RDF Querying

Reactive Web systems, Web services, and Web-based publish/ subscribe systems communicate events as XML messages, and in many cases require composite event detection: it is not sufficient to react to single event messages, but events have to be considered in relation to other events that are received over time. Emphasizing language design and formal semantics, we describe the rule-based query language XChangeEQ for detecting composite events. XChangeEQ is designed to completely cover and integrate the four complementary querying dimensions: event data, event composition, temporal relationships, and event accumulation. Semantics are provided as model and fixpoint theories; while this is an established approach for rule languages, it has not been applied for event queries before

Atlas: Storing, updating and querying RDF(S) data on top of DHTs

The RDF(S) data model has been proposed for encoding metadata about Web resources. As more and more Web resources are annotated using RDF(S), there is an urgent need for efficiently dealing with this large volume of data. In this paper, we present Atlas, a peer-to-peer system for storing, updating and querying RDF(S) data. The Atlas system has been built using the distributed hash table Bamboo. Atlas was developed in the context of project OntoGrid, where it was used as a distributed repository for RDF(S) metadata describing Grid services and resources. The development of Atlas continues in other projects that our group participates currently. This paper gives an overview of the most recent version of Atlas and discusses a representative application. © 2010 Elsevier B.V. All rights reserved

Değişici epitel hücreli mesane tümörlü olgularımız; yaş, cinsiyet ve tümör derecesi dağılımı.

Concurrent fine grained updates are essential for using RDF stores in dynamic modern Web applications, where users increasingly contribute content as often as they read content. SPARQL Update is a language proposed by the W3C for fine grained updates for RDF stores. In this work we propose an operational semantics for an update language for RDF, which models core features of SPARQL Update. Firstly, an abstract syntax for RDF and updates is presented. Secondly, the operational semantics is defined using relations over the abstract syntax. The operational semantics specifies all possible operational behaviours of updates in the presence of an RDF store. The specification is useful as a common reference for compiler engineers and as a foundation for the static analysis of updates