Track description
Workshops track

Monday April 23rd

  • 8th Temporal Web Analytics Workshop (TempWeb)
    Organizers: Marc Spaniol, Ricardo Baeza-Yates and Julien Masanes

    Keywords: Web scale data analytics, Temporal Web analytics, Distributed data analytics, Web science, Web dynamics, Data quality metrics, Web spam evolution, Content evolution on the Web, Systematic exploitation of Web archives, Large scale data storage, Large scale data processing, Time aware Web archiving, Data aggregation, Web trends, Topic mining, Terminology evolution, Community detection and evolution

    The objective of this workshop is to provide a venue for researchers of all domains (IE/IR, Web mining, etc.) where the temporal dimension opens up an entirely new range of challenges and possibilities. The workshop’s ambition is to help shaping a community of interest on the research challenges and possibilities resulting from the introduction of the time dimension in Web analysis. The maturity of the Web, the emergence of large-scale repositories of Web material, makes this very timely and a growing set of research and services are emerging that have this focus in common. Having a dedicated workshop will help, we believe, to take a rich and cross-domain approach to this new research challenge with a strong focus on the temporal dimension.
    View description & CFP

  • 4th AW4city – Enhancing Citizen Centricity with Web Applications
    Organizers: Leonidas Anthopoulos, Marijn Janssen and Vishanth Weerakkody

    Keywords: Smart city, digital city, intelligent city, web applications, Apps, IoT, IoE, WWW

    Following up the success of the past events at WWW2015, WWW2016 and WWW2017, the 4th AW4City aims to keep on attracting a significant international attention with regard to web applications for smart cities. More specifically, the aim of this workshop is to focus on the applications smart city component and more specifically on the design and implementation of web-based innovative applications and mobile Apps that deliver smart services or address smart city challenges. This year, the proposed workshop will emphasize on the contribution of web applications and Apps to citizen centricity. In the era of cities, municipal leaders, service and utility providers are making an important shift regarding thinking of people as customers and of customer experience. This shift is not a simple task since it demands a continuous service monitoring, assessment and improvement [1;2;3], which normally is based on accurate data analysis and appears as a thinking that makes government and providers more personal and responsive [4]. In this respect, the proposed workshop aims to demonstrate how web applications and Apps can enhance citizen centricity.
    View description & CFP

  • ORSUM: Workshop on Online Recommender Systems and User Modeling
    Organizers: Alipio M. Jorge, João Vinagre, Myra Spiliopoulou and Pawel Matuszyk

    Keywords: recommender systems, user modeling, online learning

    Modern web-based systems continuously generate data at very fast rates. This continuous flow of data encompasses web content — e.g. posts, news, products, comments –, but also user feedback — e.g. ratings, views, reads, clicks, thumbs up –, as well as context information — device used, geographic info, social network, current user activity, weather. This is potentially overwhelming for systems and algorithms design to work in batch, given the fast rate of change of content, usage patterns and contextual variables. Incremental models that learn from data streams are gaining attention, given their natural ability to deal with data generated in dynamic, complex environments. User modeling and personalization exploits content, user feedback and context in data, and can particularly benefit from algorithms capable of maintaining models incrementally and online, as data is generated. The objective of this workshop is to bring together researchers and practitioners interested in incremental and adaptive approaches to recommendation and personalization, as well as other related tasks, such as evaluation, web content mining, context-awareness or architectures.
    View description & CFP

  • Exploitation of Social Media for Emergency Relief and Preparedness
    Organizers: Marie-Francine Moens, Gareth Jones, Saptarshi Ghosh, Debasis Ganguly, Kripabandhu Ghosh and Tanmoy Chakraborty

    Keywords: Emergency preparedness, Post-disaster relief, Online Social Media, Dataset

    The ever-increasing amounts of user-generated contents on online social media (OSM) platforms such as Twitter, Facebook, WhatsApp, etc. have become important sources of real-time information during emergency events (e.g. natural disasters like earthquakes, cyclones, floods, fire, epidemics or man-made disasters like terror attacks, riots). During such an event, various information is posted on OSM, which can contribute significantly to relief operations. Additionally, crowdsourced content from OSM can also be utilised for emergency preparedness, such as for identifying disaster-prone regions and infrastructures, developing early warning systems, developing emergency-resilient communities, and so on. [Note: the terms “emergency” and “disaster” are used inter-changeably in this proposal.] Given the huge volume and the rapid rates at which content is posted on OSM, automated techniques and information systems need to be developed for extracting, summarizing and presenting the critical information in a useful way. The proposed workshop aims to provide a forum for researchers working on related fields to present their insights. The workshop aims to bring together researchers from diverse fields — Information Retrieval, Data Mining and Machine Learning, Natural Language Processing, Social Network Analysis, Computational Social Science, Human Computer Interaction — who can potentially contribute to utilising social media for emergency relief and preparedness. One specific objective of SMERP 2018 will be to promote multi-modal and multi-view information retrieval, i.e., developing methods for aggregating information from multiple online and offline data sources (including text, images, and video). Another objective of the SMERP workshop series is to provide the research community with real-life datasets to foster research on the theme. Along with a general track, the workshop will include a data-focused track, where we will make available a large dataset of content posted during a recent emergency event, and invite participants to develop methods for solving practical challenges on the dataset (details provided under Workshop topics and themes).
    View description & CFP

  • Social Sensing and Enterprise Intelligence : Towards a Smart Enterprise Transformation
    Organizers: Lipika Dey, Tirthankar Dasgupta and Priyanka Sinha

    Keywords: Enterprise Intelligence, Social Sensing, Smart Enterprise

    Breakthroughs in Artificial Intelligence (AI) and World Wide Web technologies have opened a new direction in Enterprise Intelligence, that is gradually transforming the way enterprises perform business and interact with their customers. This change is largely driven by the widespread consumer adoption of sophisticated AI technologies and web based social media. Consequently, almost all business enterprises face a number of challenges such as adoption of new business paradigms; customer centric business processes; issues with large, multimodal, multilingual, and multicultural data, analysing behavioral signals from social media; agility, security and many more. Therefore, the primary goal of this workshop is to bring together industry professionals and researchers working in the area of AI, Natural Language Processing (NLP), Machine-Learning, linguistics, social science, HCI, design and vision and those whose work concerns the intersection of these areas, together and provide a venue for the multidisciplinary discussion of how ubiquitous AI technologies can help in extracting social and enterprise intelligence for smart enterprise transformation and addressing the aforementioned challenges.
    View description & CFP

  • Extreme Multilabel Classification for Social Media
    Organizers: Akshay Soni, Robert Busa-Fekete, Krzysztof Dembczyński and Aasish Pappu

    Keywords: Multilabel Label Learning, XMLC, Document Tagging

    Extreme Multilabel Classification (XMLC) is a very active and rapidly growing research area that deals with the problem of labeling an item with a small set of tags out of an extremely large number of potential tags. Applications include content understanding, document tagging, image tagging, biological sequence tagging, recommendation, etc. While the difficulty and the potential applications of XMLC are well understood in the core machine learning community, to the best of our knowledge, XMLC has not made inroads in the field of Information Retrieval (IR) and related areas. The aim of this workshop is to bring researchers from academia and industry in order to further advance this very exciting field and come up with potential applications of XMLC in new areas. We envision a gathering of researchers and practitioners either currently working on XMLC, or using XMLC algorithms for their products, or who may use XMLC in future. There would be invited talks from many renowned researchers in this area. We are also seeking extended abstracts and full papers (short and long) presenting interesting work in this direction for being accepted either as a spotlight talk, paper or poster. Given that we are soliciting new application areas for XMLC, we expect researchers from a variety of backgrounds: core ML, recommendations, applications of XMLC in video and image tagging, speech processing, IR etc.
    View description & CFP

  • 11th International Workshop on Linked Data on the Web
    Organizers: Tim Berners-Lee, Sarven Capadisli, Stefan Dietze, Aidan Hogan, Krzysztof Janowicz and Jens Lehmann

    Keywords: Linked Data, Knowledge Graphs, Web of Data

    The goal of LDOW2018 is to provide a forum for exposing and discussing novel research and applications in the area of Linked Data, as well as in other areas relating to the decentralised publication and consumption of structured and semi-structured data (e.g., knowledge graphs,, Microdata) on the Web. By bringing together the community of researchers in this and related fields, we expect to further shape the ongoing Linked Data research agenda. The increasingly mainstream adoption of Linked Data within the Web community and its main enterprises emphasises the continued relevance of this workshop to The Web Conference.
    View description & CFP

  • First International Workshop on Hybrid Question Answering with Structured and Unstructured Knowledge (HQA’18)
    Organizers: Franz Baader, Brigitte Grau and Yue Ma

    Keywords: workshop proposal, question answering, query answering, hybrid reasoning

    More and more knowledge is available electronically in a structured or unstructured form over the World Wide Web (WWW). Such knowledge has become a rich resource to answer our daily life questions and even scientific questions posed by domain experts. Accordingly, it becomes a necessity to develop tools that can (semi-)automatically answer questions based on the large amount of the available data. There have been distinct approaches developed due to the knowledge diversity existing in the data, and these approaches need to be combined to achieve a more reliable question answering system by exploring the heterogeneous information in full measure. The objective of this workshop is to bring together researchers and developers working on question/query answering systems over structured or unstructured knowledge, and create a platform to grow potential collaborations in this multidisciplinary task.
    View description & CFP

  • The third edition of Educational Knowledge Management workshop
    Organizers: Inaya Lahoud, Elsa Cardoso and Nada Matta

    Keywords: Knowledge management, Education, web technologies

    The high volume of information in organizations has led researchers to starting to understand and appreciate knowledge and search how to manage it. Knowledge management aims to retrieve and share information within databases, documents or know-how of organizations’ employees in order to help them to cooperate and improve their ideas, increase the opportunities for innovation, and therefore enable organizations to better stay ahead of the competition. Many organizations such as business, industrial, and medical ones are implementing technologies and tools to better manage their knowledge. However, these tools, and techniques can be applied in the educational domain. The interest in Knowledge Management for the educational domain has been growing in recent years. This can be seen in the series of conferences organized by the International Educational Data Mining Society and in papers discussing the role of knowledge management in higher education. As education is increasingly occurring online or in educational software, resulting in an explosion of data, new technologies such as semantic web and data mining techniques are being developed and tested, aiming for instance to improve educational effectiveness, determine the key factors to the success of educational training, support basic research on learning, or manage educational training by satisfying the needs of a community, local industry, or professional development.
    View description & CFP

  • WS-REST 2018: Ninth International Workshop on Web APIs and Service Architecture
    Organizers: Erik Wilde, Mike Amundsen and Mehdi Medjaoui

    Keywords: APIs, Services, Web Services, SOA, REST, Digital Transformation

    The goal of WS-REST 2018 is to provide a forum for researchers and practitioners where they can openly and freely exchange ideas about how they are using Web technologies in their APIs, what works and what does not work for them, and what challenges they see in the current landscape of standards and technologies. Our goal is to capture both the state of the art when it comes to Web APIs and service architecture, but to also provide a forum that identifies some of the most pressing issues in that space, and can help to build momentum solving them. The Call for Papers will include topics focused not just on classic Web Services and REST but also Web APIs in general including Internet of Things implementations and general discussions on the role of Web-based APIs in “digital transformation” of existing organizations.
    View description & CFP

  • The Sixth International Workshop on Natural Language Processing for Social Media (SocialNLP 2018)
    Organizers: Lun-Wei Ku and Cheng-Te Li

    Keywords: social media, natural language processing, text mining, social network analysis, sentiment analysis

    With the rapid growing of social networking services (e.g., Facebook and Twitter), being able to process data come from such platforms has gained much attention in recent years. SocialNLP is a new inter-disciplinary area of natural language processing (NLP) and social computing. There are three plausible directions of SocialNLP: (1) addressing issues in social computing using NLP techniques; (2) solving NLP problems using information from social media; and (3) handling new problems related to both social computing and natural language processing. Several challenges are foreseeable in SocialNLP. First, the message lengths on social media are usu-ally short, and thus it is difficult to apply traditional NLP approaches directly. Second, social media contains heterogeneous information (e.g. tags, friends, followers, likes, and retweets) that should be considered together with the contents for better quality of analysis. Finally, social media contents always involve multiple persons with slangs and jargons, and usually require special techniques to process. We organize SocialNLP in WWW 2018 with three goals. First, social media data is essentially generated and collected from online social services that are functioned based on Web techniques. One can leverage Web techniques to investigate various user behaviors and investigate the interactions between users. Second, user-generated data in social media is mainly in the form of text. Theories and techniques on Web information retrieval and natural language processing are desired for semantic understanding, accurate search, and efficient processing of big social media data. Third, from the perspective of application, if social media data can be effectively processed to distill the collective knowledge of users, novel Web applications, such as emergency management, social recommendation, and future prediction, can be developed with higher accuracy and better user experience. We expect SocialNLP workshop in WWW community can provide mutually-reinforced benefits for researchers in areas of Web techniques, information retrieval and social media analytics.
    View description & CFP

  • Mining Attributed Networks Workshop
    Organizers: Martin Atzmueller, Sabrina Gaito, Roberto Interdonato, Rushed Kanawati, Christine Largeron, Matteo Magnani, and Alessandra Sala

    Keywords: complex networks, network analysis, graph mining, feature-rich networks

    The growing availability of multirelational data gives rise to an opportunity for novel characterization of complex real-world relations. This workshop aims to explore innovative methods to unveil deeper understanding of feature-rich networks such as Attributed Graphs, Multilayer Networks, Temporal and Heterogeneous Networks, Knowledge Graphs and Probabilistic Networks with innovative methods inspired from different fields. We also aim to incentive a domain-driven approach that can drive the design of novel network models exposing peculiar features to exploit the full potential of mining complex network structures in domain-specific applications.
    View description & CFP

  • wwwAfrica 2018 (second edition) [CANCELLED]
    Organizers: Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo and Roger Nkambou

    Keywords: African problematics, Web technologies, eGovernance, eHealth, Smartcities, e-learning

    The aim of this workshop called wwwAfrica2018 is to bring together active scholars and practitioners interested in proposing for African problematics, powerful algorithms and technologies exploring the web Technologies. The web scope holds a tremendous repertoire of algorithms and methods that constitute the core of different topics that can help in economic growth, heath, education, community and development. WwwAfrica goals are three-folds:

    • How the web techonologies contribute to solve specific African problematics?
    • How the African problematics can drive and raise new fundamental questions for the www?
    • How the web applications could drive sub-regional integration?
    Contributions will clearly point out answers to one of these goals focusing on web techniques as well as focusing on specific African problems.
    View description & CFP

Tuesday April 24th

  • LocWeb 2018: Eighth International Workshop on Location and the Web
    Organizers: Dirk Ahlers, Erik Wilde, Rossano Schifanella, Jalal S. Alowibdi and Muhammad Zubair Shafiq

    Keywords: spatio-social network, spatio-social patterns, spatio-social graphs

    In this year’s workshop, we aim to attract researchers from all over the world working in the field of social computing, with particular focus on spatio-social network, i.e., social network users’ behaviors, activities, interactions, news propagation, and social influence learning models in the context of available spatial or location information. We are particularly interested in new tools and technqiues for the modeling and analysis of dynamic spatio-social networks, besides static spatio-social networks. In recent years, more industries have begun investing in online advertisement on social networks. One hurdle has been the disconnect between activities in the online and physical worlds. This proposed workshop will provide an opportunity for industry and academia to understand this disconnect and develop methods and techniques to bridge this gap. Users with similar interests, profiles and behavioral patterns but different locations may be subject to very different influences on their decision making. We are particularly interested in what additional knowledge can be mined from dynamic spatio-social graphs and the short length of microblogged posts.  In this context, we would like to invite researchers from the data mining, web mining and natural language processing communities to apply their expertise to develop more efficient and practical algorithms and models to obtain knowledge from spatio-social media and web data. We invite submissions related to topics which include, but are not limited to: 

    • Location prediction in social media and the Web 
    • Social activities and behavioral analytic metrics 
    • Influence modeling in static and dynamic spatio-social graphs 
    • Natural language processing for microblogs
    • Dynamic spatio-social graph processing 
    • Learning methods for social link prediction 
    • Information retrieval 
    • Evaluation of frameworks, metrics and algorithms 
    • Events detection and fake news on social media and the web
    Applications of any of the above methods and technologies
    View description & CFP

  • PROFILES & Data:Search – International Workshop on Profiling and Searching Data on the Web
    Organizers: Laura Koesten, Elena Demidova, Vadim Savenkov, John Breslin, Oscar Corcho, Stefan Dietze and Elena Simperl

    Keywords: Web data, dataset profiles, federated query

    The Web of Data has seen tremendous growth recently. In addition, new forms of structured data have emerged in the form of Web markup, such as, and entity-centric data in the Web tables. Considering these rich, heterogeneous and evolving data sources which cover a wide variety of domains, exploitation of Web Data becomes increasingly important in the context of various applications, including federated search, entity linking, question answering, and fact verification. These applications require reliable information on dataset characteristics, including general metadata, quality features, statistical information, dynamics, licensing and provenance. Lack of a thorough understanding of the nature, scope and characteristics of data from particular sources limits their take-up and reuse, such that applications are often limited and focused on well-known reference datasets. The PROFILES workshop series aim at gathering approaches to analyse, describe and discover data sources – including but not limited to semantic search and SPARQL endpoints – as a facilitator for applications and tasks such as query distribution, entity retrieval and recommendation. PROFILES offers a highly interactive forum for researchers and practitioners bringing together experts in the fields of Web, Semantic Web, Web Data, Semantic Search, Databases, NLP, IR and application domains.
    View description & CFP

  • Web Stream Processing
    Organizers: Payam Barnaghi, Jean-Paul Calbimonte and Daniele Dell’Aglio

    Keywords: data streams, stream processing, continuous query, web of things, internet of things

    Applications in different domains require reactive processing of massive, dynamically generated streams of data. This trend is increasingly visible also on the Web, where more and more streaming sources are becoming available. These originate from social networks, sensor networks, the Internet of Things (IoT) and many other technologies that use the Web as a platform for sharing data. This has resulted in new Web-centric efforts such as the Web of Things (WoT), which focuses on exposing and describing the IoT resources on the Web; or the Social Web which provides protocols, vocabularies, and APIs to facilitate access to social communications and interactions on the Web. Several challenges arise in this context, including the opportunity of performing data analytics over Web streams. This requires the necessity of integrating heterogeneous Web data, which should be distributed and accessible in a decentralized manner. Some of these challenges have been addressed through emerging efforts like Stream Reasoning and RDF Stream Processing. Stream Reasoning aims at combining data stream management and semantic technologies to perform reasoning over massive, heterogeneous and dynamic data; RDF Stream Processing focuses on continuous query answering over data streams modelled accordingly to RDF. While these are relevant examples of research in this domain, there is a growing need to develop flexible and scalable analytical processing for streaming data on the Web, in order to allow decentralized processing, publication and discovery of streaming data, as well as integration mechanisms at Web scale. To achieve this, the expertise from other communities, including stream mining, machine learning and distributed processing can be highly valuable. This workshop aims at putting together relevant communities in order to discuss and explore holistic processing models for streaming data on the Web. This will include discussions on the issues related to publishing data streams on the Web as well as analysing them with queries and inference processes. The event will contribute to the creation of an active community interested in integrating stream processing, data analytics and and dynamic data reasoning by using methods inspired by data and knowledge management.
    View description & CFP

  • #RCBlackMirror2018: Re-Coding Black Mirror
    Organizers: Pinelopi Troullinou, Mathieu D’Aquin and Ilaria Tiddi

    Keywords: Black Mirror, Social Sciences, Ethics, Privacy, Anticipation, Societal impact of technology

    Following the success of its first edition at the International Semantic Web Conference 2017, we are proposing to organise the “Re-coding Black Mirror” workshop at The Web Conference 2018, broadening the topics addressed previously. The objective of the workshop is to explore how the widespread adoption of state-of-the-art web technologies, principles and practices could lead to potential societal and ethical challenges of the kind depicted in Back Mirror episodes, and how research related to those technologies could help minimise or even prevent the risk of those issues arising. Black Mirror is a British science fiction television anthology series created by Charlie Brooker and centred around dark and dystopian themes that examine modern society, particularly with regard to the unanticipated consequences of new technologies. Re-coding Black Mirror aims at promoting the dialogue between computer and social scientists drawing upon case scenarios on specific technologies such as the ones in Black Mirror, with the objective to raise the awareness and reflection on societal and ethical challenges as discussed intensively within social science fields such as surveillance and critical media studies. It will also be a forum for raising opportunities of networking with scholars from different fields to explore novel research problems that can be relevant to both communities. To that end, a mixed program committee and target audience is proposed, which combines both traditions. The programme itself will be a mix of paper presentations and of open debates, taking specific examples of societal and ethical issues impacted by web technologies, as well as specific examples of current research on web technologies, principles and practices that can be expected to lead to such societal and ethical concerns.
    View description & CFP

  • 2018 Workshop on “”Semantics, Analytics and Visualisation: Enhancing Scholarly Dissemination”” (SAVE-SD 2018)
    Organizers: Alejandra Gonzalez-Beltran, Francesco Osborne, Silvio Peroni and Sahar Vahdati

    Keywords: scholarly data, scholarly communication, analytics, bibliometrics, semantic publishing, semantics, visualisation, SAVE-SD

    The main goal of this workshop is bringing together publishers, companies and researchers from different fields (including Document and Knowledge Engineering, Semantic Web, Natural Language Processing, Scholarly Communication, Bibliometrics, and Human-Computer Interaction) in order to bridge the gap between the theoretical/academic and practical/industrial aspects with regards to scholarly data.
    View description & CFP

  • Wiki Workshop
    Organizers: Robert West, Leila Zia, Dario Taraborelli and Jure Leskovec

    Keywords: Wiki Workshop, Wikipedia, Wikimedia

    The goal of this workshop is to bring together researchers exploring all aspects of Wikimedia websites such as Wikipedia, Wikidata, and Wikimedia Commons. With members of the Wikimedia Foundation’s Research team in the organizing committee and with the experience of successful workshops in 2015 (at ICWSM), 2016 (at WWW and ICWSM), and 2017 (at WWW), we aim to continue facilitating a direct pathway for exchanging ideas between the organization that operates Wikimedia websites and the researchers interested in studying them.
    View description & CFP

  • Researcher Centric Scholarly Communication
    Organizers: Sarven Capadisli, Herbert Van de Sompel and Wendy Hall

    Keywords: Decentralization, Interoperability, Linked Data, Open science, REST, Semantic publishing, Social web, Web science

    The purpose of this workshop is the mobilisation of a core group of researchers and practitioners to investigate the core characteristics of a minimal viable platform for scholarly communication that is researcher-centric, interlinked, and web-native. As visible outcomes, this workshop aims to deliver initial insights regarding these core characteristics and will determine the most appropriate approach to engage in a sustained effort aimed at tackling technical challenges and promoting adoption of solutions.
    View description & CFP

  • 3rd Workshop on Linked Data & Distributed Ledgers (LD-DL)
    Organizers: Luis-Daniel Ibanez, John Domingue and Pascal Molli

    Keywords: Distributed Ledgers, Linked Data, Smart Contracts, Cryptocurrencies, Web identifiers

    The objective of this workshop is to stimulate discussion and further research around the challenges and opportunities created by applying Web and Linked Data (LD) principles and technologies to Distributed Ledgers (DLs)
    View description & CFP

  • RoD: Reasoning on Data
    Organizers: Marie-Laure Mugnier, Catherine Roussey and Pierre Senellart

    Keywords: reasoning, semantic web, data management

    The workshop RoD will gather people on a timely issue at the crossroad on knowledge representation and reasoning, data management, and the Semantic Web: How to use knowledge to make better use of data? The workshop will more precisely focus on reasoning techniques that allow to exploit domain knowledge in data access. By data we mean here structured or semi-structured data, stored in data management systems provided with a query language, rather than unstructured contents. Domain knowledge can be encoded in ontologies, rules, or constraints. An emblematic task is query answering, but knowledge can be exploited within the whole data lifecycle. The goal of RoD is to bring together the developers and users of reasoners whatever the knowledge representation language used, including systems focusing on both intensional (ontology) and extensional (data) query answering. The workshop will give developers a perfect opportunity to promote their systems. We will call for papers of different nature: theoretical, system and applicative.
    View description & CFP

  • Augmenting Intelligence with Humans-in-the-Loop (HumL2018)
    Organizers: Lora Aroyo, Gianluca Demartini, Anna Lisa Gentile and Chris Welty

    Keywords: human-in-the-loop, human computation, data science, artificial intelligence

    Human-in-the-loop is a model of interaction where a machine process and one or more humans have an iterative interaction. In this paradigm the user has the ability to heavily influence the outcome of the process by providing feedback to the system as well as the opportunity to grab different perspectives about the underlying domain and understand the step by step machine process leading to a certain outcome. Amongst the current major concerns in Artificial Intelligence research are being able to explain and understand the results as well as avoiding bias in the underlying data that might lead to unfair or unethical conclusions. Typically, computers are fast and accurate in processing vast amounts of data. People, however, are creative and bring in their perspectives and interpretation power. Bringing humans and machines together creates a natural symbiosis for accurate interpretation of data at scale. The goal of this workshop is to bring together researchers and practitioners in various areas of AI (i.e., Machine Learning, NLP, Computational Advertising, etc.) to explore new pathways of the human-in-the-loop paradigm.
    View description & CFP

  • Second Women in Data Science (WinDS) Workshop
    Organizers: Ana Paula Appel, Marisa Vasconcelos, Francesca Spezzano and Leman Akoglu

    Keywords: Data Science, Women in the field, Web Science

    The Second Workshop on Women in Data Science brings together female faculty, graduate students, research scientists, and industry researchers for an opportunity to connect, exchange ideas, and learn from each other in the field of Data Science. Underrepresented minorities, graduates, and undergraduates interested in pursuing data science, machine learning research are encouraged to participate. While most presenters should be women, everybody is invited to attend.
    View description & CFP

  • The Third International Workshop on Learning Representations for Big Networks (BigNet 2018)
    Organizers: Jie Tang, Michalis Vazirgiannis, Yuxiao Dong and Fragkiskos Malliaros

    Keywords: Network Embedding, Representation Learning, Social Networks, Web Mining, Graph Mining, Big Data

    Recent years have witnessed the emergence of network embedding research. The WWW2018 Edition of the BigNet Workshop series focuses on presenting and discussing the state-of-the-art, open problems, challenges and latest algorithms, techniques, and applications of network embedding in the era of big network data. It will provide a forum for bringing together network embedding researchers and practitioners. The workshop program will be featured with keynotes delivered by leading experts in learning representations for network and novel research works that address various challenges in this direction. In particular, the workshop welcomes submissions that present both original research results as full papers and preliminary work as extended abstracts. The topics of interest include but are not limited to network representation learning theories and foundations, representation learning for big, heterogeneous, dynamic, or multiple networks, node/graphs embeddings for application domains (i.e. text and NLP applications, image, etc), knowledge base embedding, graph kernels/similarity for embeddings, deep learning architectures able to effectively handle networks as input, network embeddings for structured prediction, visualization of network embeddings and beyond. Hereby, the BigNet workshop invites experts from all over the world to present the most recent advances in node/graph embeddings, as well as to discuss the future of this challenging research domain and its interactions with network science and graph mining in general. Detailed information about the workshop can be found at
    View description & CFP

  • 9th International Workshop on Modeling Social Media (MSM 2018): Applying Machine Learning and AI for Modeling Social Media
    Organizers: Martin Atzmueller, Alvin Chin and Christoph Trattner

    Keywords: social media, mining and modeling, web mining, machine learning, artificial intelligence

    The goal of this workshop is to apply machine learning and AI approaches and algorithms on social media, big data and the web. Contrary to last year’s workshop at WWW2017, we particularly invite submissions that try to go beyond the “simple” computational approaches and try to discover the “hidden” intelligent information, evaluate how “good” they are, and how they can be validated for accuracy and reality. Hence, the workshop aims to attract and discuss various novel aspects of knowledge learning, recommendation, community discovery, social influence and prediction from social media, big data and the web. In short, the workshop invites topics that deal with user activities and social predictable behavior that is inferred from analysis and mining the social media, big data, or web using suitable machine learning and AI methods. Thus, our goal is to bring together researchers and practitioners from around the world in the machine learning, AI, natural language processing, user analysis, big data and recommendation communities interested in 1) exploring different perspectives and approaches to mine hidden behavioral aspects of (complex) social media data, web data and big data, 2) inferring user and social influence, hidden knowledge and recommendation and 3) building models and frameworks for evaluating the designed approaches.
    View description & CFP

  • The Third International Workshop on Computational Methods for CyberSafety
    Organizers: Richard Han, Jeremy Blackburn and Homa Hosseinmardi

    Keywords: cybersafety, cyberbullying, fake news, misbehavior

    We are submitting the attached proposal for a CyberSafety workshop at The Web Conference 2018 in Lyon, France. Please refer to the following link for additional details.
    View description & CFP

  • Online Social Networks and Media: Network Properties and Dynamics (ONSED)
    Organizers: Remy Cazabet, Giulio Rossetti and Esteban Bautista

    Keywords: Dynamics ON networks, Dynamics OF networks, Dynamic Social Network Analysis, Opinion Diffusion

    Network are at the core of the Web and Internet, from infrastructure networks to online social networks. The now well established fields of network science and complex network analysis have thrived on data, needs and problems coming from the web, from large scale graphs to complex social interactions. Network dynamics is one of the biggest challenge that emerged in recent years in network science. Real life networks cannot be considered anymore as static entities that we can pin to the wall and measure once and for all. They are, on the contrary, subject to several dynamics processes: 1) dynamic on the network, such as information propagation, viral diffusion, etc. 2) and dynamic of the network, as new entities join and leave the network, new relations are created and old one vanish. Network dynamics is therefore one of the most active research of current network science. Results in this field will enable a better understanding of important aspects of human behaviors as well as to a more detailed characterization of the com- plex interconnected society we inhabit. Since the last decades, diffusive and spreading phenomena were facilitated by the enormous popularity of the Inter- net and the evolution of social media that enable an unprecedented exchange of information. For this reason, understanding how social relationships unravel in these rapidly evolving contexts represents one of the most interesting fields of research. The purpose of the Fourth edition of this workshop is to encourage research that will lead to the advancement of the social science in time-evolving networks
    View description & CFP