Querying graph databases
P Barceló Baeza - Proceedings of the 32nd ACM SIGMOD-SIGACT …, 2013 - dl.acm.org
Graph databases have gained renewed interest in the last years, due to its applications in
areas such as the Semantic Web and Social Networks Analysis. We study the problem of …
areas such as the Semantic Web and Social Networks Analysis. We study the problem of …
Query languages for graph databases
PT Wood - ACM Sigmod Record, 2012 - dl.acm.org
Query languages for graph databases started to be investigated some 25 years ago. With
much current data, such as linked data on the Web and social network data, being graph …
much current data, such as linked data on the Web and social network data, being graph …
Network-based modeling and intelligent data mining of social media for improving care
A Akay, A Dragomir… - IEEE journal of biomedical …, 2014 - ieeexplore.ieee.org
Intelligently extracting knowledge from social media has recently attracted great interest from
the Biomedical and Health Informatics community to simultaneously improve healthcare …
the Biomedical and Health Informatics community to simultaneously improve healthcare …
Regular queries on graph databases
Graph databases are currently one of the most popular paradigms for storing data. One of
the key conceptual differences between graph and relational databases is the focus on …
the key conceptual differences between graph and relational databases is the focus on …
Fast range image segmentation by an edge detection strategy
AD Sappa, M Devy - … Third International Conference on 3-D …, 2001 - ieeexplore.ieee.org
This paper presents an edge-based segmentation technique that allows to process quickly
very large range images. The proposed technique consists of two stages. First, a binary …
very large range images. The proposed technique consists of two stages. First, a binary …
A novel data-mining approach leveraging social media to monitor consumer opinion of sitagliptin
A Akay, A Dragomir… - IEEE journal of biomedical …, 2013 - ieeexplore.ieee.org
A novel data mining method was developed to gauge the experience of the drug Sitagliptin
(trade name Januvia) by patients with diabetes mellitus type 2. To this goal, we devised a …
(trade name Januvia) by patients with diabetes mellitus type 2. To this goal, we devised a …
Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data
Abstract Background Next Generation Sequencing (NGS) is playing a key role in therapeutic
decision making for the cancer prognosis and treatment. The NGS technologies are …
decision making for the cancer prognosis and treatment. The NGS technologies are …
Towards a semantic web for bioinformatics using ontology-based annotation
P Lambrix - 14th IEEE International Workshops on Enabling …, 2005 - ieeexplore.ieee.org
Nowadays, biologists use biological data sources and tools to find relevant information for
their research. However, with the explosion of the amount of online accessible data and …
their research. However, with the explosion of the amount of online accessible data and …
[PDF][PDF] The biomediator system as a tool for integrating biologic databases on the web
R Shaker, P Mork, JS Brockenbrough… - Proceedings of the …, 2004 - researchgate.net
BioMediator is a data integration system tailored to the domain of molecular biology. Based
on our collaborations with biologic researchers, we have identified several challenges in …
on our collaborations with biologic researchers, we have identified several challenges in …
Assessing antidepressants using intelligent data monitoring and mining of online fora
A Akay, A Dragomir… - IEEE journal of biomedical …, 2016 - ieeexplore.ieee.org
Depression is a global health concern. Social networks allow the affected population to
share their experiences. These experiences, when mined, extracted, and analyzed, can be …
share their experiences. These experiences, when mined, extracted, and analyzed, can be …