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PROFILES & DATA 2018 - International Workshop on Profiling and Searching Data on the Web

Date2018-04-24

Deadline2018-01-24

VenueLyon, France France

Keywords

Websitehttps://profiles-datasearch.github.io/2018

Topics/Call fo Papers

The web of data has seen tremendous growth recently. New forms of structured data have emerged in the form of web markup, such as schema.org, and a large amount of data in web tables. Considering these rich, heterogeneous and evolving data sources which cover a wide variety of domains, the exploitation of web data becomes increasingly important in the context of various applications, including (federated) search, question answering and fact verification.
The objective of this workshop is to bring together researchers and practitioners interested in the development of data search techniques, data profiling, and dataset retrieval on the web. This includes looking at the specifics of data-centric information seeking behaviour, understanding interaction challenges in data search on the web, and analysing the cognitive processes involved in the consumption of structured data by users. At the same time we aim to discuss technologies addressing data search – including semantics, information retrieval for web data (ranking algorithms and indexing), in particular in the context of decentralised and distributed systems, such as the web. We are interested in approaches to analyse, characterise and discover data sources. We want to facilitate a discussion around data search across formats and domain-specific applications.
We envision the workshop as a forum for researchers and practitioners to come together and discuss common challenges and identify synergies for joint initiatives. We welcome contributions describing technical approaches, as well as those related to Human Computer Interaction research in data discovery, profiling and retrieval.
Topics and Themes
PROFILES & DATA:SEARCH ’18 seeks application-oriented papers, as well as more theoretical papers and position papers. The workshop proposes a multidisciplinary discussion on the following themes, with a focus on RDF, CSV, JSON and other structured and semi-structured datasets:
Data Search
Dataset retrieval
Search results presentation for datasets
Semantic dataset search
Evaluation of dataset search tools and algorithms
Decentralised and distributed architectures and algorithms in data search
Fusing, cleaning, ranking and refining search results
Approaches to personalisation in dataset search
Scalability & performance of distributed data queries
Query routing taking into account relevance, quality and profiles of distributed datasets
Data Profiling
Dataset profile representation (vocabularies, schemas)
Profiling and assessment of novel forms of entity-centric Web data
Data summarisation
Data quality analysis for query routing
Novel applications using dataset profiles
Topic profiling of datasets
Dataset indexing and profiling approaches
Human Data Interaction
Information seeking behaviour for data
User modeling for data search
Analysing behavioral traces during data search
Usability of data portals and data discovery tools
Data search result presentation to support sense making

Last modified: 2017-12-21 15:41:52