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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 ...
Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series
(2017-03-13)
The large number of tweets generated daily is providing policy makers with means to obtain insights into recent events around the globe in near real-time. The main barrier for extracting such insights is the impossibility ...
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 ...
Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data
(BioMed Central, 2017-09-19)
Next Generation Sequencing (NGS) is playing a key role in therapeutic decision making for the cancer prognosis and treatment. The NGS technologies are producing a massive amount of sequencing datasets. Often, these datasets ...
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 ...
Improving data workflow systems with cloud services and use of open data for bioinformatics research
(Oxford University Press, 2017-04-16)
Data workflow systems (DWFSs) enable bioinformatics researchers to combine components for data access and data analytics, and to share the final data analytics approach with their collaborators. Increasingly, such systems ...