Location and geospatial analytics are important aspects in a wide range of Web research and systems. LocWeb 2020 will continue a successful workshop series at the intersection of location-based analytics and Web architecture. It focuses on Web-scale services and systems facilitating location-aware information access as well as spatial social behavior analytics as part of social computing. The location topic is seen as a cross-cutting issue equally concerning information access, semantics and standards, social analysis and mining, and Web-scale systems and services. It will explore the connection of the Web to the real physical and spatial world. We aim for a highly interactive, collaborative full day workshop with ample room for discussion and demos that will explore and advance the topic, with contributions from research and industry.

New application areas for Web architecture, such as the Internet of Things (IoT) and the Web of Things (WoT), will lead to increasingly rich and large sets of applications for which location is highly relevant as the connection to the physical world. Location has high importance in Web-based designs, and it continues to provide challenging research questions.

It plays important roles in large systems of social and societal importance, and we aim to explore this connection further under the topics of data science for social good and through ways to improve people’s lives.
Call for Papers

LocWeb will solicit submissions under the main theme of Web-scale Location-Aware Information Access and spatial social computing. Subtopics include (i) geospatial semantics, systems, and standards; (ii) large-scale geospatial and geo-social ecosystems; (iii) mobility; (iv) location in the Web of Things; and (v) mining and searching geospatial data on the Web. The workshop encourages work describing Web-mediated or Web-scale approaches that build on reliable foundations, and that thoroughly understand and embrace the geospatial dimension.
Topics

The topics are designed to reflect the multitude of fields that demand and utilize location data. We encourage submissions to take an interdisciplinary perspective at the topic of location on the Web.

Location-Aware Information Access
Spatial Social Behavior
Location-Aware Web-Scale Systems and Services
Location in the Internet/Web of Things
Geospatial Data Science for Social Good
Open Geospatial Web Data
Geospatial aspects of Smart Cities
Urban Planning and Citizen Engagement
Location prediction in social media and the Web
Influence modeling and processing in static and dynamic spatio-social graphs
Evaluation of frameworks, metrics and algorithms
Large-scale Geospatial Ecosystems
Standards for Location and Mobility Data
Modeling Location and Location Interaction
Location-Based Social Networks
Geospatial Web Search and Mining
Mobile Search and Location-Based Recommendation

Important Dates

Paper Submission Deadline: 20. Dec 2019 (23:59 AoE Anywhere on Earth)
Acceptance Notification: 20. Jan 2020
Final hard camera-ready: 17. Feb 2019
Workshop day: 20./21. April 2019
Submission instructions

We solicit full papers of 6-8 pages, and short papers of up to 4 pages describing work-in-progress or early results. Authors are invited to submit original, unpublished research that is not being considered for publication in any other forum. Workshop submissions will be evaluated based on the quality of the work, originality, match to the workshop themes, technical merit, and their potential to inspire interesting discussions. The review process is single blind, so please provide your name and affiliation.

Submissions should follow the ACM styles and guidelines of the WebConf conference proceedings, using the “sigconf” format. Accepted workshop papers will be published in the WWW companion proceedings and the ACM Digital Library. For inclusion in the proceedings, at least one author of the accepted paper has to register for the workshop and present the paper.

Presenters are encouraged to bring demos to the workshop, to facilitate discussion and make the workshop more interactive.