{"id":70,"date":"2017-11-23T14:37:55","date_gmt":"2017-11-23T13:37:55","guid":{"rendered":"https:\/\/testwebsite.2018.eswc-conferences.org\/?page_id=70"},"modified":"2018-02-21T13:09:50","modified_gmt":"2018-02-21T12:09:50","slug":"call-for-challenges","status":"publish","type":"page","link":"\/call-for-challenges\/","title":{"rendered":"Call for Challenges"},"content":{"rendered":"
The ESWC organizers are glad to announce that the Challenges Track will be included again in the program of ESWC 2018!<\/p>\n
Five challenges were held last year [1]<\/a> and allowed the ESWC2017 conference to attract a broader audience beyond the Semantic Web community, also spanning across disciplines such as Recommender Systems or Knowledge Extraction.<\/p>\n For the 2018 edition, a call for challenges is open in order to allow the selection of challenges to be held at the conference.<\/p>\n The purpose of challenges is to showcase the maturity of state of the art methods and tools on tasks common to the Semantic Web community and adjacent disciplines, in a controlled setting involving rigorous evaluation.<\/p>\n Semantic Web Challenges are an official track of the conference, ensuring significant visibility for the challenges as well as participants. Challenge participants are asked to present their submissions as well as provide a paper describing their work. These papers must undergo a peer-review by experts relevant to the challenge task, and will be published in the challenge proceedings.<\/p>\n Next to the publication of proceedings, challenges at ESWC2018 will benefit from high visibility and direct access to the ESWC audience and community.<\/p>\n [1] https:\/\/2017.eswc-conferences.org\/call-challenges <\/a><\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div> For each task there must be at least two objective criteria (metrics) (e.g. precision and recall). The evaluation procedure and the way in which the metrics will be calculated must be clearly specified and made transparent to participants (having in the website of the challenge evaluation scripts available for participants would be a good practice to use).<\/p>\n The challenges proposals should contain at least the following elements:<\/strong><\/p>\n In case of doubt, feel free to send us your challenge proposal drafts as early as possible \u2013 the challenges chairs will provide you with feedback and answers to questions you may have. 1. Open Knowledge Extraction Challenge 2018.<\/strong>The Open Knowledge Extraction Challenge invites researchers and practitioners from academia as well as industry to compete to the aim of pushing further the state of the art in knowledge extraction from text for the Semantic Web. The challenge has the ambition to provide a reference framework for research in this field by redefining a number of tasks typically from information and knowledge extraction by taking into account Semantic Web requirements and has the goal to test the performance of knowledge extraction systems. This year, the challenge goes in the fourth round and consists of four tasks which include named entity identification, disambiguation by linking to a knowledge base as well as relation and knowledge extraction. The challenge makes use of small gold standard datasets that consist of manually curated documents and large silver standard datasets that consist of automatically generated synthetic documents. The performance measure of a participating system is twofold base on (1) Precision, Recall, F1-measure and on (2)Precision, Recall, F1-measure with respect to the runtime of the system. \u00a0<\/p>\n 2. ESWC 2018 Challenge Proposal - The Mighty Storage Challenge II.<\/strong>Triple stores are the backbone of most applications based on Linked Data. Hence, devising systems that achieved an acceptable performance on real datasets and real loads is of central importance for the practical applicability of Semantic Web technologies. So far, it is only partly known whether we have already passed this cap. With this challenge, we aim to (1) provide objective measures for how well current systems (including 3 commercial systems, which have already expressed their desire to participate) perform on real tasks of industrial relevance and (2) detect bottlenecks of existing systems to further their development towards practical usage. \u00a0<\/p>\n 3. ESWC-18 Challenge on Semantic Sentiment Analysis.<\/strong>The development of Web 2.0 has given users important tools and opportunities to create, participate and populate blogs, review sites, web forums, social networks and online discussions. Tracking emotions and opinions on certain subjects allows identifying users' expectations, feelings, needs, reactions against particular events, political view towards certain ideas, etc. Therefore, mining, extracting and understanding opinion data from text that reside in online discussions is currently a hot topic for the research community and a key asset for industry.The produced discussion spanned a wide range of domains and different areas such as commerce, tourism, education, health, etc. Moreover, this comes back and feeds the Web 2.0 itself thus bringing to an exponential expansion. \u00a0<\/p>\n 4. Scalable Question Answering over Linked Data (SQA) ESWC 2018 Challenge Proposal.<\/strong> Overview The ESWC organizers are glad to announce that the Challenges Track will be included again in the program of ESWC 2018! Five challenges were held last year [1] and allowed the ESWC2017 conference to attract a broader audience beyond the Semantic Web community, also spanning across disciplines such as Recommender Systems or Knowledge Extraction. For the […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"yoast_head":"\nChallenge Proposals<\/strong><\/h2>\n
\nChallenge organizers are encouraged to submit proposals adhering to the following criteria:<\/h3>\n
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Among the selection criteria for choosing the supported challenges are:<\/h3>\n
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Important\u00a0Dates<\/strong><\/h2>\n
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Submission Details<\/strong><\/h2>\n
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\nPlease submit proposals via\u00a0Easychair<\/a><\/strong>\u00a0as soon as possible and no later than *22 December 2017*.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>Information to the Participants of the Challenges<\/strong><\/h2>\n
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Accepted Challenges<\/h2>\n
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Link:\u00a0https:\/\/project-hobbit.eu\/challenges\/oke2018-challenge-eswc-2018<\/a><\/p>\n
Link:\u00a0https:\/\/project-hobbit.eu\/challenges\/mighty-storage-challenge2018\/<\/a><\/p>\n
Therefore, the Semantic Sentiment Analysis Challenge looks for systems that can transform unstructured textual information to structured machine processable data in any domain by using recent advances in natural language processing, sentiment analysis and semantic web.By relying on large semantic knowledge bases, Semantic Web best practices and techniques, and new lexical resources, semantic sentiment analysis steps away from blind use of keywords, simple statistical analysis based on syntactical rules, but rather relies on the implicit, semantics features associated with natural language concepts. Unlike purely syntactical techniques, semantic sentiment analysis approaches are able to detect sentiments that are implicitly expressed within the text, topics referred by those sentiments and are able to obtain higher performances than pure statistical methods.
Link:\u00a0http:\/\/www.maurodragoni.com\/research\/opinionmining\/events\/challenge-2018\/<\/a><\/p>\n
Successful approaches to Question Answering are able to scale up to big data volumes, handle a vast amount of questions and accelerate the question answering process (e.g. by parallelization), so that the highest possible number of questions can be answered as accurately as possible in the shortest time. The focus of this challenge is to withstand the confrontation of the large data volume while returning correct answers for as many questions as possible. We will provide a benchmark of several thousand automatically generated questions. The successful approaches will be able to deal with this vast amount of data and parallelize the answer retrieval process. The task will build on DBpedia 2016-10 as the RDF knowledge base. Participating systems will be evaluated with respect to both the number of correct answers and the time needed.
Link:\u00a0https:\/\/project-hobbit.eu\/challenges\/sqa-challenge-eswc-2018\/<\/a><\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"