SHORE (Scalable Heterogeneous Object REpository) is a persistent object system under development at the University of Wisconsin. SHORE represents a merger of objectoriented database and file system technologies. In this paper we give the goals and motivation for SHORE, and describe how SHORE

on the Mercury protocol can be used to construct a distributed object repository providing efficient and scalable object lookups and updates. By providing applications a range-based query language to express their subscriptions to object updates, Mercury considerably simplifies distributed state management. Our

for heterogeneous and dynamic clusters of unreliable object storage devices (OSDs). We leverage device intelligence by distributing data replication, failure detection and recovery to semi-autonomous OSDs running a specialized local object file system. A dynamic distributed metadata cluster provides extremely

. We discuss a scalable approach for vocabulary sharing. The objects in the repositories are represented as intensional descriptions by pre-existing ontologies expressed in Description Logics characterizing information in different domains. User queries are rewritten by using interontologyrelationships

-front definition of RDF schemas and designation of super peers. We present a scalable distributed RDF repository ("RDFPeers") that stores each triple at three places in a multi-attribute addressable network by applying globally known hash functions to its subject, predicate, and object. Thus, all nodes

it the leading candidate for a universal markup language. XML provides a way to label information from diverse data sources including structured and semi-structured documents, relational databases, and object repositories. Several XML-based query languages have been proposed, each oriented toward a specific

Rapid growth in data volume, user base, and data diversity render Internet-accessible information increasingly difficult to use effectively. In this paper we introduce Harvest, a system that provides an integrated set of customizable tools for gathering information from diverse repositories

languages designed for well structured data are inappropriate in such environments. Starting with a "lightweight" object model adopted for the TSIMMIS project at Stanford, in this paper we describe a query language and object repository designed specifically for semistructured data. Our language

In this paper we present a scalable distributed ontology storage system (OntStore), which unlike other ontology repositories is capable of storing and querying the ontologies and the resource descriptions in a distributed manner. It is based on the distributed hash table (DHT) approach emerging

Abstract. We present hoc: a fast, scalable object repository providing programmers with a general storage module. hoc may be used to implement DSMs as well as distributed cache subsystems. hoc is composed of a set of hot-pluggable cooperating processes that may sustain a close to optimal network