5 research outputs found
DATA:SEARCH'18 -- Searching Data on the Web
This half day workshop explores challenges in data search, with a particular
focus on data on the web. We want to stimulate an interdisciplinary discussion
around how to improve the description, discovery, ranking and presentation of
structured and semi-structured data, across data formats and domain
applications. We welcome contributions describing algorithms and systems, as
well as frameworks and studies in human data interaction. The workshop aims to
bring together communities interested in making the web of data more
discoverable, easier to search and more user friendly
Dataset search: a survey
Generating value from data requires the ability to find, access and make
sense of datasets. There are many efforts underway to encourage data sharing
and reuse, from scientific publishers asking authors to submit data alongside
manuscripts to data marketplaces, open data portals and data communities.
Google recently beta released a search service for datasets, which allows users
to discover data stored in various online repositories via keyword queries.
These developments foreshadow an emerging research field around dataset search
or retrieval that broadly encompasses frameworks, methods and tools that help
match a user data need against a collection of datasets. Here, we survey the
state of the art of research and commercial systems in dataset retrieval. We
identify what makes dataset search a research field in its own right, with
unique challenges and methods and highlight open problems. We look at
approaches and implementations from related areas dataset search is drawing
upon, including information retrieval, databases, entity-centric and tabular
search in order to identify possible paths to resolve these open problems as
well as immediate next steps that will take the field forward.Comment: 20 pages, 153 reference