Lora Aroyo | |
---|---|
Born | |
Alma mater | University of Twente |
Known for | CrowdTruth [1] |
Awards |
|
Scientific career | |
Fields | |
Institutions | VU Amsterdam |
Doctoral advisor |
|
Lora Aroyo (born in Bulgaria) is a Dutch computer scientist at Google Research, and formerly a professor at The Vrije Universiteit Amsterdam, Netherlands. [2] She is best known for her work in user modeling, digital humanities, and for the CrowdTruth crowdsourcing method. [3] She was the founding head of the user-centric data science (UCDS) research group in the VU Computer Science department, [4] president of the User Modeling Society, [5] a former vice-president of Semantic Technology Institute, [6] Chief Scientist at Tagasauris, and a member of over 100 scientific program committees and editorial boards. She was one of the few female full professors of Computer Science in the Netherlands, and her departure to Google leaves only one woman (out of over 20 full professors) at the VU. [7]
After leaving Bulgaria during the aftermath of the fall of communism, Aroyo obtained a PhD in Educational Science and Technology from University of Twente. She worked with Paul De Bra at Eindhoven University of Technology in the area of intelligent tutoring systems, focusing primarily on understanding and modeling the different needs of users to make the experience more productive. [8]
Aroyo moved to the VU University in 2006 and began her seminal work in cultural heritage, later called digital humanities. [9] With colleagues Guus Schreiber and others, she is credited with pioneering niche-sourcing. [10]
In 2013, Aroyo spent her sabbatical working with the IBM Watson team, just after the famous Jeopardy! match, where she developed the Crowd Truth methodology with Chris Welty. [11]
In 2018, she was listed among the top women semantic web researchers without a Wikipedia page.She was later nominated to have this page authored during the Ada Lovelace women in computing hackathon. [12]
Augusta Ada King, Countess of Lovelace, also known as Ada Lovelace, was an English mathematician and writer chiefly known for her work on Charles Babbage's proposed mechanical general-purpose computer, the Analytical Engine. She was the first to recognise that the machine had applications beyond pure calculation.
The Lovelace Medal was established by BCS, The Chartered Institute for IT in 1998, and is presented to individuals who have made outstanding contributions to the understanding or advancement of computing. It is the top award in computing in the UK. Awardees deliver the Lovelace Lecture.
Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning or semantic content as opposed to lexicographical similarity. These are mathematical tools used to estimate the strength of the semantic relationship between units of language, concepts or instances, through a numerical description obtained according to the comparison of information supporting their meaning or describing their nature. The term semantic similarity is often confused with semantic relatedness. Semantic relatedness includes any relation between two terms, while semantic similarity only includes "is a" relations. For example, "car" is similar to "bus", but is also related to "road" and "driving".
Women in computing were among the first programmers in the early 20th century, and contributed substantially to the industry. As technology and practices altered, the role of women as programmers has changed, and the recorded history of the field has downplayed their achievements. Since the 18th century, women have developed scientific computations, including Nicole-Reine Lepaute's prediction of Halley's Comet, and Maria Mitchell's computation of the motion of Venus.
Crowdsourcing involves a large group of dispersed participants contributing or producing goods or services—including ideas, votes, micro-tasks, and finances—for payment or as volunteers. Contemporary crowdsourcing often involves digital platforms to attract and divide work between participants to achieve a cumulative result. Crowdsourcing is not limited to online activity, however, and there are various historical examples of crowdsourcing. The word crowdsourcing is a portmanteau of "crowd" and "outsourcing". In contrast to outsourcing, crowdsourcing usually involves less specific and more public groups of participants.
Dame Wendy Hall is a British computer scientist. She is Regius Professor of Computer Science at the University of Southampton.
Sophia Drossopoulou is a computer scientist, currently working at Imperial College London, where she is Professor in Programming Languages. She earned her Ph.D. from the Karlsruhe Institute of Technology.
Figure Eight was a human-in-the-loop machine learning and artificial intelligence company based in San Francisco.
David Charles De Roure is an English computer scientist who is a professor of e-Research at the University of Oxford, where he is responsible for Digital Humanities in The Oxford Research Centre in the Humanities (TORCH), and is a Turing Fellow at The Alan Turing Institute. He is a supernumerary Fellow of Wolfson College, Oxford, and Oxford Martin School Senior Alumni Fellow.
Marta Zofia Kwiatkowska is a Polish theoretical computer scientist based in the United Kingdom.
Apache Stanbol is an open source modular software stack and reusable set of components for semantic content management. Apache Stanbol components are meant to be accessed over RESTful interfaces to provide semantic services for content management. Thus, one application is to extend traditional content management systems with semantic services.
Hannah-Mary Dee is a British cognitive scientist and computer scientist specialising in computer vision, with specialisms in plant science, navigation, art, and medical imaging. In 2014, she was one of 30 women identified by the British Computer Society in the "BCS Women in IT Campaign.
Sightsmap was a sightseeing popularity heatmap overlaid on Google Maps, based on crowdsourcing: the number of Panoramio photos taken at each place in the world.
Katy Börner is an engineer, scholar, author, educator, and speaker specializing in data analysis and visualization, particularly in the areas of science and technology (S&T) studies and biomedical applications. Based out of Indiana University, Bloomington, Börner is the Victor Yngve Distinguished Professor of Engineering & Information Science in the Department of Intelligent Systems Engineering and the Department of Information and Library Science at the Luddy School of Informatics, Computing, and Engineering and a member of the Core Cognitive Science Faculty. Since 2012, she has also held the position of visiting professor at the Royal Netherlands Academy of Arts and Sciences (KNAW) in Amsterdam, the Netherlands, and in 2017-2019, she was a Humboldt Fellow at Dresden University of Technology, Germany.
In natural language processing, linguistics, and neighboring fields, Linguistic Linked Open Data (LLOD) describes a method and an interdisciplinary community concerned with creating, sharing, and (re-)using language resources in accordance with Linked Data principles. The Linguistic Linked Open Data Cloud was conceived and is being maintained by the Open Linguistics Working Group (OWLG) of the Open Knowledge Foundation, but has been a point of focal activity for several W3C community groups, research projects, and infrastructure efforts since then.
Iryna Gurevych, member Leopoldina, is a Ukrainian computer scientist. She is Professor at the Department of Computer Science of the Technical University of Darmstadt and Director of Ubiquitous Knowledge Processing Lab.
Boi Volkert Faltings is a Swiss professor of artificial intelligence at École Polytechnique Fédérale de Lausanne.
Richard Chbeir is a professor of computer science at the University of Pau and the Adour Region in France, where he leads the computer science laboratory called LIUPPA. He is the director of the Semantics & Privacy in Digital Ecosystems Research group (SPiDER). He is currently working on information and knowledge extraction.
Gjergji Kasneci is a German computer scientist known for his contributions to the field of Artificial Intelligence, specifically, knowledge base construction, semantic search, and data science. He is a full professor and heads the chair for Responsible Data Science at the Technical University of Munich (TUM), and is a core member of the Munich Data Science Institute. Before his current appointment, Kasneci has held multiple positions in academia and industry, including the role of Chief Technology Officer (CTO) at Schufa Holding AG and an honorary professorship at the University of Tübingen.
{{cite web}}
: |first=
has generic name (help)