Report on the Fourth Workshop on Location and the Web (LocWeb 2014)

Author:

Ahlers Dirk1,Wilde Erik2,Martins Bruno3

Affiliation:

1. NTNU - Norwegian University of Science and Technology, Trondheim, Norway

2. Siemens, Berkeley, USA

3. ULisboa, IST and INESC-ID, Lisbon, Portugal

Abstract

Location is a major aspect behind many approaches in Information Retrieval, naturally appearing in diverse forms and as a cross-cutting topic. To give the location topic an adequate venue, LocWeb 2014 restarted a workshop series at the intersection of geospatial search, information management, and Web architecture, with a main focus on location-aware information access. LocWeb has in the past been a 'travelling' workshop, gathering views from different communities, but always centered on the topic of location. As previously, contributions to the workshop reflected a multitude of fields that demand and use location features and geospatial information, and LocWeb 2014 featured presentations that look at the topic of location on the Web from an interdisciplinary perspective. Reflecting this interdisciplinarity, LocWeb 2014 consisted of an interesting variety of contributions from a range of topics: one keynote, four long and two short papers, and a discussion session. This report gives an overview of the workshop and summarizes its major contributions.

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Management Information Systems

Reference12 articles.

1. Proceedings of the 4th International Workshop on Location and the Web - LocWeb '14

2. LocWeb'14 - 4th International Workshop on Location and the Web

3. C.-W. Chang Y.-C. Fan and A. Chen. On the Semantic Annotation of Daily Places: A Machine-Learning Approach. In {1}. 10.1145/2663713.2664424 C.-W. Chang Y.-C. Fan and A. Chen. On the Semantic Annotation of Daily Places: A Machine-Learning Approach. In {1}. 10.1145/2663713.2664424

4. GIR'13 workshop report: 7th ACM SIGSPATIAL Workshop on Geographic Information Retrieval Orlando, Florida, USA, 5th November 2013

5. S. Kufer and A. Henrich. Hybrid Quantized Resource Descriptions for Geospatial Source Selection. In {1}. 10.1145/2663713.2664428 S. Kufer and A. Henrich. Hybrid Quantized Resource Descriptions for Geospatial Source Selection. In {1}. 10.1145/2663713.2664428

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