Search-based application

Abstract: Methods for creating a search framework that provides a semantic interface for searching transactional applications are disclosed. According to one aspect of the present invention, a method for enabling at least one transactional application to be searched includes creating a canonical object associated with the transactional application and indexing data associated with the transaction application. The method also includes creating an index store using information associated with the canonical object. The index store is associated with the indexed data. Finally, a semantic engine is interfaced with the index store.

Abstract: Big data storage and processing are considered as one of the main applications for cloud computing systems. Furthermore, the development of the Internet of Things (IoT) paradigm has advanced the research on Machine to Machine (M2M) communications and enabled novel tele-monitoring architectures for E-Health applications. However, there is a need for converging current decentralized cloud systems, general software for processing big data and IoT systems. The purpose of this paper is to analyze existing components and methods of integrating big data processing with cloud M2M systems based on Remote Telemetry Units (RTUs) and to propose a converged E-Health architecture built on Exalead CloudView, a search based application. Finally, we discuss the main findings of the proposed implementation and future directions.

Abstract: 1. THE PHAROS PLATFORM AND DEMO PHAROS [1] is an Integrated Project aimed at building a platform for advanced audiovisual search applications. The Consortium comprises 12 partners from 9 European countries. PHAROS unbundles the functionalities of an audiovisual search engine into an open service-based ecosystem, where content can be submitted to customized analysis pipelines, third-party annotation components can be plugged-in, and content based search engines can be registered. PHAROS enables a variety of application scenarios, from content acquisition and enrichment, to annotation fusion, to multi-modal queries. Figure 1 shows the architecture of PHAROS, which supports two main process: Content Caption and Refinement (CCR) executes flow of operators on the captured content and produces XML metadata (subsequently indexed by a core XML search engine) and derived artifacts(used for similarity querying and result presentation); Query Execution and Result Presentation (QUIRP) accepts a user’s query (by keyword, by image similarity, by audio similarity, by video similarity), expands it with user’s profile and social information, brokers its execution on the registered search engines, and presents results in a Rich Internet Interface. The demo exploits the online access to the PHAROS platform for an in-depth tour of: content acquisition, design and

Abstract: This position paper outlines a staged approach to search-based application security testing. In the first stage one searches for candidate tests in the input space that have a chance of leading to good security tests. In the second stage one selects individual candidates and uses them to select and parametrize specialized search techniques. This approach has its roots in exploratory security testing. In the first stage, the fitness of tests depends on their ability to provoke vulnerability symptoms at all, and on their relation to other tests in a test suite. In the second stage, the fittest tests are those that come closest to an exploit of a specific type of vulnerability. To evaluate the performance of such a staged approach one might use web application vulnerability scanners as a baseline.