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Now showing items 1-10 of 28
Separating the wheat from the chaff: Evaluating success determinants for online Q&A communities
(NUI Galway, 2017-05-15)
Researchers and community managers try to measure the success of online communities using a variety of success determinants, such as member activity, turnover and interaction. Although many success determinants have been ...
Identifying equivalent relation paths in knowledge graphs
(Springer Verlag, 2017-06-19)
Relation paths are sequences of relations with inverse that allow for complete exploration of knowledge graphs in a two-way unconstrained manner. They are powerful enough to encode complex relationships between entities ...
Regularizing knowledge graph embeddings via equivalence and inversion axioms
(Springer Verlag, 2017-12-30)
Learning embeddings of entities and relations using neural architectures is an effective method of performing statistical learning on large-scale relational data, such as knowledge graphs. In this paper, we consider the ...
Querying web polystores
(IEEE, 2017-12-11)
The database, semantic web, and linked data communities have proposed solutions that federate queries over multiple data sources using a single data model. Nowadays, the data retrieval requirements originating from versatile ...
Propagating data policies: a user study
(ACM, 2017-11-04)
When publishing data, data licences are used to specify the actions
that are permitted or prohibited, and the duties that target data
consumers must comply with. However, in complex environments
such as a smart city ...
An ontology-based approach to improve the accessibility of ROS-based robotic systems
(ACM, 2017-12-04)
The focus of this work is to exploit ontologies to make robotic
systems more accessible to non-expert users, therefore supporting
the deployment of robot-integrated applications. Due to the
increasing number of robotic ...
A deep learning approach to genomics data for population scale clustering and ethnicity prediction
(CEUR-WS.org, 2017-05-28)
The understanding of variations in genome sequences assists us in identifying
people who are predisposed to common diseases, solving rare diseases, and finding
corresponding population group of the individuals from a ...
The role of open data in driving sustainable mobility in nine smart cities
(Association for Information Systems, 2017-06-05)
In today’s era of globalization, sustainable mobility is considered as a key factor in the economic growth of any country. With the emergence of open data initiatives, there is tremendous potential to improve mobility. ...
Measuring accuracy of triples in knowledge graphs
(Springer, 2017-06-19)
An increasing amount of large-scale knowledge graphs have
been constructed in recent years. Those graphs are often created from
text-based extraction, which could be very noisy. So far, cleaning knowledge
graphs are ...
Classifying sentential modality in legal language: A use case in financial regulations, acts and directives
(ACM, 2017-06-12)
Texts expressed in legal language are often di cult and time consuming
for lawyers to read through, particularly for the purpose of
identifying relevant deontic modalities (obligations, prohibitions
and permissions). ...