Semantic Web

About: Semantic Web is a research topic. Over the lifetime, 26987 publications have been published within this topic receiving 534275 citations. The topic is also known as: Sem Web & SemWeb.

Concept abduction and contraction for semantic-based discovery of matches and negotiation spaces in an e-marketplace

Abstract: In this paper we present a Description Logic approach to extended matchmaking between Demands and Supplies in an Electronic Marketplace, which allows the semantic-based treatment of negotiable and strict requirements in the description.To this aim we exploit two novel non-standard Description Logic inference services, Concept Contraction -which extends satisfiability-and Concept Abduction -which extends subsumption.Based on these services we devise algorithms to find negotiation spaces and to determine the quality of a possible match, also in the presence of a distinction between strictly required and optional elements.

Characterizing knowledge on the semantic web with Watson

Abstract: Watson is a gateway to the Semantic Web: it collects, analyzes and gives access to ontologies and semantic data available online with the objective of supporting their dynamic exploitation by semantic applications. We report on the analysis of 25 500 ontologies and semantic documents collected by Watson, giving an account about the way semantic technologies are used to publish knowledge on the Web, about the characteristics of the published knowledge, and about the networked aspects of the Semantic Web. Our main conclusions are 1that the Semantic Web is characterized by a large number of small, lightweight ontologies and a small number of large-scale, heavyweight ontologies, and 2that important efforts still need to be spent on improving the published ontologies (coverage of different topic domains, connectedness of the semantic data, etc.) and the tools that produce and manipulate them.

Swoogle: searching for knowledge on the semantic web

Abstract: Swoogle is an implemented system that discovers, analyzes and indexes knowledge encoded in semantic web documents on the Web. Swoogle reasons about these documents and their constituent parts (e.g., terms and triples) and records meaningful metadata about them. Swoogle provides webscale semantic web data access service, which helps human users and software systems to find relevant documents, terms and triples, via its search and navigation services. Swoogle also provides a customizable algorithm inspired by Google's PageRank algorithm but adapted to the semantics and use patterns found in semantic web documents.

WARP: Workload-aware replication and partitioning for RDF

Abstract: With the increasing popularity of the Semantic Web, more and more data becomes available in RDF with SPARQL as a query language Data sets, however, can become too big to be managed and queried on a single server in a scalable way Existing distributed RDF stores approach this problem using data partitioning, aiming at limiting the communication between servers and exploiting parallelism This paper proposes a distributed SPARQL engine that combines a graph partitioning technique with workload-aware replication of triples across partitions, enabling efficient query execution even for complex queries from the workload Furthermore, it discusses query optimization techniques for producing efficient execution plans for ad-hoc queries not contained in the workload

F-OWL: an inference engine for semantic web

Abstract: Understanding and using the data and knowledge encoded in semantic web documents requires an inference engine. F-OWL is an inference engine for the semantic web language OWL language based on F-logic, an approach to defining frame-based systems in logic. F-OWL is implemented using XSB and Flora-2 and takes full advantage of their features. We describe how F-OWL computes ontology entailment and compare it with other description logic based approaches. We also describe TAGA, a trading agent environment that we have used as a test bed for F-OWL and to explore how multiagent systems can use semantic web concepts and technology.