Dbpedia - a Large-Scale, Multilingual Knowledge Base Extracted from Wikipedia
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A Macro-Micro Biological Tour of Wikidata Wikimania North America Preconference – Montreal - August 10, 2017
A Macro-Micro Biological Tour of Wikidata Wikimania North America Preconference – Montreal - August 10, 2017 Slide No. 1: Overview Thank you for joining me in this “Macro-Micro Biological Tour of Wikidata.” This tour will be a personal journey into the world of Wikidata to look at two extremes of living things – the Macro or Human scale, and the Micro or microbiological scale. I am most pleased to have as my traveling companion on this tour Dr. Yongqun He from the University of Michigan Medical Research Center. Yongqun goes by the name “Oliver” in the US, but currently he is in Beijing, keeping in touch by email and Skype. I will first describe how this adventure was conceived, and then describe what we have found, provide the conclusions we have reached, and offer some recommendations for the future. Slide No. 2: How We Got Here and Why (1) My adventure began before I had this beard, which I have been growing in order to look like a pirate in our local community theatre production of the Pirates of Penzance in September. In fact, my adventure began about two years ago when I made the following conjecture: There is an objective reality underlying human history, historical information is now in digital form, and current computer technology and emerging semantic web techniques should be able to analyze this information. By doing so, it may be possible to accurately describe the causal factors. It may not be possible to show true cause and effect relationships, but it should at least be able to disprove false narratives. -
A Collaborativeplatform for Multilingual Ontology
PhD Dissertation International Doctorate School in Information and Communication Technologies DIT - University of Trento A COLLABORATIVE PLATFORM FOR MULTILINGUAL ONTOLOGY DEVELOPMENT Ahmed Maher Ahmed Tawfik Moustafa Advisor: Professor. Fausto Giunchiglia Università degli Studi di Trento Abstract The world is extremely diverse and its diversity is obvious in the cultural differences and the large number of spoken languages being used all over the world. In this sense, we need to collect and organize a huge amount of knowledge obtained from multiple resources differing from one another in many aspects. A possible approach for doing that is to think of designing effective tools for construction and maintenance of linguistic resources and localized domain ontologies based on well-defined knowledge representation methodologies capable of dealing with diversity and the continuous evolvement of human knowledge. In this thesis, we present a collaborative platform which allows for knowledge organization in a language-independent manner and provides the appropriate mapping from a language independent concept to one specific lexicalization per language. This representation ensures a smooth multilingual enrichment process for linguistic resources and a robust construction of ontologies using language-independent concepts. The collaborative platform is designed following a workflow-based development methodology that models linguistic resources as a set of collaborative objects and assigns a customizable workflow to build and maintain each collaborative object in a community driven manner, with extensive support of modern web 2.0 social and collaborative features. Keywords Knowledge Representation, Multilingual Resources, Ontology Development, Computer Supported Collaborative Work 2 Acknowledgments I am particularly grateful for my supervisor, Professor. Fausto Giunchiglia, for the guidance and advices he has provided throughout my time as a PhD student. -
Factsheet En V
WIKIMANIA 2013 CONFIRMED IN HK! The Wikimedia Foundation, an international nonprofit organization behind the Wikipedia, the largest online encyclopedia, announced this morning (3-May-2012, HKT) that it will stage its 2013 Wikimania conference in Hong Kong. QUICK FACTS Date: 7-11 August 2013 Hosts: Wikimedia Foundation Wikimedia Hong Kong Co-Host: DotAsia Venue: HK Polytechnic University (PolyU) Planned attendance: 700-1,000 Main Hall: Jockey Club Auditorium Wikimania 2011 group photo. Credits: Itzik Edri [1] WIKIMANIA Hong Kong 2013 WHAT IS WIKIMANIA? Wikimania is an annual international conference for users of the wiki projects operated by the Wikimedia Foundation (such as Wikipedia, Wikimedia Commons and Wiktionary). Topics of Wikimania presentations and (black circled) with various discussions include Wikimedia Wikimedia Foundation Projects projects, other wikis, opensource software, free knowledge and free content, and the different social and technical aspects which relate to these topics. The 2012 conference was held in Washington DC, with an attendance of 1400. [2] WIKIMANIA Hong Kong 2013 PAST WIKIMANIAS A collage of different logos of previous Wikimania [3] WIKIMANIA Hong Kong 2013 INITIAL SCHEDULE Date Wed 7th Thu 8th Fri 9th Sat 10th Sun 11th Main Main Main Pre-conference Pre-conference Time conference day conference day conference day day 1 day 2 1 2 3 Opening Jimbo's Keynote Morning Keynote Speech ceremony Board Panel Developer and Chapters and board meetings board meetings Parallel Chinese Late morning and English Parallel sessions Parallel sessions sessions Lunch break Lunch Lunch break Lunch break VIP party Parallel sessions Developer and Chapters and Afternoon Parallel sessions Parallel sessions Closing board meetings board meetings ceremony Beach party and Evening Welcome party barbecue BIDDING PROCESS Hong Kong is chosen after a five-month official bidding process, during which competing potential host cities present their case to a Wikimania jury comprising Wikimedia Foundation staff and past Wikimania organizers. -
Knowledge Extraction by Internet Monitoring to Enhance Crisis Management
El Hamali Knowledge Extraction by Internet Monitoring to Enhance Crisis Management Knowledge Extraction by Internet Monitoring to Enhance Crisis Management El Hamali Samiha Nadia Nouali-TAboudjnent, Omar Nouali National School for Computer Science ESI, Research Center of Scientific and Technique Algiers, Algeria Information CERIST, Algeria [email protected] {nnouali, onouali}@cerist.dz ABSTRACT This paper presents our work on developing a system for Internet monitoring and knowledge extraction from different web documents which contain information about disasters. This system is based on ontology of the disasters domain for the knowledge extraction and it presents all the information extracted according to the kind of the disaster defined in the ontology. The system disseminates the information extracted (as a synthesis of the web documents) to the users after a filtering based on their profiles. The profile of a user is updated automatically by interactively taking into account his feedback. Keywords Crisis management, internet monitoring, knowledge extraction, ontology, information filtering. INTRODUCTION Several crises and disasters happened in the last decades. After the southern Asian tsunami, the Katrina hurricane in the United States, and the Kashmir earthquake, people throughout the world used the Web as a source of information and a means of communication. In the hours and days immediately following a disaster, a lot of information becomes available on the web. With a single Google search, 17 millions “emergency management” sites and documents have been listed (Min & Peishih, 2008). The user finds a lot of information which comes from different sources, for instance : during the first 3 days of tsunami disaster in south-east Asia, 4000 reports were gathered by the Google News service, and within a month of the incident, 200000 distinct news reports from several online sources (Yiming, et al., 2007 IEEE). -
Latent Semantic Network Induction in the Context of Linked Example Senses
Latent semantic network induction in the context of linked example senses Hunter Scott Heidenreich Jake Ryland Williams Department of Computer Science Department of Information Science College of Computing and Informatics College of Computing and Informatics [email protected] [email protected] Abstract of a network—much like the Princeton Word- Net (Miller, 1995; Fellbaum, 1998)—that is con- The Princeton WordNet is a powerful tool structed solely from the semi-structured data of for studying language and developing nat- ural language processing algorithms. With Wiktionary. This relies on the noisy annotations significant work developing it further, one of the editors of Wiktionary to naturally induce a line considers its extension through aligning network over the entirety of the English portion of its expert-annotated structure with other lex- Wiktionary. In doing so, the development of this ical resources. In contrast, this work ex- work produces: plores a completely data-driven approach to network construction, forming a wordnet us- • an induced network over Wiktionary, en- ing the entirety of the open-source, noisy, user- riched with semantically linked examples, annotated dictionary, Wiktionary. Compar- forming a directed acyclic graph (DAG); ing baselines to WordNet, we find compelling evidence that our network induction process • an exploration of the task of relationship dis- constructs a network with useful semantic structure. With thousands of semantically- ambiguation as a means to induce network linked examples that demonstrate sense usage construction; and from basic lemmas to multiword expressions (MWEs), we believe this work motivates fu- • an outline for directions of expansion, includ- ture research. ing increasing precision in disambiguation, cross-linking example usages, and aligning 1 Introduction English Wiktionary with other languages. -
Position Description Addenda
POSITION DESCRIPTION January 2014 Wikimedia Foundation Executive Director - Addenda The Wikimedia Foundation is a radically transparent organization, and much information can be found at www.wikimediafoundation.org . That said, certain information might be particularly useful to nominators and prospective candidates, including: Announcements pertaining to the Wikimedia Foundation Executive Director Search Kicking off the search for our next Executive Director by Former Wikimedia Foundation Board Chair Kat Walsh An announcement from Wikimedia Foundation ED Sue Gardner by Wikimedia Executive Director Sue Gardner Video Interviews on the Wikimedia Community and Foundation and Its History Some of the values and experiences of the Wikimedia Community are best described directly by those who have been intimately involved in the organization’s dramatic expansion. The following interviews are available for viewing though mOppenheim.TV . • 2013 Interview with Former Wikimedia Board Chair Kat Walsh • 2013 Interview with Wikimedia Executive Director Sue Gardner • 2009 Interview with Wikimedia Executive Director Sue Gardner Guiding Principles of the Wikimedia Foundation and the Wikimedia Community The following article by Sue Gardner, the current Executive Director of the Wikimedia Foundation, has received broad distribution and summarizes some of the core cultural values shared by Wikimedia’s staff, board and community. Topics covered include: • Freedom and open source • Serving every human being • Transparency • Accountability • Stewardship • Shared power • Internationalism • Free speech • Independence More information can be found at: https://meta.wikimedia.org/wiki/User:Sue_Gardner/Wikimedia_Foundation_Guiding_Principles Wikimedia Policies The Wikimedia Foundation has an extensive list of policies and procedures available online at: http://wikimediafoundation.org/wiki/Policies Wikimedia Projects All major projects of the Wikimedia Foundation are collaboratively developed by users around the world using the MediaWiki software. -
Injection of Automatically Selected Dbpedia Subjects in Electronic
Injection of Automatically Selected DBpedia Subjects in Electronic Medical Records to boost Hospitalization Prediction Raphaël Gazzotti, Catherine Faron Zucker, Fabien Gandon, Virginie Lacroix-Hugues, David Darmon To cite this version: Raphaël Gazzotti, Catherine Faron Zucker, Fabien Gandon, Virginie Lacroix-Hugues, David Darmon. Injection of Automatically Selected DBpedia Subjects in Electronic Medical Records to boost Hos- pitalization Prediction. SAC 2020 - 35th ACM/SIGAPP Symposium On Applied Computing, Mar 2020, Brno, Czech Republic. 10.1145/3341105.3373932. hal-02389918 HAL Id: hal-02389918 https://hal.archives-ouvertes.fr/hal-02389918 Submitted on 16 Dec 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Injection of Automatically Selected DBpedia Subjects in Electronic Medical Records to boost Hospitalization Prediction Raphaël Gazzotti Catherine Faron-Zucker Fabien Gandon Université Côte d’Azur, Inria, CNRS, Université Côte d’Azur, Inria, CNRS, Inria, Université Côte d’Azur, CNRS, I3S, Sophia-Antipolis, France I3S, Sophia-Antipolis, France -
Wikimedia Conferentie Nederland 2012 Conferentieboek
http://www.wikimediaconferentie.nl WCN 2012 Conferentieboek CC-BY-SA 9:30–9:40 Opening 9:45–10:30 Lydia Pintscher: Introduction to Wikidata — the next big thing for Wikipedia and the world Wikipedia in het onderwijs Technische kant van wiki’s Wiki-gemeenschappen 10:45–11:30 Jos Punie Ralf Lämmel Sarah Morassi & Ziko van Dijk Het gebruik van Wikimedia Commons en Wikibooks in Community and ontology support for the Wikimedia Nederland, wat is dat precies? interactieve onderwijsvormen voor het secundaire onderwijs 101wiki 11:45–12:30 Tim Ruijters Sandra Fauconnier Een passie voor leren, de Nederlandse wikiversiteit Projecten van Wikimedia Nederland in 2012 en verder Bliksemsessie …+discussie …+vragensessie Lunch 13:15–14:15 Jimmy Wales 14:30–14:50 Wim Muskee Amit Bronner Lotte Belice Baltussen Wikipedia in Edurep Bridging the Gap of Multilingual Diversity Open Cultuur Data: Een bottom-up initiatief vanuit de erfgoedsector 14:55–15:15 Teun Lucassen Gerard Kuys Finne Boonen Scholieren op Wikipedia Onderwerpen vinden met DBpedia Blijf je of ga je weg? 15:30–15:50 Laura van Broekhoven & Jan Auke Brink Jeroen De Dauw Jan-Bart de Vreede 15:55–16:15 Wetenschappelijke stagiairs vertalen onderzoek naar Structured Data in MediaWiki Wikiwijs in vergelijking tot Wikiversity en Wikibooks Wikipedia–lemma 16:20–17:15 Prijsuitreiking van Wiki Loves Monuments Nederland 17:20–17:30 Afsluiting 17:30–18:30 Borrel Inhoudsopgave Organisatie 2 Voorwoord 3 09:45{10:30: Lydia Pintscher 4 13:15{14:15: Jimmy Wales 4 Wikipedia in het onderwijs 5 11:00{11:45: Jos Punie -
A Topic-Aligned Multilingual Corpus of Wikipedia Articles for Studying Information Asymmetry in Low Resource Languages
Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pages 2373–2380 Marseille, 11–16 May 2020 c European Language Resources Association (ELRA), licensed under CC-BY-NC A Topic-Aligned Multilingual Corpus of Wikipedia Articles for Studying Information Asymmetry in Low Resource Languages Dwaipayan Roy, Sumit Bhatia, Prateek Jain GESIS - Cologne, IBM Research - Delhi, IIIT - Delhi [email protected], [email protected], [email protected] Abstract Wikipedia is the largest web-based open encyclopedia covering more than three hundred languages. However, different language editions of Wikipedia differ significantly in terms of their information coverage. We present a systematic comparison of information coverage in English Wikipedia (most exhaustive) and Wikipedias in eight other widely spoken languages (Arabic, German, Hindi, Korean, Portuguese, Russian, Spanish and Turkish). We analyze the content present in the respective Wikipedias in terms of the coverage of topics as well as the depth of coverage of topics included in these Wikipedias. Our analysis quantifies and provides useful insights about the information gap that exists between different language editions of Wikipedia and offers a roadmap for the Information Retrieval (IR) community to bridge this gap. Keywords: Wikipedia, Knowledge base, Information gap 1. Introduction other with respect to the coverage of topics as well as Wikipedia is the largest web-based encyclopedia covering the amount of information about overlapping topics. -
Ontologies and Semantic Web for the Internet of Things - a Survey
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/312113565 Ontologies and Semantic Web for the Internet of Things - a survey Conference Paper · October 2016 DOI: 10.1109/IECON.2016.7793744 CITATIONS READS 5 256 2 authors: Ioan Szilagyi Patrice Wira Université de Haute-Alsace Université de Haute-Alsace 10 PUBLICATIONS 17 CITATIONS 122 PUBLICATIONS 679 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: Physics of Solar Cells and Systems View project Artificial intelligence for renewable power generation and management: Application to wind and photovoltaic systems View project All content following this page was uploaded by Patrice Wira on 08 January 2018. The user has requested enhancement of the downloaded file. Ontologies and Semantic Web for the Internet of Things – A Survey Ioan Szilagyi, Patrice Wira MIPS Laboratory, University of Haute-Alsace, Mulhouse, France {ioan.szilagyi; patrice.wira}@uha.fr Abstract—The reality of Internet of Things (IoT), with its one of the most important task in an IoT system [6]. Providing growing number of devices and their diversity is challenging interoperability among the things is “one of the most current approaches and technologies for a smarter integration of fundamental requirements to support object addressing, their data, applications and services. While the Web is seen as a tracking and discovery as well as information representation, convenient platform for integrating things, the Semantic Web can storage, and exchange” [4]. further improve its capacity to understand things’ data and facilitate their interoperability. In this paper we present an There is consensus that Semantic Technologies is the overview of some of the Semantic Web technologies used in IoT appropriate tool to address the diversity of Things [4], [7]–[9]. -
Wikibase Knowledge Graphs for Data Management & Data Science
Business and Economics Research Data Center https://www.berd-bw.de Baden-Württemberg Wikibase knowledge graphs for data management & data science Dr. Renat Shigapov 23.06.2021 @shigapov @_shigapov DATA Motivation MANAGEMENT 1. people DATA SCIENCE knowledg! 2. processes information linking 3. technology data things KNOWLEDGE GRAPHS 2 DATA Flow MANAGEMENT Definitions DATA Wikidata & Tools SCIENCE Local Wikibase Wikibase Ecosystem Summary KNOWLEDGE GRAPHS 29.10.2012 2030 2021 3 DATA Example: Named Entity Linking SCIENCE https://commons.wikimedia.org/wiki/File:Entity_Linking_-_Short_Example.png Rule#$as!d problems Machine Learning De!' Learning Learn data science at https://www.kaggle.com 4 https://commons.wikimedia.org/wiki/File:Data_visualization_process_v1.png DATA Example: general MANAGEMENT research data silos data fabric data mesh data space data marketplace data lake data swamp Research data lifecycle https://www.reading.ac.uk/research-services/research-data-management/ 5 https://www.dama.org/cpages/body-of-knowledge about-research-data-management/the-research-data-lifecycle KNOWLEDGE ONTOLOG( + GRAPH = + THINGS https://www.mediawiki.org https://www.wikiba.se ✔ “Things, not strings” by Google, 2012 + ✔ A knowledge graph links things in different datasets https://mariadb.org https://blazegraph.com ✔ A knowledge graph can link people & relational database graph database processes and enhance technologies The main example: “THE KNOWLEDGE GRAPH COOKBOOK RECIPES THAT WORK” by ANDREAS BLUMAUER & HELMUT NAGY, 2020. https://www.wikidata.org -
Handling Semantic Complexity of Big Data Using Machine Learning and RDF Ontology Model
S S symmetry Article Handling Semantic Complexity of Big Data using Machine Learning and RDF Ontology Model Rauf Sajjad *, Imran Sarwar Bajwa and Rafaqut Kazmi Department of Computer Science & IT, The Islamia University Bahawalpur, Bahawalpur 63100, Pakistan; [email protected] (I.S.B.); [email protected] (R.K.) * Correspondence: [email protected]; Tel.: +92-62-925-5466 Received: 3 January 2019; Accepted: 14 February 2019; Published: 1 March 2019 Abstract: Business information required for applications and business processes is extracted using systems like business rule engines. Since the advent of Big Data, such rule engines are producing rules in a big quantity whereas more rules lead to more complexity in semantic analysis and understanding. This paper introduces a method to handle semantic complexity in rules and support automated generation of Resource Description Framework (RDF) metadata model of rules and such model is used to assist in querying and analysing Big Data. Practically, the dynamic changes in rules can be a source of conflict in rules stored in a repository. It is identified during the literature review that there is a need of a method that can semantically analyse rules and help business analysts in testing and validating the rules once a change is made in a rule. This paper presents a robust method that not only supports semantic analysis of rules but also generates RDF metadata model of rules and provide support of querying for the sake of semantic interpretation of the rules. The results of the experiments manifest that consistency checking of a set of big data rules is possible through automated tools.