47,582 research outputs found
XML Schema-based Minification for Communication of Security Information and Event Management (SIEM) Systems in Cloud Environments
XML-based communication governs most of today's systems communication, due to
its capability of representing complex structural and hierarchical data.
However, XML document structure is considered a huge and bulky data that can be
reduced to minimize bandwidth usage, transmission time, and maximize
performance. This contributes to a more efficient and utilized resource usage.
In cloud environments, this affects the amount of money the consumer pays.
Several techniques are used to achieve this goal. This paper discusses these
techniques and proposes a new XML Schema-based Minification technique. The
proposed technique works on XML Structure reduction using minification. The
proposed technique provides a separation between the meaningful names and the
underlying minified names, which enhances software/code readability. This
technique is applied to Intrusion Detection Message Exchange Format (IDMEF)
messages, as part of Security Information and Event Management (SIEM) system
communication hosted on Microsoft Azure Cloud. Test results show message size
reduction ranging from 8.15% to 50.34% in the raw message, without using
time-consuming compression techniques. Adding GZip compression to the proposed
technique produces 66.1% shorter message size compared to original XML
messages.Comment: XML, JSON, Minification, XML Schema, Cloud, Log, Communication,
Compression, XMill, GZip, Code Generation, Code Readability, 9 pages, 12
figures, 5 tables, Journal Articl
CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap
After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in
multimedia search engines, we have identified and analyzed gaps within European research effort during our second year.
In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio-
economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown
of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on
requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the
community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our
Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as
National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core
technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research
challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal
challenges
Correcting Knowledge Base Assertions
The usefulness and usability of knowledge bases (KBs) is often limited by quality issues. One common issue is the presence of erroneous assertions, often caused by lexical or semantic confusion. We study the problem of correcting such assertions, and present a general correction framework which combines lexical matching, semantic embedding, soft constraint mining and semantic consistency checking. The framework is evaluated using DBpedia and an enterprise medical KB
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