Abstract NoSQL systems rose alongside internet companies, which have different challenges in dealing with data that the traditional RDBMS solutions could not cope with. Indeed, in order to handle efficiently the continuous growth of data, NoSQL technologies feature dynamic horizontal scaling rather than vertical scaling. To date few studies address On-Line Analytical Processing challenges and solutions using NoSQL systems. In this... NoSQL systems rose alongside internet companies, which have different challenges in dealing with data that the traditional RDBMS solutions could not cope with. Indeed, in order to handle efficiently the continuous growth of data, NoSQL technologies feature dynamic horizontal scaling rather than vertical scaling. To date few studies address On-Line Analytical Processing challenges and solutions using NoSQL systems. In this paper, we first overview NoSQL and adjacent technologies, then discuss analytics challenges in the cloud, and propose a taxonomy for a decision-support system workload, as well as specific analytics scenarios. The proposed scenarios aim at allowing best performances, best availability and tradeoff between space, bandwidth and computing overheads. Finally, we evaluate Hadoop/Pig using TPC-H benchmark, under different analytics scenarios, and report thorough performance tests on Hadoop for various data volumes, workloads, and cluster’ sizes. Read More Read Less

Abstract Semantic indexing process in information retrieval systems seems to be a fundamental treatment. It consists to identify in document content and for a given context, a set of particularly relevant keywords called index terms. The complexity of this process comes from the dynamic and heterogeneous nature of information resources. Currently most search systems developed for information retrieval are based on... Semantic indexing process in information retrieval systems seems to be a fundamental treatment. It consists to identify in document content and for a given context, a set of particularly relevant keywords called index terms. The complexity of this process comes from the dynamic and heterogeneous nature of information resources. Currently most search systems developed for information retrieval are based on vector representations like the space vector model, others use various statistical and / or probabilistic approach. Generally, for a given user need, the documents retrieved are not relevant for the context search, because the precision feature is partial (presence of noise), and furthermore other relevant documents will never be found as effect of a low recall measurement (presence of silence). Our work aims to propose an approach to complete a full semantic annotation on textual documents largely used for exchanging and sharing information on the web. We will use a multi agents system to reproduce the concepts of autonomy, cooperation and communication which are inherent to this type of systems. Our model is based on knowledge domain ontology, especially it is used to generate the annotations as sets of concepts, relationships and RDF triples (concept, concept, relation) carried in a conceptual graph formalism.Therefore the semantic index sets for the web agents the documents semantics to hold and perform web services. Read More Read Less

Abstract This manuscript reviews a developed software application i.e. I-SOAS, providing conceptual as well as partial prototype support in implementing an intelligent semantic oriented solution towards the problems of multirole user interface, meta data modeling and efficient information extraction in (Desktop and Web based) Product Data Management (PDM) Systems. Going from a more general overview of the proposed approach, this manuscript... This manuscript reviews a developed software application i.e. I-SOAS, providing conceptual as well as partial prototype support in implementing an intelligent semantic oriented solution towards the problems of multirole user interface, meta data modeling and efficient information extraction in (Desktop and Web based) Product Data Management (PDM) Systems. Going from a more general overview of the proposed approach, this manuscript presents the developed desktop and web graphical user interface of I-SOAS in detail. Going into the details, this manuscript presents each components of the developed prototype to help user in getting familiar in shortest possible time. Furthermore the information about tools and technologies (e.g. Rich Internet Application, Semantic Web, Object Oriented Programming Languages and Database etc.) used during the software development is briefly described. Read More Read Less