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Finding the best matching job offers for a candidate profile or, the best candidates profiles for a particular job offer, respectively constitutes the most common and most relevant type of queries in the Human Resources (HR) sector. This technically requires to investigate top-k queries on top of knowledge bases and relational databases. We propose in this paper a top-k query algorithm on relational...
Extracting and accessing knowledge in a KnowledgeBase is a crucial task. Documents must be computationallyunderstood and transformed into accessible knowledge. Specifically, the farming industry has a notable importance due tothe wide variety of information from text documents that needto be interpreted, often by a human. These documents, oftenrelates to regulations, chemicals, seeds and fertilizers...
In this paper we present a software architecture for a Knowledge Management and Processing Framework initially for usage in the agricultural domain, but customizable for any domain. In contrast to existing Knowledge Management and Processing Systems, this proposed architecture mainly focuses on the usage of a cloud platform as execution environment and therefore pays special attention to the design...
This paper quantifies the scalability of a document store named MongoDB and an extensible store named HBase for processing simple operations using a social networking benchmark named BG (www.bgbenchmark.org). We report on the vertical and the horizontal scalability of both data stores. We quantify speedup and scaleup characteristics of each data store's Social Action Rating (SoAR). SoAR is the highest...
We propose the client-side AES256 encryption for a cloud SQL DB. We trust the safety of the cloud DBS run-time values, e.g., through a moving target defense. The client may send AES key(s) with the query. These become run-time values for on-the-fly decryption of ciphertext into plaintext for query evaluation. The DBS clears all these values at the query end at latest. The scheme functionally offers...
In knowledge processing systems, data is gathered from several sources, in the system, some calculating and processing steps are taken, and finally a result is computed and may be used for further steps or other systems. Most of the time the origin of input data is not verified. Using unverified data may cause inconsistencies in processing and generating output, and could lead to corrupting threats...
Proteins are generally long chains and consist of multiple domains. Domains are distinct structural units of a protein that can evolve and function independently. The accurate and reliable identification of protein domains is a fundamental stage in protein tertiary structure prediction. It not only gives insight into the way proteins work and therefore enhance medicine and drug development, but also...
Diabetes is a leading health problem inthe developed world. The recent surge of wealth inQatar has made it one of the most vulnerable nationsto diabetes and related diseases. Recent technologicaladvances in 1H nuclear magnetic resonance (NMR) spectroscopy techniques for metabolomics profilingoffer a great opportunity for biomarkers discovery tobetter understand the disease. Using this technology,...
Identifying variant combination association with disease is a bioinformatics challenge. This problem can be solved by discriminative pattern mining that use statistical function to evaluate the significance of individual biological patterns. There is a wide range of such measures. However, selecting an appropriate measure as well as a suitable threshold in some specific practical situations is a difficult...
Due to the great advances of Next Generation Sequencing (NGS) techniques, bioinformaticians are faced with large amounts of genomic and clinical data, which are growing exponentially. A striking example is The Cancer Genome Atlas (TCGA), whose aim is to provide a comprehensive archive of biomedical data about tumors. Indeed, TCGA contains more than 15 TB of genomic and clinical data, whose analysis...
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