Topic
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.
Papers published on a yearly basis
Papers
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TL;DR: The research field of geospatial semantics is outlined, major research directions and trends are highlighted, and a glance at future challenges are glance at.
Abstract: The Geosciences and Geography are not just yet another application area for semantic technologies. The vast heterogeneity of the involved disciplines ranging from the natural sciences to the social sciences introduces new challenges in terms of interoperability. Moreover, the inherent spatial and temporal information components also require distinct semantic approaches. For these reasons, geospatial semantics, geo-ontologies, and semantic interoperability have been active research areas over the last 20 years. The geospatial semantics community has been among the early adopters of the Semantic Web, contributing methods, ontologies, use cases, and datasets. Today, geographic information is a crucial part of many central hubs on the Linked Data Web. In this editorial, we outline the research field of geospatial semantics, highlight major research directions and trends, and glance at future challenges. We hope that this text will be valuable for geoscientists interested in semantics research as well as knowledge engineers interested in spatiotemporal data.
144 citations
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TL;DR: This work defines the semantics for a relevant subset of DAML-S in terms of a first-order logical language and provides decision procedures for Web service simulation, verification and composition.
144 citations
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22 Jul 2007TL;DR: The problem of errors in mappings is addressed by proposing a completely automatic debugging method that uses logical reasoning to discover and repair logical inconsistencies caused by erroneous mappings.
Abstract: Automatically discovering semantic relations between ontologies is an important task with respect to overcoming semantic heterogeneity on the semantic web. Existing ontology matching systems, however, often produce erroneous mappings. In this paper, we address the problem of errors in mappings by proposing a completely automatic debugging method for ontology mappings. The method uses logical reasoning to discover and repair logical inconsistencies caused by erroneous mappings. We describe the debugging method and report experiments on mappings submitted to the ontology alignment evaluation challenge that show that the proposed method actually improves mappings created by different matching systems without any human intervention.
144 citations
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TL;DR: This paper presents a model of Semantic Annotations for Web Services Discovery and its Composition that uses an inter-connected network of semantic Web services describing in OWL-S, using the similarity measure between concepts based on ontology, built before any submitted request.
144 citations
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TL;DR: The requirements coming from different application scenarios are identified, and the problems they pose are isolated, and a research agenda is drawn to guide the future research and development of stream reasoning is drawn.
144 citations