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OASSIS
2014
Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14
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Our approach is based on (1) a simple generic model that captures both ontological knowledge as well as the individual history or habits of crowd members from which frequent patterns are mined; (2) a query ...
language in which users can declaratively specify their information needs and the data patterns of interest; (3) an efficient query evaluation algorithm, which enables mining semantically concise answers ...
OASSIS extends previous query-driven crowdsourcing platforms, e.g. [19, 21, 25, 31, 34] , by enabling users to mine the crowd for significant data patterns. ...
doi:10.1145/2588555.2610514
dblp:conf/sigmod/AmsterdamerDMNS14
fatcat:36jmfq3fdfdlndr5vkznneza5q
Ontology assisted crowd mining
2014
Proceedings of the VLDB Endowment
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We will demonstrate OASSIS using a couple of real-life scenarios, showing how users can formulate and execute queries through the OASSIS UI and how the relevant data is mined from the crowd. ...
We present OASSIS (for Ontology ASSISted crowd mining), a prototype system which allows users to declaratively specify their information needs, and mines the crowd for answers. ...
For the latter, we employ techniques developed in our previous work [1] , but query-driven crowd mining is a new development. ...
doi:10.14778/2733004.2733039
fatcat:fk3votc25nclnpip3hw3ieruwy
A Hybrid Approach to Perform Efficient and Effective Query Execution Against Public SPARQL Endpoints
2015
Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion
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Linked Open Data initiatives have fostered the publication of Linked Data sets, as well as the deployment of publicly available SPARQL endpoints as client-server querying infrastructures to access these ...
We tackle these problems and propose a novel hybrid architecture that relies on shipping policies to improve the performance of SPARQL endpoints, and exploits human and machine query processing computation ...
OASSIS provides a SPARQLlike query language where users specify sub-queries that will be evaluated against the ontology and the ones that will be mined from the crowd. ...
doi:10.1145/2740908.2741750
dblp:conf/www/Acosta15
fatcat:ee4wsnedv5fcdelsajhaoooflq
RDF-Hunter: Automatically Crowdsourcing the Execution of Queries Against RDF Data Sets
[article]
2015
arXiv
pre-print
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crowd. ...
We develop a novel quality model and query engine in order to enable RDF-Hunter to on the fly decide which parts of a query should be executed through conventional technology or crowd computing. ...
OASSIS provides a SPARQL-like query language where users specify sub-queries that will be evaluated against the ontology and the ones that will be mined from the crowd. ...
arXiv:1503.02911v1
fatcat:hvnwe7d4jnebjkfx3rmsxzmkt4
Crowdsourced Data Management: A Survey
2016
IEEE Transactions on Knowledge and Data Engineering
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., the crowd) to apply human computation for such tasks. Thus, crowdsourced data management has become an area of increasing interest in research and industry. ...
important problems in crowdsourced data management. (1) Quality Control: Workers may return noisy or incorrect results so effective techniques are required to achieve high quality; (2) Cost Control: The crowd ...
OASSIS contains a query language called OASSIS-QL (based on the SPARQL), and it asks requesters to formulate the query using the provided tools. ...
doi:10.1109/tkde.2016.2535242
fatcat:sit3comyvra4djqkl4xre3kj24
Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing
2017
Social Science Research Network
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crowd answers about missing values in the RDF dataset; (3) a query engine that combines on-the-fly crowd knowledge and estimates provided by the RDF completeness model, to decide upon the sub-queries ...
We acquire query answer completeness by capturing knowledge collected from the crowd, and propose a novel hybrid query processing engine that brings together machine and human computation to execute SPARQL ...
OASSIS [7] is a recommendation system that mines frequent patterns from personal data collected via crowdsourcing. Patterns to mine are specified in OASSIS-QL, a SPARQL-like language. ...
doi:10.2139/ssrn.3199306
fatcat:72qyebbyibgkjnxoziy5touyni
Enhancing answer completeness of SPARQL queries via crowdsourcing
2017
Journal of Web Semantics
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crowd answers about missing values in the RDF dataset; (3) a query engine that combines on-the-fly crowd knowledge and estimates provided by the RDF completeness model, to decide upon the sub-queries ...
We acquire query answer completeness by capturing knowledge collected from the crowd, and propose a novel hybrid query processing engine that brings together machine and human computation to execute SPARQL ...
OASSIS [7] is a recommendation system that mines frequent patterns from personal data collected via crowdsourcing. Patterns to mine are specified in OASSIS-QL, a SPARQL-like language. ...
doi:10.1016/j.websem.2017.07.001
fatcat:kowyty7zh5aezevgw6z5akcbxm
Dagstuhl Reports, Volume 6, Issue 4, April 2016, Complete Issue
[article]
2016
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Crowd-driven annotation? We experimented with crowd-driven annotation of the Parliamentary debates to create training and test data. ...
This tutorial introduces the notion of crowd mining and describes a generic architecture for crowd mining applications. ...
This will make it possible to shift from a supply driven to a demand driven public transport system. Several questions are raised (e.g. How many vehicles are necessary? How to route the vehicles? ...
doi:10.4230/dagrep.6.4
fatcat:27bnit22ive7hplns57eoojqtm