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D3.3 Initial Technical & Logical Architecture and Future Work
D3.3 Initial Technical & Logical Architecture and future work recommendations ECP 2008 DILI 558001 Europeana v1.0 D3.3 Initial Technical & Logical Architecture and future work recommendations Deliverable number D3.3 Dissemination level Public Delivery date 30 July 2010 Status Final Makx Dekkers, Stefan Gradmann, Jan Author(s) Molendijk eContentplus This project is funded under the eContentplus programme1, a multiannual Community programme to make digital content in Europe more accessible, usable and exploitable. 1 OJ L 79, 24.3.2005, p. 1. 1/14 D3.3 Initial Technical & Logical Architecture and future work recommendations 1. Introduction This deliverable has two tasks: To characterise the technical and logical architecture of Europeana as a system in its 1.0 state (that is to say by the time of the ‘Rhine’ release To outline the future work recommendations that can reasonably be made at that moment. This also provides a straightforward and logical structure to the document: characterisation comes first followed by the recommendations for future work. 2. Technical and Logical Architecture From a high-level architectural point of view, Europeana.eu is best characterized as a search engine and a database. It loads metadata delivered by providers and aggregators into a database, and uses that database to allow users to search for cultural heritage objects, and to find links to those objects. Various methods of searching and browsing the objects are offered, including a simple and an advanced search form, a timeline, and an openSearch API. It is also important to describe what Europeana.eu does not do, even though people sometimes expect it to. -
A Knowledge Discovery Approach
Semantic XML Tagging of Domain-Specific Text Archives: A Knowledge Discovery Approach Dissertation zur Erlangung des akademisches Grades Doktoringenieur (Dr.-Ing.) angenommen durch die Fakult¨at fur¨ Informatik der Otto-von-Guericke-Universit¨at Magdeburg von Diplom-Kaufmann Peter Karsten Winkler, geboren am 1. Oktober 1971 in Berlin Gutachterinnen und Gutachter: Prof. Dr. Myra Spiliopoulou Prof. Dr. Gunter Saake Prof. Dr. Stefan Conrad Ort und Datum des Promotionskolloquiums: Magdeburg, 22. Januar 2009 Karsten Winkler. Semantic XML Tagging of Domain-Specific Text Archives: A Knowl- edge Discovery Approach. Dissertation, Faculty of Computer Science, Otto von Guericke University Magdeburg, Magdeburg, Germany, January 2009. Contents List of Figures v List of Tables vii List of Algorithms xi Abstract xiii Zusammenfassung xv Acknowledgments xvii 1 Introduction 1 1.1 TheAbundanceofText ............................ 1 1.2 Defining Semantic XML Markup . 3 1.3 BenefitsofSemanticXMLMarkup . 9 1.4 ResearchQuestions ............................... 12 1.5 ResearchMethodology ............................. 14 1.6 Outline...................................... 16 2 Literature Review 19 2.1 Storage, Retrieval, and Analysis of Textual Data . ....... 19 2.1.1 Knowledge Discovery in Textual Databases . 19 2.1.2 Information Storage and Retrieval . 23 2.1.3 InformationExtraction. 25 2.2 Discovering Concepts in Textual Data . 26 2.2.1 Topic Discovery in Text Documents . 27 2.2.2 Extracting Relational Tuples from Text . 31 2.2.3 Learning Taxonomies, Thesauri, and Ontologies . 35 2.3 Semantic Annotation of Text Documents . 39 2.3.1 Manual Semantic Text Annotation . 40 2.3.2 Semi-Automated Semantic Text Annotation . 43 2.3.3 Automated Semantic Text Annotation . 47 2.4 Schema Discovery in Marked-Up Text Documents . -
Bibliography [Abiteboul and Kanellakis, 1989] Serge Abiteboul and Paris Kanellakis
507 Bibliography [Abiteboul and Kanellakis, 1989] Serge Abiteboul and Paris Kanellakis. Object identity as a query language primitive. In Proc. of the ACM SIGMOD Int. Conf. on Management of Data, pages 159–173, 1989. [Abiteboul et al., 1995] Serge Abiteboul, Richard Hull, and Victor Vianu. Foundations of Databases. Addison Wesley Publ. Co., Reading, Massachussetts, 1995. [Abiteboul et al., 1997] Serge Abiteboul, Dallan Quass, Jason McHugh, Jennifer Widom, and Janet L. Wiener. The Lorel query language for semistructured data. Int. J. on Digital Libraries, 1(1):68–88, 1997. [Abiteboul et al., 2000] Serge Abiteboul, Peter Buneman, and Dan Suciu. Data on the Web: from Relations to Semistructured Data and XML. Morgan Kaufmann, Los Altos, 2000. [Abiteboul, 1997] Serge Abiteboul. Querying semi-structured data. In Proc. of the 6th Int. Conf. on Database Theory (ICDT’97), pages 1–18, 1997. [Abrahams et al., 1996] Merryll K. Abrahams, Deborah L. McGuinness, Rich Thomason, Lori Alperin Resnick, Peter F. Patel-Schneider, Violetta Cavalli-Sforza, and Cristina Conati. NeoClassic tutorial: Version 1.0. Technical report, Artificial Intelligence Prin- ciples Research Department, AT&T Labs Research and University of Pittsburgh, 1996. Available as http://www.bell-labs.com/project/classic/papers/NeoTut/NeoTut. html. [Abrett and Burstein, 1987] Glen Abrett and Mark H. Burstein. The KREME knowledge editing environment. Int. J. of Man-Machine Studies, 27(2):103–126, 1987. [Abrial, 1974] J. R. Abrial. Data semantics. In J. W. Klimbie and K. L. Koffeman, editors, Data Base Management, pages 1–59. North-Holland Publ. Co., Amsterdam, 1974. [Achilles et al., 1991] E. Achilles, B. -
Ontology-Based Methods for Analyzing Life Science Data
Habilitation a` Diriger des Recherches pr´esent´ee par Olivier Dameron Ontology-based methods for analyzing life science data Soutenue publiquement le 11 janvier 2016 devant le jury compos´ede Anita Burgun Professeur, Universit´eRen´eDescartes Paris Examinatrice Marie-Dominique Devignes Charg´eede recherches CNRS, LORIA Nancy Examinatrice Michel Dumontier Associate professor, Stanford University USA Rapporteur Christine Froidevaux Professeur, Universit´eParis Sud Rapporteure Fabien Gandon Directeur de recherches, Inria Sophia-Antipolis Rapporteur Anne Siegel Directrice de recherches CNRS, IRISA Rennes Examinatrice Alexandre Termier Professeur, Universit´ede Rennes 1 Examinateur 2 Contents 1 Introduction 9 1.1 Context ......................................... 10 1.2 Challenges . 11 1.3 Summary of the contributions . 14 1.4 Organization of the manuscript . 18 2 Reasoning based on hierarchies 21 2.1 Principle......................................... 21 2.1.1 RDF for describing data . 21 2.1.2 RDFS for describing types . 24 2.1.3 RDFS entailments . 26 2.1.4 Typical uses of RDFS entailments in life science . 26 2.1.5 Synthesis . 30 2.2 Case study: integrating diseases and pathways . 31 2.2.1 Context . 31 2.2.2 Objective . 32 2.2.3 Linking pathways and diseases using GO, KO and SNOMED-CT . 32 2.2.4 Querying associated diseases and pathways . 33 2.3 Methodology: Web services composition . 39 2.3.1 Context . 39 2.3.2 Objective . 40 2.3.3 Semantic compatibility of services parameters . 40 2.3.4 Algorithm for pairing services parameters . 40 2.4 Application: ontology-based query expansion with GO2PUB . 43 2.4.1 Context . 43 2.4.2 Objective . -
Description Logics
Description Logics Franz Baader1, Ian Horrocks2, and Ulrike Sattler2 1 Institut f¨urTheoretische Informatik, TU Dresden, Germany [email protected] 2 Department of Computer Science, University of Manchester, UK {horrocks,sattler}@cs.man.ac.uk Summary. In this chapter, we explain what description logics are and why they make good ontology languages. In particular, we introduce the description logic SHIQ, which has formed the basis of several well-known ontology languages, in- cluding OWL. We argue that, without the last decade of basic research in description logics, this family of knowledge representation languages could not have played such an important rˆolein this context. Description logic reasoning can be used both during the design phase, in order to improve the quality of ontologies, and in the deployment phase, in order to exploit the rich structure of ontologies and ontology based information. We discuss the extensions to SHIQ that are required for languages such as OWL and, finally, we sketch how novel reasoning services can support building DL knowledge bases. 1 Introduction The aim of this section is to give a brief introduction to description logics, and to argue why they are well-suited as ontology languages. In the remainder of the chapter we will put some flesh on this skeleton by providing more technical details with respect to the theory of description logics, and their relationship to state of the art ontology languages. More detail on these and other matters related to description logics can be found in [6]. Ontologies There have been many attempts to define what constitutes an ontology, per- haps the best known (at least amongst computer scientists) being due to Gruber: “an ontology is an explicit specification of a conceptualisation” [47].3 In this context, a conceptualisation means an abstract model of some aspect of the world, taking the form of a definition of the properties of important 3 This was later elaborated to “a formal specification of a shared conceptualisation” [21]. -
Will the Semantic Web Scale?
Panel Discussion P3: Will the Semantic Web scale? New York Sheraton May 19th, 2004 Proposers: Panelists: Organizers: - Raphael Volz - Dr. Cathy Marshall - Raphael Volz - Carole Goble - Prof. Dr. Alon Y. Halevy - Daniel Oberle - Rudi Studer - Prof. Dr. Jürgen Angele - Prof. Dr. Ian Horrocks Panelist 1 Dr. Cathy Marshall Microsoft Corporation Texas A+M University Why the Semantic Web won’t scale the scaled semantic web seen as mass-market product “the Flowbee uses the suction power of your household vacuum to draw the hair up to the desired length, and then gives it a perfect cut.....every time.” Three important questions: • Will it really work? • Who needs it? • Is it safe? 3 will it work? evaluating the semantic web as metadata • compare the semantic web to a widely adopted metadata scheme like the MARC record used for library cataloging – MARC practitioners are members of a community and are trained to create metadata – MARC reduces interpretive load by careful choice of attributes, authority lists, & cataloging rules (AACR, e.g.) to constrain values – MARC records are controlled for interoperability and consistency in various ways (e.g. by clearinghouses like OCLC) – so... on-line catalog (OPAC) users know what to expect 4 will it work? evaluating the semantic web as metadata • by contrast, the semantic web is subject to the following pitfalls as it scales: – social structures for creating universal semantic web metadata are missing (local culture/practices/needs prevail) – semantic web metadata requires substantial interpretation of domain knowledge; underlying assumptions about use are highly situated – no way of ensuring interoperability, consistency, accuracy • e.g. -
Electrodeposition of Highly Ordered Macroporous Iridium Oxide Through Self- Assembled Colloidal Templates
Electrodeposition of highly ordered macroporous iridium oxide through self- assembled colloidal templates Jin Hu,a Mamdouh Abdelsalam,a Philip Bartlett,a Robin Cole,b Yoshihiro Sugawara,b Jeremy Baumberg,b Sumeet Mahajana,b and Guy Denuaulta aSchool of Chemistry, University of Southampton, Southampton UK SO17 1BJ. E- mail: [email protected] bNanoPhotonics Centre, Department of Physics, University of Cambridge, Cambridge CB3 0HE Please cite this paper as: Journal of Materials Chemistry, 2009, 19, 3855-3858 The publisher’s version of this paper is available here: http://dx.doi.org/10.1039/B900279K Related articles by Dr Guy Denuault can be found below: S.A.G. Evans, J.M. Elliott, L.M. Andrews, P.N. Bartlett, P.J. Doyle, G. Denuault, Detection of hydrogen peroxide at mesoporous platinum microelectrodes, Anal. Chem., 74 (2002) 1322-1326. (doi: 10.1021/ac011052p) T. Imokawa, K.-J. Williams, G. Denuault, Fabrication and Characterization of Nanostructured Pd Hydride pH Microelectrodes, Anal. Chem., 78 (2006) 265-271. (doi: 10.1021/ac051328j) CREATED USING THE RSC ARTICLE TEMPLATE (VER. 3.1) - SEE WWW.RSC.ORG/ELECTRONICFILES FOR DETAILS ARTICLE TYPE www.rsc.org/xxxxxx | XXXXXXXX Electrodeposition of highly ordered macroporous iridium oxide through self-assembled colloidal templates Jin Hu,a Mamdouh Abdelsalam,a Philip Bartlett,a Robin Cole,b Yoshihiro Sugawara,b Jeremy Baumberg,b Sumeet Mahajanb and Guy Denuault*a 5 Received (in XXX, XXX) Xth XXXXXXXXX 200X, Accepted Xth XXXXXXXXX 200X First published on the web Xth XXXXXXXXX 200X DOI: 10.1039/b000000x Iridium oxide electrodeposited through a self-assembled colloidal template has an inverse opal structure. -
Nano and Giga [Front]
NANO & GIGA CHALLENGES 2007 12-16 MARCH TEMPE, AZ ARIZONA STATE UNIVERSITY NANO & GIGA CHALLENGES 2007 will provide a forum for academics, students, industrial researches, investors and business development professionals from around the world to discuss cutting-edge nanotechnology as it relates to advanced silicon based micro- and optoelectronics. CMOS technology has sustained exponential progress (Moore's Law) for four decades. However, scientists and engineers agree that this progress will run into what is called the red brick wall of technical and economic limitations some time during the next decade. The use of nanotechnology is vital to the development of future electronics and photonics. DON’T MISS YOUR CHANCE TO BE PART OF THIS UNIQUE INTERNATIONAL FORUM. 31nm ADDITIONAL INFO >> VISIT www.AtomicScaleDesign.Net/ngc2007 eMAIL [email protected] << SELECTED SPEAKERS >> NICOLAAS BLOEMBERGEN > Professor, University of Arizona, Nobel Laureate, Physics, 1981 JOHN POLYANI > Professor, University of Toronto, Nobel Laureate, Chemistry, 1986 HIROSHI IWAI > Professor, Tokyo Institute of Technology MARK REED > Distinguished Professor, Yale University JEREMY BAUMBERG > Professor, University of Southampton OTTO SANKEY > Professor, Arizona State University ROBERT CHAU > Director, Transistor Research and Nanotechnology, Intel YOSHIRO HIRAYAMA > Executive manager, NTT Basic Research Laboratories KERYN LIAN > Senior Fellow, Motorola Labs STANLEY WILLIAMS > Director, Quantum Science Research, HP Labs NIKOLAI ZHITENEV > Senior Research Fellow, -
Dr. SHAHAB AHMAD
Dr. SHAHAB AHMAD Assistant Professor Centre for Nanoscience and Nanotechnology, Jamia Millia Islamia (Central University), New Delhi-110 025, India. Email: [email protected] [email protected] ACADEMICS Ph.D. Physics (July 2010-2014): Department of Physics, Indian Institute of Technology Delhi, New Delhi-India (www.iitd.ac.in) M.Tech. (Nanotechnology) (2008-2010): Department of Applied Physics, Aligarh Muslim University, Aligarh, UP, India (www.amu.ac.in) M.Sc. (Physics) (2006-2008): Department of Physics, Aligarh Muslim University, India (www.amu.ac.in) EXPERIENCE (After PhD Thesis Submission) Assistant Professor (30th June 2017- Till present, Permanent) Centre for Nanoscience and Nanotechnology, Jamia Millia Islamia (Central University), New Delhi, India. (https://www.jmi.ac.in/cnn) Research Associate (3rd Nov 2014- 30th June 2017) ~ 2 years and 8 months Research Area: Energy Storage and Optoelectronic Devices Supervisor: Dr. Michael De Volder, NanoManufacturing Lab, Institute for Manufacturing, Department of Engineering, University of Cambridge, UK. (www.nanomanufacturing.eng.cam.ac.uk) Project Associate (19th Aug 2014-2nd Nov 2014) ~ 2.5 months Supervisor: Prof. G. Vijaya Prakash, Nanophotonics Lab, Department of Physics, Indian Institute of Technology Delhi, New Delhi-India. (www.iitd.ac.in) Visiting Scientist (18th May 2014-17th Aug 2014) ~ 3 months Host: Prof. Jeremy J. Baumberg (FRS), Nanophotonics Centre, Cavendish Laboratory, Department of Physics, University of Cambridge, UK. (http://www.np.phy.cam.ac.uk/) AWARDS AND ACHEIVEMENTS 1. Distinction in Doctoral Research Award from Indian Institute of Technology - Delhi (April 2016). 2. Best Oral Presentation Award, “International Winter School in Frontiers of Materials Science - 2018”, JNCASR, Bangalore, India (3-7 Dec 2018). -
Table of Contents
Table of Contents Schedule-at-a-Glance . 2 FiO + LS Chairs’ Welcome Letters . 3 General Information . 5 Conference Materials Access to Technical Digest Papers . 7 FiO + LS Conference App . 7 Plenary Session/Visionary Speakers . 8 Science & Industry Showcase Theater Programming . 12 Networking Area Programming . 12 Participating Companies . 14 OSA Member Zone . 15 Special Events . 16 Awards, Honors and Special Recognitions FiO + LS Awards Ceremony & Reception . 19 OSA Awards and Honors . 19 2019 APS/Division of Laser Science Awards and Honors . 21 2019 OSA Foundation Fellowship, Scholarships and Special Recognitions . 21 2019 OSA Awards and Medals . 22 OSA Foundation FiO Grants, Prizes and Scholarships . 23 OSA Senior Members . 24 FiO + LS Committees . 27 Explanation of Session Codes . 28 FiO + LS Agenda of Sessions . 29 FiO + LS Abstracts . 34 Key to Authors and Presiders . 94 Program updates and changes may be found on the Conference Program Update Sheet distributed in the attendee registration bags, and check the Conference App for regular updates . OSA and APS/DLS thank the following sponsors for their generous support of this meeting: FiO + LS 2019 • 15–19 September 2019 1 Conference Schedule-at-a-Glance Note: Dates and times are subject to change. Check the conference app for regular updates. All times reflect EDT. Sunday Monday Tuesday Wednesday Thursday 15 September 16 September 17 September 18 September 19 September GENERAL Registration 07:00–17:00 07:00–17:00 07:30–18:00 07:30–17:30 07:30–11:00 Coffee Breaks 10:00–10:30 10:00–10:30 10:00–10:30 10:00–10:30 10:00–10:30 15:30–16:00 15:30–16:00 13:30–14:00 13:30–14:00 PROGRAMMING Technical Sessions 08:00–18:00 08:00–18:00 08:00–10:00 08:00–10:00 08:00–12:30 15:30–17:00 15:30–18:30 Visionary Speakers 09:15–10:00 09:15–10:00 09:15–10:00 09:15–10:00 LS Symposium on Undergraduate 12:00–18:00 Research Postdeadline Paper Sessions 17:15–18:15 SCIENCE & INDUSTRY SHOWCASE Science & Industry Showcase 10:00–15:30 10:00–15:30 See page 12 for complete schedule of programs . -
Hps.Cam.Ac.Uk
CONTENTS The Department .......................................................................................................................................... 2 Introduction ................................................................................................................................... 2 Congratulations .............................................................................................................................. 4 Garden Party in Memory of Mary Hesse ................................................................................... 5 Staff and Visitors ........................................................................................................................... 7 Students .......................................................................................................................................... 9 Comings and Goings .................................................................................................................. 12 Roles and Responsibilities .......................................................................................................... 13 Prizes, Projects and Honours .................................................................................................... 15 Student Prizes .............................................................................................................................. 16 Students ..................................................................................................................................................... -
Darwin Skeptics a Select List of Science Academics, Scientists, and Scholars Who Are Skeptical of Darwinism
7/23/2016 Darwin Skeptics A Select List of Science Academics, Scientists, and Scholars Who are Skeptical of Darwinism Compiled by Jerry Bergman PhD. It is commonly claimed that no scientist rejects macroevolution or Darwinism (by which is meant evolutionary naturalism, or the view that variation caused by mutations plus natural selection accounts for all life forms). For example, Dr. Steve Jones, Professor of Genetics at University College of London, wrote that “no scientist denies the central truth of The Origin, the idea of descent with modification... plants, animals and everything else descended from a common ancestor” (Jones, 2000, pp. xvii, xxiii). Other writers avoid the words “all” or “no scientist” and claim instead that “almost no scientist” rejects Darwinism as defined above. In an article refuting “wiccan creationism,” the author claimed that evolutionary theory has been confirmed to such a high degree and has such great explanatory power that it is the central organizing principle of the biological sciences today. Modern biology is basically unthinkable outside of the context of evolution and that is why it is accepted without reservations by pretty much every working scientists [sic] in the life sciences. It also isn’t really questioned in the other natural sciences, either, like physics or chemistry. The author then makes the following absolutist statement: Evolution is taken as a fact—and while there might be disagreements about some of the details of how evolution proceeds, there are no disagreements about the idea that it does occur and that it is the explanation for the diversity of life on our planet.