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KDWEB 2019 : 5th International Workshop on Knowledge Discovery on the Web

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Link: http://www.iascgroup.it/kdweb2019.html
 
When Jun 11, 2019 - Jun 11, 2019
Where Daejeon, South Korea
Submission Deadline Apr 1, 2019
Notification Due Apr 28, 2019
Categories    artificial intelligence   computer sciance   knowledge discovery
 

Call For Papers

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CALL FOR PAPERS
KDWEB 2019
5th International Workshop on Knowledge Discovery on the WEB
11 June 2019, Daejeon, South Korea
http://www.iascgroup.it/kdweb2019

Hosted by ICWE 2019: 19th International Conference on Web Engineering
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In the current era of digital and social data, the world became more connected, networked, and traceable, with the consequent exponentially growth of data creation, sharing, and storing. In particular, data changed from static, complete, and centralized to dynamic, incomplete, and distributed; furthermore, data rapidly increased its scope and size, with the continuous increase of volumes, varieties, and velocities. All these aspects led to new challenges undertaken by the field of Big Data Analysis. Consequently, there is the need for novel computational techniques and tools able to assist humans in extracting useful information (knowledge) from the huge volumes of data.

Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from such data, and currently is widespread in numerous fields, including science, engineering, healthcare, business, and medicine. Recently, the rapid growth of social networks and online services entailed that Knowledge Discovery approaches focused on the World Wide Web (WWW), whose popular use as global information system led to a huge amount of digital data.

KDWeb 2019 is focused on the field of Knowledge Discovery from digital data, with particular attention for Data Mining, Machine Learning, and Information Retrieval methods, systems, and applications. KDWeb 2019 is aimed at providing a venue to researchers, scientists, students, and practitioners involved in the fields of Knowledge Discovery on Data Mining, Information Retrieval, and Semantic Web, for presenting and discussing novel and emerging ideas. KDWeb 2019 will contribute to discuss and compare suitable novel solutions based on intelligent techniques and applied in real-world applications.



***Topics of Interest***
The workshop welcomes submissions of fresh investigations concerning experimental and applied studies on web Knowledge Discovery. The topics include but are not limited to:

- Big Data on the Web
- Deep Learning on the Web
- Feature Selection and Extraction of Web data
- Hierarchical Categorization of Web data
- Linked Web Data
- Machine Learning applications on the Web
- Open Web Data
- Semantic Web
- Semantics and Ontology Engineering for Web applications
- Social Media Mining
- Social Media Measures and applications
- Text Categorization on the Wweb
- Text Mining for Web applications
- Web data Mining
- Web Information Filtering and Retrieval
- Web Personalization and Recommendation

***Submissions***
Authors should submit an original paper in English, carefully checked for correct grammar and spelling, using the on-line submission procedure. Authors could submit either regular papers or long abstracts. At least one author of each accepted paper must register for the conference and present the paper there.


***Important Dates***

- Paper Submission: April 1, 2019
- Acceptance Notifications: April 28, 2019
- Camera Ready: May 15, 2019
- Workshop Day: June 11, 2019


***Organizers***

Workshop Chairs
- Giuliano Armano (Department of Electrical and Electronic Engineering - University of Cagliari, Italy)
- Matteo Cristani (Department of Computer Science - University of Verona, Italy)

Publication Chair
- Alessandro Giuliani (Department of Electrical and Electronic Engineering - University of Cagliari, Italy)

Publicity Chair
- Claudio Tomazzoli (Department of Computer Science - University of Verona, Italy)

For any further information, check the website (http://www.iascgroup.it/kdweb2019), or send
an e-mail at the address: kdweb@iascgroup.it.

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