1,720,997 research outputs found
A semantic approach to reachability matrix computation
Full text linkThe Cyber Security is a crucial aspect of networks management. The Reachability Matrix computation is one of the main challenge in this field. This paper presents an intelligent solution in order to address the Reachability Matrix computational proble
Two populations of BFU-Es in Paroxysmal Nocturnal Hemoglobinuria
No full textWe have grown erythroid cell colonies from two patients with paroxysmal nocturnal hemoglobinuria (PNH). At 11 to 13 days, individual bursts were picked and incubated for 24 hours with 3H-leucine in order to label total cell protein (mainly hemoglobin). After appropriate washing, each burst was subjected to a miniaturized acidified serum test, and lysis was measured by the release of radioactivity. In bursts from normal controls, lysis was 19% +/- 13% SD. By contrast, of 58 bursts from PNH patients, 14 had lysis similar to that of controls (mean 15.4% +/- 10.6%), while 44 had lysis ranging from 42.2% to 85.8% (mean 70.3% +/- 10.4%). Colonies sensitive to acidified serum were acetylcholinesterase (AchE) negative, whereas normal colonies were AchE-positive. Thus, based on two independent criteria, a dual population of erythroid burst-forming units (BFU-E) can be demonstrated in PNH. These data confirm directly the somatic mutation model of the pathogenesis of PNH, and by these methods the relative sizes of the normal and the PNH cell populations can be measured at the level of the erythroid cell precursors
Application of a Semantic Search Algorithm to Semi-Automatic GUI Generation
Full text linkThe Semantic Search research field aims to query metadata and to identify relevant subgraphs. While in traditional search engines queries are composed by lists of keywords connected through boolean operators, Semantic Search instead, requires the submission of semantic queries that are structured as a graph of concepts, entities and relations. Submission of this graph is however not trivial as while a list of keywords of interest can be provided by any user, the formulation of semantic queries is not easy as well.
One of the main challenges of RDF Browsers lies in the implementation of interfaces that allow the common user to submit semantic queries by hiding their complexity. Furthermore a good semantic search algorithm is not enough to fullfil user needs, it is worthwhile to implement visualization methods which can support users in intuitively understanding why and how the results were retrieved. In this paper we present a novel solution to query RDF datasets and to browse the results of the queries in an appealing manner
Semi-automatic generation of GUIs for RDF browsing
No full textIn this paper we present a novel approach to browsing RDF Data on the web . Our approach is based on automatic generation of GUIs for RDF data. Our objective is to provide a methodology able to apply the existing pattern chosen from users of representation at an RDF repository and generate automatically a GUI that show this data to the users
STIA: experience of semantic annotation in jurisprudence domain
No full textIn this work we present STIA: a tool for semantic annotation in the Jurisprudence domain. The tool offers an easy interface to domain experts (lawyers, administrative, researchers,…) for annotating relationships of pertinence between portions of text from different laws covering similar topics/circumstances/events. These annotations both constitute a resource on their own (which can be used inside semantic search engines to easily retrieve related laws) as well as a precious feed for tools aiming at automatically extracting more of the above relationships
Semantic Turkey: A browser-integrated environment for knowledge acquisition and management
Full text linkSemantic Turkey - A new Web experience in between ontology editing and semantic annotation
No full textIn this work we describe Semantic Turkey, a Semantic Extension for the popular web browser Mozilla Firefox. Semantic Turkey can be used to keep track of relevant information from visited web sites and organize collected content according to a personally defined ontology. In this sense, Semantic Turkey can be seen both as an advanced semantic bookmarking system as well as an ontology editing assistant, which allows domain experts and ontology developers to build ontologies starting from the very raw source of information which they find on the web. The open architecture of Semantic Turkey and the specific three-layered approach of its design also allows for scaling the basic personal desktop application embodied by this tool up to a distributed framework for collaborative semantic annotation and ontology editing. This paper describes the architecture and the functionalities of the Semantic Turkey extension for Firefox, and describe possible evolutions for future improvement of the tool
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