Conference item
SemFacet: Making hard faceted search easier
- Abstract:
- Faceted search is a prominent search paradigm that became the standard in many Web applications and has also been recently proposed as a suitable paradigm for exploring and querying RDF graphs. One of the main challenges that hampers usability of faceted search systems especially in the RDF context is information overload, that is, when the size of faceted interfaces becomes comparable to the size of the data over which the search is performed. In this demo we present (an extension of) our faceted search system SemFacet and focus on features that address the information overload: ranking, aggregation, and reachability. The demo attendees will be able to try our system on an RDF graph that models online shopping over a catalogs with up to millions of products.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
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(Preview, Accepted manuscript, pdf, 1.7MB, Terms of use)
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- Publisher copy:
- 10.1145/3132847.3133192
Authors
- Publisher:
- Association for Computing Machinery
- Host title:
- 26th ACM International Conference on Information and Knowledge Management (CIKM 2017)
- Journal:
- 26th ACM International Conference on Information and Knowledge Management (CIKM 2017) More from this journal
- Publication date:
- 2017-11-01
- Acceptance date:
- 2017-08-06
- DOI:
- ISBN:
- 9781450349185
- Keywords:
- Pubs id:
-
pubs:730811
- UUID:
-
uuid:6cdf5a46-5792-471d-a1f5-43019591a877
- Local pid:
-
pubs:730811
- Source identifiers:
-
730811
- Deposit date:
-
2017-09-27
Terms of use
- Copyright holder:
- Association for Computing Machinery
- Copyright date:
- 2017
- Notes:
- © 2017 ACM. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
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