Meza Follow this and additional works at: https://corescholar.libraries.wright.edu/knoesis Part of the Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, and the Science and Technology Studies Commons Repository Citation Deligiannidis, L., Sheth, A. P., & Aleman-Meza, B. (2006). Semantic Analytics Visualization. Lecture Notes in Computer Science, 3975, 48-59. https://corescholar.libraries.wright.edu/knoesis/718 This Conference Proceeding is brought to you for free and open access by the The Ohio Center of Excellence in Knowledge-Enabled Computing (Kno.e.sis) at CORE Scholar. It has been accepted for inclusion in Kno.e.sis Publications by an authorized administrator of CORE Scholar. For more information, please contact library- [email protected]. Semantic Analytics Visualization. (To Appear in) Intelligence and Security Informatics, Proceedings of ISI-2006, LNCS #3975 Semantic Analytics Visualization Leonidas Deligiannidis1,2, Amit P. Sheth2 and Boanerges Aleman-Meza2 1Virtual Reality Lab and 2LSDIS Lab, Computer Science, The University of Georgia, Athens, GA 30602, USA {ldeligia,amit,boanerg}@cs.uga.edu Abstract. In this paper we present a new tool for semantic analytics through 3D visualization called “Semantic Analytics Visualization” (SAV). It has the capability for visualizing ontologies and meta-data including annotated web- documents, images, and digital media such as audio and video clips in a syn- thetic three-dimensional semi-immersive environment. -
1 Geospatial and Temporal Semantic Analytics 1. Introduction
Geospatial and Temporal Semantic Analytics Matthew Perry, Amit Sheth, Ismailcem Budak Arpinar, Farshad Hakimpour Large Scale Distributed Information Systems Lab, The University of Georgia, Athens, GA 1. Introduction The amount of digital data available to researchers and knowledge workers has grown tremendously in recent years. This is especially true in the geography domain. As the amount of data grows, problems of data relevance and information overload become more severe. The use of semantics has been proposed to combat these problems (Berners-Lee et al., 2001; Egenhofer, 2002). Semantics refers to the meaning of data rather than its syntax or structure. Systems which can understand and process data at a semantic level can achieve a higher level of automation, integration, and interoperability. Applications using semantic technologies fall into three basic categories: 1) semantic integration, 2) semantic search and contextual browsing, and 3) semantic analytics and knowledge discovery (Sheth & Ramakrishnan, 2003). This article concentrates on semantic analytics and knowledge discovery. Applications in this category provide tools and techniques for analyzing entities and relationships in semantic metadata. So far, research in this area has mainly focused on the thematic dimension of information and has largely ignored its spatial and temporal dimensions. At the same time, the Geographic Information Systems community has yet to integrate thematic knowledge of entities and their relationships with geospatial knowledge for purposes of semantic analysis and discovery. Next generation geoinformatics applications that can successfully combine knowledge of real world entities and relationships with knowledge of their interactions in space and time will have huge potential in areas such as national security and emergency response. -
S41467-020-16549-2.Pdf
ARTICLE https://doi.org/10.1038/s41467-020-16549-2 OPEN Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN ✉ Maria Masid 1, Meric Ataman 2 & Vassily Hatzimanikatis 1 Altered metabolism is associated with many human diseases. Human genome-scale meta- bolic models (GEMs) were reconstructed within systems biology to study the biochemistry 1234567890():,; occurring in human cells. However, the complexity of these networks hinders a consistent and concise physiological representation. We present here redHUMAN, a workflow for reconstructing reduced models that focus on parts of the metabolism relevant to a specific physiology using the recently established methods redGEM and lumpGEM. The reductions include the thermodynamic properties of compounds and reactions guaranteeing the con- sistency of predictions with the bioenergetics of the cell. We introduce a method (redGEMX) to incorporate the pathways used by cells to adapt to the medium. We provide the ther- modynamic curation of the human GEMs Recon2 and Recon3D and we apply the redHUMAN workflow to derive leukemia-specific reduced models. The reduced models are powerful platforms for studying metabolic differences between phenotypes, such as diseased and healthy cells. 1 Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. 2 Computational and ✉ Systems Biology, Biozentrum, University of Basel, Basel, Switzerland. email: vassily.hatzimanikatis@epfl.ch NATURE COMMUNICATIONS | (2020)11:2821 | https://doi.org/10.1038/s41467-020-16549-2 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-16549-2 n altered metabolism is a hallmark of several human compartmentalized as Recon 2 with an additional compartment diseases, such as cancer, diabetes, obesity, Alzheimer’s, for the mitochondria intermembrane space.