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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...
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...
In previous works, we presented Cross Motif Search (CMS), an algorithm designed to explore new techniques in the field of protein motif retrieval and identification. The novelty of the CMS approach is to look for geometrical similarities in the secondary structures of proteins, instead of homologous topology. Put in other words, while the connections among different secondary structures are still...
Clustering, or unsupervised classification, is animportant issue in Bioinformatics. It serves to automaticallygroup protein sequences into families. Most researchers treatthe biclass clustering problem. In this paper we present ourapproach for the multiclass clustering of protein sequences. It isa difficult problem, because we are based on primary structure. This approach consists of four steps. In...
In this paper, we improve a computational conceptof logic-based consensus among agents that has been introducedrecently. A consensus is defined as a non-contradictoryfragment of the information conveyed by various agents suchthat this fragment does not logically conflict with any agent. In this study, we introduce an additional requirement to theconcept of consensus to avoid some paradoxical consensuses...
Repairs are updates to reduce inconsistency. Repair checking finds out if an update is a repair. To do so, we check if the undo of the update increases the amount of integrity violation, using measure-based integrity checking. Sound repair checking by integrity checking requires the latter to be complete. Repair checking by integrity checking compares well to conventional approaches.
The paper explores the connection between Soren Hallden's logic of nonsense (and its expansions) and Logics of Formal Inconsistency (LFIs), one of the main traditions in paraconsistency. Although not much attention has been payed by paraconsistentists, Hallden's logic can be nicely connected to LFIs. The main result of the paper is a reformulation of an expansion of logic of nonsense studied by Lennart...
The protocols underlying large-scale geo-replicated storage systems implement a wide spectrum of transactional consistency criteria. These protocols typically execute in two phases: ● In the Execution phase, a transaction reads from a database snap-shot and buffers its updates. ● In the Termination phase, a multicast/2PC protocol commits updates atomically while performing a so-called certification...
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