- SIPTA News - lists.sipta.org

[SIPTA] CFP: Joint International Semantic Technology Conference (JIST 2017) -- deadline extension!
by Anni-Yasmin Turhan July 28, 2017

July 28, 2017

FINAL CALL FOR PAPERS The 7th Joint International Semantic Technology Conference (JIST 2017) http://www.ict.griffith.edu.au/aist/jist2017 November 10-12, 2017 (Fri - Sun) Gold Coast, Australia The mission of the Joint International Semantic Technology Conference (JIST) is to bring together researchers in Semantic Technology research community and other areas of semantic related technologies to present their innovative research results or novel applications of semantic technologies. In this announcement: 1. Important Dates (deadlines extended) 2. Recommendation to SCI Journals 3. Call for Papers (including a new special track) 4. Submission Guide 5. Organization ============================================================= 1. Important Dates - Abstract submission: 23:59 (Hawaii Time), August 8, 2017 - Full paper submission: 23:59 (Hawaii Time), August 15, 2017 - Notification of Acceptance: September 15, 2017 - Camera-ready Deadline: September 30, 2017 - Conference: November 10-12, 2017 ============================================================= 2. Recommendation to SCI Journals A number of best papers accepted at JIST 2017 will be invited to present at the Meet the Editor session of SCI indexed journals, including International Journal on Semantic Web and Information Systems (IJSWIS), for fast-track publication in a special issue in these journals. Up to five papers will be selected and published. An indicative timeline is given below: - Manuscript revision proposal: mid November 2017 - Submission of revised manuscript: mid January 2018 - Notification of acceptance: mid March 2018 - Publication: second half 2018 ============================================================= 3. Call for Papers -------------------------------------------------------------- Call for Research Track Papers -------------------------------------------------------------- JIST 2017 research track solicits submissions of original research work on semantic technologies. Topics of interest include, but are not limited to: - Ontology and reasoning - Knowledge Graph - Linked Data - Big Data and semantics, exchange and integration - Data streams and the Internet of Things - Machine learning and information extraction on the Semantic Web - Semantic Web services and processes - Trust, privacy, and security on the Semantic Web - Social Semantic Web - Natural language processing and semantics - Semantic multimedia - Novel applications of semantic technologies -------------------------------------------------------------- Call for In-Use Track Papers -------------------------------------------------------------- Quality shared resources such as public ontologies, datasets and software are highly valuable to the research community, hence, JIST 2017 in-use track also calls for submissions of public, shared resources of interest to the Semantic Web community. Topics of interest include, but are not limited to: - Description of an implemented application - Description of concrete problems - Analysis and evaluation of semantic tools - Lessons learned and best practices - Linked Data, open data and vocabularies in production use - Semantic resources - Semantic technology in new application domains -------------------------------------------------------------- Call for Special Track Papers -------------------------------------------------------------- The philosophy behind Special Tracks is to facilitate the proactive participation of researchers from certain fields or communities who have linked the semantic technology with their research fields. Special Tracks accept 8-page short papers that will be reviewed in the same way as the Research Track papers and will be included in the Proceedings if accepted. In JIST 2017, we have two special tracks. Special Track on Energy-awareness & Semantic Technologies: As semantic technologies gain momentum, their impact on resources and society increases. Energy-consumption is one of the main challenges of 21st century. The potential contribution of semantic technologies towards this problem is twofold. On the one hand semantic technologies can assist in energy management as they are often the core of context-aware, self-adaptive applications. For instance, ontologies are used to integrate heterogeneous sources such as sensors or reasoners are employed in grid management applications. On the other hand, the efficiency of semantic technologies is still mainly assessed by running times. While computational and cognitive complexity are investigated, work on their energy-consumption is still in its infancy. However, assessing and managing their energy-consumption is a vital prerequisite for for their usefulness on mobile devices, for instance. The special track calls for contributions regarding, but not limited to: - energy-adaptive semantic technologies - measurement frameworks for energy consumption of semantic technologies - application of semantic technologies for energy management - ontologies for energy management - semantic technologies for power or grid management Special Track on Semantic Processing for Knowledge Graphs: Semantic technologies such as Linked Data promote publication of various data and knowledge on the web with semantic links among them. They form huge sized knowledge bases called Knowledge Graphs in a large variety of domains. An important technical feature of Knowledge Graphs is their rich semantics. This special track focuses on semantics of Knowledge Graphs, especially on how to use their semantics towards practical applications. Topics of interest include but are not limited to: - Semantic processing and reasoning for Knowledge Graph - Application using semantics of Knowledge Graph - Modelling of semantics for Knowledge Graph - Development of Knowledge Graph (Ontology, Linked Data) -------------------------------------------------------------- Call for Poster & Demo Papers -------------------------------------------------------------- JIST 2017 cordially invites you to submit Poster and Demo papers. For details please check our website: http://www.ict.griffith.edu.au/aist/jist2017 ============================================================= 4. Submission Submissions to JIST 2017 should describe original, significant research on semantic technologies. JIST 2017 will not accept submissions that are under review for or have already been published in or accepted for publication in a journal or another conference. Submissions to JIST 2017 are expected to present their claimed contribution, with clear evidence to support their claims. All submissions will be critically reviewed by at least three members of the program committee. To assess submissions, reviewers will judge their relevance to semantic technologies, their originality, the technical soundness of their proposed approach and the readability of the submission. JIST 2017 submissions are not anonymous. Submissions must be in PDF format, using the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). Submissions must be no longer than *16* pages for the Research and In-Use Tracks, and no longer than *8* pages for the Special Tracks. Submissions that exceed these limits may be rejected without review. Submissions to the In-Use Track that are less than 16 pages can be considered. Accepted papers will be published in an LNCS proceedings. At least one author of each accepted paper must register for the conference and present the paper there. Papers can be submitted electronically via https://easychair.org/conferences/?conf=jist2017. Please select the corresponding tracks when you submit your paper(s). ============================================================= 5. Organization General Chairs - Thepchai Supnithi, National Electronics and Computer Technology Center, Thailand - Kewen Wang, Griffith University, Australia Program Chairs - Anni-Yasmin Turhan, Dresden University of Technology, Germany - Zhe Wang, Griffith University, Australia Organized by: JIST Steering Committee Program Committee: Fernando Bobillo, University of Zaragoza, Spain Chantana Chantrapornchai, Kasetsart University, Thailand Huajun Chen, Zhejiang University, China Gong Cheng, Nanjing University, China Stefan Dietze, L3S Research Center, Germany Dejing Dou, University of Oregon, USA Jianfeng Du, Guangdong University of Foreign Studies, China Alessandro Faraotti, IBM, Italy Zhiyong Feng, Tianjin University, China Marcelo Finger, Universidade de Sao Paulo, Brazil Naoki Fukuta, Shizuoka University, Japan Volker Haarslev, Concordia University, Canada Armin Haller, Australian National University, Australia Wei Hu, Nanjing University, China Eero Hyvönen, Aalto University, Finland Ryutaro Ichise, National Institute of Informatics, Japan Ernesto Jimenez-Ruiz, University of Oxford, UK Takahiro Kawamura, Japan Science and Technology Agency, Japan Evgeny Kharlamov, University of Oxford, UK Martin Kollingbaum, University of Aberdeen, UK Kouji Kozaki, Osaka University, Japan Adila A. Krisnadhi, Wright State University & Universitas Indonesia, Indonesia Michael John Lawley, CSIRO Australian E-Health Research Centre, Australia Yuan-Fang Li, Monash University, Australia Juanzi Li, Tsinghua University, China Yuefeng Li, Queensland University of Technology, Australia Wei Liu, The University of Western Australia, Australia Yinglong Ma, North China Electric Power University, China Yue Ma, Université Paris Sud, France Theofilos Mailis, National Technical University of Athens, Greece Maria Vanina Martinez, Universidad Nacional del Sur in Bahia Blanca, Argentina Eduardo Mena, University of Zaragoza, Spain Riichiro Mizoguchi, Japan Advanced Institute of Science and Technology, Japan Trina Myers, James Cook University, Australia Jeff Z. Pan, University of Aberdeen, UK Guilin Qi, Southeast University, China Edelweis Rohrer, Universidad de la República, Uruguay Tong Ruan, ECUST, China Jun Shen, University of Wollongong, Australia Sa-Kwang Song, KISTI, Korea Giorgos Stoilos, Athens University of Economics and Business, Greece Umberto Straccia, ISTI-CNR, Italy Jing Sun, The University of Auckland, New Zealand Kerry Taylor, Australian Bureau of Statistics & Australian National University, Australia Anni-Yasmin Turhan, Dresden University of Technology, Germany Zhe Wang, Griffith University, Australia Xin Wang, Tianjin University, China Haofen Wang, Shenzhen Gowild Robotics Co. Ltd, China Shenghui Wang, OCLC Research, Netherlands Guohui Xiao, Free University of Bozen-Bolzano, Italy Bin Xu, Tsinghua University, China Xiaowang Zhang, Tianjin University, China Amal Zouaq, University of Ottawa, Canada

1 0

Re: [SIPTA] Fwd: [UAI] CfP: Reliable Machine Learning in the Wild at ICML 2017, deadline 17 July
by Fabio Cuzzolin July 27, 2017

July 27, 2017

1 0

[SIPTA] FW: may be of interest to you
by Kreinovich July 23, 2017

July 23, 2017

1 0

Re: [SIPTA] FW: IEEE Symposium on Computational Intelligence in Engineering Solutions: deadline extended to August 7
by Kreinovich July 21, 2017

July 21, 2017

1 0

[SIPTA] Fwd: AI position paper
by Cassio P. de Campos July 14, 2017

July 14, 2017

Dear all, For those who were there in the ISIPTA panel today, the recent paper by Adnan Darwiche (see below for the link) relates very well with what I have mentioned about the situation I think we are facing in machine learning/AI and the opportunities that may/will arise for IP. For those who were not present, it is an interesting reading nevertheless. cheers, cassio. PS Great to see many of you at ISIPTA! ---------- Forwarded message ---------- From: Adnan Darwiche <darwiche(a)cs.ucla.edu> Date: Thu, Jul 13, 2017 at 12:03 AM Subject: AI position paper To: Cassio de Campos <cassiopc(a)acm.org> Hi Cassio: Hope all is well. I just released an AI position paper that you may be interested in: http://reasoning.cs.ucla.edu/fetch.php?id=174&type=pdf There is also a short talk on this at: https://www.youtube.com/watch?v=UTzCwCic-Do Hope you will find this useful (and please feel free to share the links with interested colleagues). Best, Adnan

1 0

[SIPTA] Final Call for Papers of IEEE SSCI 2017: deadline is July 16!
by Kreinovich July 11, 2017

July 11, 2017

1 0

[SIPTA] Fwd: [UAI] CfP: Reliable Machine Learning in the Wild at ICML 2017, deadline 17 July
by Sébastien Destercke July 11, 2017

July 11, 2017

Dear all, This might interest some of you, in particular the robustness aspects first advocated. ---------- Forwarded message ---------- From: Adrian Weller <aw665(a)cam.ac.uk> Date: 2017-07-10 0:48 GMT+02:00 Subject: [UAI] CfP: Reliable Machine Learning in the Wild at ICML 2017, deadline 17 July To: Cc : Jacob Steinhardt <jacob.steinhardt(a)gmail.com>, Dylan Hadfield-Menell <dhm(a)eecs.berkeley.edu>, Smitha Milli <smilli(a)berkeley.edu> Final call for Papers for ICML 2017 Workshop on Reliable Machine Learning in the Wild, please forward to others who may have interest. Workshop website https://sites.google.com/site/wildml2017icml/ When can we trust that a system that has performed well in the past will continue to do so in the future? Designing systems that are reliable in the wild is essential for high stakes applications such as self-driving cars and automated surgical assistants. This workshop aims to bring together researchers in diverse areas such as reinforcement learning, human-robot interaction, game theory, cognitive science, and security to further the field of reliability in machine learning. We will focus on three aspects — robustness (to adversaries, distributional shift, model misspecification, corrupted data); awareness (of when a change has occurred, when the model might be miscalibrated, etc.);and adaptation (to new situations or objectives). We aim to consider each of these in the context of the complex human factors that impact the successful application or meaningful monitoring of any artificial intelligence technology. Together, these will aid us in designing and deploying reliable machine learning systems. We are seeking submissions that deal with the challenges of reliably applied machine learning techniques in the real world. Some possible questions touching on each of these categories are given below, though we also welcome submissions that do not directly fit into these categories. Robustness: How can we make a system robust to novel or potentially adversarial inputs? What are ways of handling model mis-specification or corrupted training data? What can be done if the training data is potentially a function of system behavior or of other agents in the environment (e.g. when collecting data on users that respond to changes in the system and might also behave strategically)? Awareness: How do we make a system aware of its environment and of its own limitations, so that it can recognize and signal when it is no longer able to make reliable predictions or decisions? Can it successfully identify “strange” inputs or situations and take appropriately conservative actions? How can it detect when changes in the environment have occurred that require re-training? How can it detect that its model might be mis-specified or poorly-calibrated? Adaptation: How can machine learning systems detect and adapt to changes in their environment, especially large changes (e.g. low overlap between train and test distributions, poor initial model assumptions, or shifts in the underlying prediction function)? How should an autonomous agent act when confronting radically new contexts? Monitoring: How can we monitor large-scale systems in order to judge if they are performing well? If things go wrong, what tools can help? Value Alignment: For systems with complex desiderata, how can we learn a value function that captures and balances all relevant considerations? How should a system act given uncertainty about its value function? Can we make sure that a system reflects the values of the humans who use it? Reward Hacking: How can we ensure that the objective of a system is immune to reward hacking? Reward hacking is a way that the system can attain high reward that was unintended by the system designer. For example see https://blog.openai.com/faulty-reward-functions/ Human Factors: Actual humans will be interacting and adapting to these systems when they are deployed. How do properties of humans affect the guarantees of performance that the system has? What if the humans are suboptimal or even adversarial? How to submit Papers submitted to the workshop should be up to four pages long excluding references and in ICML 2017 format. They should be submitted via Easychair at https://easychair.org/conferences/?conf=rmlw17 . As the review process is not blind, authors can reveal their identity in their submissions. Accepted submissions will be presented as posters or talks. We will accept submissions at two deadlines. One earlier deadline, with an earlier acceptance notification, and one later one. Our goal is to allow for late submission to the extent that we can, while still allowing some people to get early confirmation of paper acceptance, which they might need in order to arrange travel in time. Important Dates: Submission deadline 1: 16 June 2017 Acceptance notification 1: 1 July 2017 Submission deadline 2: 17 July 2017 Acceptance notification 2: 31 July 2017 Final camera-ready versions of accepted papers: 5 August 2017 Workshop: 11 August 2017 Thank you, Dylan, Jacob, Smitha and Adrian ---------------------------------------------- Adrian Weller _______________________________________________ uai mailing list uai(a)ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai -- ==================================== Sebastien Destercke, Ph. D. CNRS researcher in computer science. Université de Technologie de Compiegne U.M.R. C.N.R.S. 7253 Heudiasyc Avenue de Landshut F-60205 Compiegne Cedex FRANCE Tel: +33 (0)3 44 23 79 85 Fax: +33 (0)3 44 23 44 77 ====================================

1 0

[SIPTA] Fwd: [Bayes-forum: 148] Three post-doctoral positions on Bayesian machine learning
by Thomas Augustin June 27, 2017

June 27, 2017

1 0

Re: [SIPTA] Question about the word "gamble" -- and "prevision"
by Serena Doria June 12, 2017

June 12, 2017

Dear Professor Bickis, In Italian the two words Previsione=Prevision and Predizione=Prediction have different acceptation. (Devoto-Oli Dictionary) Previsione = Elaborazione mentale relativa al futuro, sulla base di indizi piu' o meno sicuri (Mental thinking about the future based on more or less secure clues) Example: Previsioni atmosferiche =Weather forecasts Predizione = previsione autorevole e solenne riferita come oggetto di una previsione o profezia (Authoritative and solemn predictions referred as the subject of a prediction or prophecy) Best regards, Serena Professor Bickis <bickis(a)snoopy.usask.ca> ha scritto: > Thanks for all your collective erudition. I am aware that “gamble” > or its synonyms “wager” and “bet” have been used by many writers in > the context of probability and decisions theory. I was thinking of > the use of the word in the generic abstract sense that Walley uses. > Since Walley’s development picks up on de Finetti and Williams in > using “prevision”, I wondered if one of them had also used “gamble”, > but it seems that they did not. > > Googling some Italian web sites on probability, I did come across > the word “scommessa” in discussion of expectation/prevision, but I > wonder if de Finetti himself used it in the sense that Walley used > “gamble”. > > I am also a bit mystified by the history of the word “prevision”. > Writing in French his 1937 paper, de Finetti uses “prévision” rather > than the more common (even then) espérance. I would translate > “prévision” as “predicition” in English. I see that in the 1974 > English translation of de Finetti’s "Teoria de la Probabilità”, the > translators note that they are using “prevision” (where earlier > translators had used “foresight”), thereby making “prevision” less > esoteric in English. However, in the same book, de Finetti makes a > big deal that the “prevision is not prediction” (in the English > translation). I would be interested if any Italian speakers out > there could explain how de Finetti described this in his native > language. I would render the French “prévision” as “predicition” in > English, so naively would think that “previsione” in Italian also > translates as “prediction”. Google Translate, however, gives me > “predizione”, > for “predicition”. So when writing in Italian does de Finetti > contrast “previsione” from “predizione”? Here once can see the > difference between seeing and speaking, which is somewhat masked in > English. Is that what de Finetti was driving at? > > Interested in discussion. > > Mik Bickis > >> On Jun 6, 2017, at 08:18 AM, Samuel Cohen <cohens(a)maths.ox.ac.uk> wrote: >> >> Dear all, >> >> If you are looking more generally at the history, it's unsurprising >> the word 'gamble' wasn't used much before the mid-20th century. >> While it was a common word in english since the 18th century (but >> was a colloquialism), it seems to have moved up in popularity post >> 1900 (see for example google ngrams). >> >> De Moivre, in arguably the first textbook on probability in >> English, uses 'wager' throughout (which is natural, as his >> attention is on games of chance). >> >> Best, >> Sam Cohen >> >> >> >> so On 06/06/17 14:01, Teddy Seidenfeld wrote: >>> Dear Mik, Erik, and Friends, >>> >>> I'm no scholar of the term 'gamble', but it's been used by many >>> decision theorists in closely related senses. >>> >>> For instance, Savage's (1954) section 5.2 (titled 'Gambles') uses >>> it within his theory (of subjective expected utility) to refer to >>> the equivalence class of simple acts that carry the same >>> (personal) probability distribution over consequences. Savage is >>> generalizing the von Neumann-Morgenstern sense of 'gamble'. >>> >>> I grew up with the von Neumann-Morgenstern's theory of cardinal >>> utility for gambles -- though vN-M use an extraneous concept of >>> 'probability' in contrast with Savage's approach. >>> >>> Best, >>> Teddy >>> >>> >>> >>> >>> >>> >>> On Mon, Jun 5, 2017 at 7:12 PM, Professor Bickis >>> <bickis(a)snoopy.usask.ca> wrote: >>> Hello: >>> >>> Can someone answer this question? >>> >>> Was it Walley who initiated the word “gamble” to use in place of >>> the classical “random variable”? De Finetti uses “random >>> quantity”, as does Williams. “Gamble” is ubiquitous in the >>> current literature, but I have not seen it anywhere prior to >>> Walley’s 1991 book. >>> Walley does not seem to attribute the term to anyone else. >>> >>> Mik Bickis >>> _______________________________________________ >>> SIPTA mailing list >>> SIPTA(a)idsia.ch >>> http://mailman2.ti-edu.ch/mailman/listinfo/sipta >>> >>> >>> >>> _______________________________________________ >>> SIPTA mailing list >>> >>> SIPTA(a)idsia.ch >>> http://mailman2.ti-edu.ch/mailman/listinfo/sipta >> >> _______________________________________________ >> SIPTA mailing list >> SIPTA(a)idsia.ch >> http://mailman2.ti-edu.ch/mailman/listinfo/sipta > > _______________________________________________ > SIPTA mailing list > SIPTA(a)idsia.ch > http://mailman2.ti-edu.ch/mailman/listinfo/sipta >

3 2

Re: [SIPTA] Question about the word "gamble"
by Samuel Cohen June 7, 2017

June 7, 2017

3 2