616 research outputs found
Conceptual Linking: Ontology-based Open Hypermedia
This paper describes the attempts of the COHSE project to define and deploy a Conceptual Open Hypermedia Service. Consisting of • an ontological reasoning service which is used to represent a sophisticated conceptual model of document terms and their relationships; • a Web-based open hypermedia link service that can offer a range of different link-providing facilities in a scalable and non-intrusive fashion; and integrated to form a conceptual hypermedia system to enable documents to be linked via metadata describing their contents and hence to improve the consistency and breadth of linking of WWW documents at retrieval time (as readers browse the documents) and authoring time (as authors create the documents)
Conceptual Linking: Ontology-based Open Hypermedia
This paper describes the attempts of the COHSE project to define and deploy a Conceptual Open Hypermedia Service. Consisting of • an ontological reasoning service which is used to represent a sophisticated conceptual model of document terms and their relationships; • a Web-based open hypermedia link service that can offer a range of different link-providing facilities in a scalable and non-intrusive fashion; and integrated to form a conceptual hypermedia system to enable documents to be linked via metadata describing their contents and hence to improve the consistency and breadth of linking of WWW documents at retrieval time (as readers browse the documents) and authoring time (as authors create the documents)
A review of data visualization: opportunities in manufacturing sequence management.
Data visualization now benefits from developments in technologies that offer innovative ways of presenting complex data. Potentially these have widespread application in communicating the complex information domains typical of manufacturing sequence management environments for global enterprises. In this paper the authors review the visualization functionalities, techniques and applications reported in literature, map these to manufacturing sequence information presentation requirements and identify the opportunities available and likely development paths. Current leading-edge practice in dynamic updating and communication with suppliers is not being exploited in manufacturing sequence management; it could provide significant benefits to manufacturing business. In the context of global manufacturing operations and broad-based user communities with differing needs served by common data sets, tool functionality is generally ahead of user application
Big Data Testing Techniques: Taxonomy, Challenges and Future Trends
Big Data is reforming many industrial domains by providing decision support
through analyzing large data volumes. Big Data testing aims to ensure that Big
Data systems run smoothly and error-free while maintaining the performance and
quality of data. However, because of the diversity and complexity of data,
testing Big Data is challenging. Though numerous research efforts deal with Big
Data testing, a comprehensive review to address testing techniques and
challenges of Big Data is not available as yet. Therefore, we have
systematically reviewed the Big Data testing techniques evidence occurring in
the period 2010-2021. This paper discusses testing data processing by
highlighting the techniques used in every processing phase. Furthermore, we
discuss the challenges and future directions. Our findings show that diverse
functional, non-functional and combined (functional and non-functional) testing
techniques have been used to solve specific problems related to Big Data. At
the same time, most of the testing challenges have been faced during the
MapReduce validation phase. In addition, the combinatorial testing technique is
one of the most applied techniques in combination with other techniques (i.e.,
random testing, mutation testing, input space partitioning and equivalence
testing) to find various functional faults through Big Data testing.Comment: 32 page
Logic Programming Applications: What Are the Abstractions and Implementations?
This article presents an overview of applications of logic programming,
classifying them based on the abstractions and implementations of logic
languages that support the applications. The three key abstractions are join,
recursion, and constraint. Their essential implementations are for-loops, fixed
points, and backtracking, respectively. The corresponding kinds of applications
are database queries, inductive analysis, and combinatorial search,
respectively. We also discuss language extensions and programming paradigms,
summarize example application problems by application areas, and touch on
example systems that support variants of the abstractions with different
implementations
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