Search (345 results, page 2 of 18)

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Series

Communications in computer and information science; 672

Theme

Semantic Web

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Abstract

This article discusses how various controlled vocabularies, classification schemes and thesauri can serve as some of the building blocks of the Semantic Web. These vocabularies have been developed over the course of decades, and can be put to great use in the development of robust web services and Semantic Web technologies. The article covers how initial collaboration between the Semantic Web, Library and Metadata communities are creating partnerships to complete work in this area. It then discusses some cores principles of authority control before talking more specifically about subject and genre vocabularies and name authority. It is hoped that future systems for internationally shared authority data will link the world's authority data from trusted sources to benefit users worldwide. Finally, the article looks at how encoding and markup of vocabularies can help ensure compatibility with the current and future state of Semantic Web development and provides examples of how this work can help improve the findability and navigation of information on the World Wide Web.

Footnote

Simultaneously published as Knitting the Semantic Web

Theme

Semantic Web

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Abstract

The Web Ontology Language OWL is a semantic markup language for publishing and sharing ontologies on the World Wide Web. OWL is developed as a vocabulary extension of RDF (the Resource Description Framework) and is derived from the DAML+OIL Web Ontology Language. This document contains a structured informal description of the full set of OWL language constructs and is meant to serve as a reference for OWL users who want to construct OWL ontologies.

Theme

Semantic Web

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Abstract

The Resource Description Framework (RDF) is the standard knowledge representation language for the Semantic Web, an evolution of the World Wide Web that aims to provide a well-founded infrastructure for publishing, sharing and querying structured data. This entry provides an introduction to RDF and its related vocabulary definition language RDF Schema, and explains its relationship with the OWL Web Ontology Language. Finally, it provides an overview of the historical development of RDF and related languages for Web metadata.

Theme

Semantic Web

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Abstract

Das Semantic Web ist die Vision einer Erweiterung des World Wide Webs, so dass die Daten nicht nur für Menschen leicht verständlich dargestellt werden, sondern auch von Maschinen verwertbar sind. Mit einer entsprechenden Ausgestaltung von Links zwischen einzelnen Webressourcen wäre das Web als riesige, globale Datenbank nutzbar. Darin könnten dann Softwareagenten für uns auch komplexe Fragestellungen und Planungen bearbeiten. In dieser Arbeit soll gezeigt werden, dass jede Bibliothek interessante Daten für das Semantic Web hat und umgekehrt von ihm profitieren kann. Ein Schwerpunkt liegt auf möglichen Anwendungsszenarien mit dem speziellen Fokus beim Bibliothekswesen.

Theme

Semantic Web

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Abstract

The Semantic Web and ontologies can help archaeologists combine and share data, making it more open and useful. Archaeologists create diverse types of data, using a wide variety of technologies and methodologies. Like all research domains, these data are increasingly digital. The creation of data that are now openly and persistently available from disparate sources has also inspired efforts to bring archaeological resources together and make them more interoperable. This allows functionality such as federated cross-search across different datasets, and the mapping of heterogeneous data to authoritative structures to build a single data source. Ontologies provide the structure and relationships for Semantic Web data, and have been developed for use in cultural heritage applications generally, and archaeology specifically. A variety of online resources for archaeology now incorporate Semantic Web principles and technologies.

Theme

Semantic Web

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Abstract

The Web of Data keeps growing rapidly. However, the full exploitation of this large amount of structured data faces numerous challenges like usability, scalability, imprecise information needs and data change. We present Semplore, an IR-based system that aims at addressing these issues. Semplore supports intuitive faceted search and complex queries both on text and structured data. It combines imprecise keyword search and precise structured query in a unified ranking scheme. Scalable query processing is supported by leveraging inverted indexes traditionally used in IR systems. This is combined with a novel block-based index structure to support efficient index update when data changes. The experimental results show that Semplore is an efficient and effective system for searching the Web of Data and can be used as a basic infrastructure for Web-scale Semantic Web search engines.

Source

Web semantics: science, services and agents on the World Wide Web. 7(2009) no.3, S.177-188

Theme

Semantic Web

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Abstract

Das Semantic Web bezeichnet ein erweitertes World Wide Web (WWW), das die Bedeutung von präsentierten Inhalten in neuen standardisierten Sprachen wie RDF Schema und OWL modelliert. Diese Arbeit befasst sich mit dem Aspekt des Information Retrieval, d.h. es wird untersucht, in wie weit Methoden der Informationssuche sich auf modelliertes Wissen übertragen lassen. Die kennzeichnenden Merkmale von IR-Systemen wie vage Anfragen sowie die Unterstützung unsicheren Wissens werden im Kontext des Semantic Web behandelt. Im Fokus steht die Suche nach Fakten innerhalb einer Wissensdomäne, die entweder explizit modelliert sind oder implizit durch die Anwendung von Inferenz abgeleitet werden können. Aufbauend auf der an der Universität Duisburg-Essen entwickelten Retrievalmaschine PIRE wird die Anwendung unsicherer Inferenz mit probabilistischer Prädikatenlogik (pDatalog) implementiert.

Footnote

Zugl.: Dortmund, Univ., Dipl.-Arb., 2006 u.d.T.: Hüsken, Peter: Information-Retrieval im Semantic-Web.

RSWK

Information Retrieval / Semantic Web

Subject

Information Retrieval / Semantic Web

Theme

Semantic Web

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Abstract

From the beginning it was understood that the success of the Semantic Web hinges on integrating the vast amount of data stored in Relational Databases. This manuscript reflects on the last 10 years of our research results to integrate Relational Databases with the Semantic Web. Since 2007, our research has led us to answer the following question: How and to what extent can Relational Databases be Integrated with the Semantic Web? The answer comes in two parts. We start by presenting how to get from Relational Databases to the Semantic Web via mappings, such as the W3C Direct Mapping and R2RML standards. Subsequently, we present how the Semantic Web can access Relational Databases. We finalize with how Relational Databases and Semantic Web technologies are being used practice for data integration and discuss open challenges.

Series

Lecture Notes in Computer Scienc;10370) (Information Systems and Applications, incl. Internet/Web, and HCI

Source

Reasoning Web: Semantic Interoperability on the Web, 13th International Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures. Eds.: Ianni, G. et al

Theme

Semantic Web

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Abstract

Without semantically enriched content, the Web cannot reach its full potential. The authors discuss tools and techniques for generating and processing such content, thus setting a foundation upon which to build the Semantic Web. In particular, they put a Semantic Web language through its paces and try to answer questions about how people can use it, such as, How do authors generate semantic descriptions? How do agents discover these descriptions? How can agents integrate information from different sites? How can users query the Semantic Web? The authors present a system that addresses these questions and describe tools that help users interact with the Semantic Web. They motivate the design of their system with a specific application: semantic markup for computer science.

Theme

Semantic Web

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Abstract

Während in den vergangenen Monaten Themen wie Web 2.0 und Social Software ein erstaunliches Konjunkturhoch erlebt haben, vollzieht sich weitgehend abseits der öffentlichen Wahrnehmung eine technologische Komplementärinnovation. Die wachsende Adaption semantischer Technologien zu Zwecken der strukturierten Erschließung von "Web 2.0 Content", aber auch der Einsatz von Social Software zur kollaborativen Anreicherung von Web Content mit maschinenlesbaren Metadaten sind Ausdruck eines Trends in Richtung "Social Semantic Web". Bezeichnendes Merkmal dieser Entwicklung ist die voranschreitende Konvergenz zwischen Social Software und Semantic Web Technologien. Dieser Beitrag hat das Ziel ein allgemeines Bewusstsein und Verständnis dieser Entwicklung zu schaffen und nähert sich dem Phänomen aus einer nichttechnischen Perspektive.

Object

Web 2.0

Pages

S.3-22

Source

Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini

Theme

Semantic Web

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Abstract

Six years ago in this magazine, Tim Berners-Lee, James Hendler and Ora Lassila unveiled a nascent vision of the Semantic Web: a highly interconnected network of data that could be easily accessed and understood by any desktop or handheld machine. They painted a future of intelligent software agents that would head out on the World Wide Web and automatically book flights and hotels for our trips, update our medical records and give us a single, customized answer to a particular question without our having to search for information or pore through results. They also presented the young technologies that would make this vision come true: a common language for representing data that could be understood by all kinds of software agents; ontologies--sets of statements--that translate information from disparate databases into common terms; and rules that allow software agents to reason about the information described in those terms. The data format, ontologies and reasoning software would operate like one big application on the World Wide Web, analyzing all the raw data stored in online databases as well as all the data about the text, images, video and communications the Web contained. Like the Web itself, the Semantic Web would grow in a grassroots fashion, only this time aided by working groups within the World Wide Web Consortium, which helps to advance the global medium. Since then skeptics have said the Semantic Web would be too difficult for people to understand or exploit. Not so. The enabling technologies have come of age. A vibrant community of early adopters has agreed on standards that have steadily made the Semantic Web practical to use. Large companies have major projects under way that will greatly improve the efficiencies of in-house operations and of scientific research. Other firms are using the Semantic Web to enhance business-to-business interactions and to build the hidden data-processing structures, or back ends, behind new consumer services. And like an iceberg, the tip of this large body of work is emerging in direct consumer applications, too.

Content

Vgl. auch unter: http://thefigtrees.net/lee/sw/sciam/semantic-web-in-action#single-page.

Theme

Semantic Web

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Abstract

Das Themengebiet der Arbeit behandelt Visualisierungen von typisierten Links in Linked Data. Die wissenschaftlichen Gebiete, die im Allgemeinen den Inhalt des Beitrags abgrenzen, sind das Semantic Web, das Web of Data und Informationsvisualisierung. Das Semantic Web, das von Tim Berners Lee 2001 erfunden wurde, stellt eine Erweiterung zum World Wide Web (Web 2.0) dar. Aktuelle Forschungen beziehen sich auf die Verknüpfbarkeit von Informationen im World Wide Web. Um es zu ermöglichen, solche Verbindungen wahrnehmen und verarbeiten zu können sind Visualisierungen die wichtigsten Anforderungen als Hauptteil der Datenverarbeitung. Im Zusammenhang mit dem Sematic Web werden Repräsentationen von zusammenhängenden Informationen anhand von Graphen gehandhabt. Der Grund des Entstehens dieser Arbeit ist in erster Linie die Beschreibung der Gestaltung von Linked Data-Visualisierungskonzepten, deren Prinzipien im Rahmen einer theoretischen Annäherung eingeführt werden. Anhand des Kontexts führt eine schrittweise Erweiterung der Informationen mit dem Ziel, praktische Richtlinien anzubieten, zur Vernetzung dieser ausgearbeiteten Gestaltungsrichtlinien. Indem die Entwürfe zweier alternativer Visualisierungen einer standardisierten Webapplikation beschrieben werden, die Linked Data als Netzwerk visualisiert, konnte ein Test durchgeführt werden, der deren Kompatibilität zum Inhalt hatte. Der praktische Teil behandelt daher die Designphase, die Resultate, und zukünftige Anforderungen des Projektes, die durch die Testung ausgearbeitet wurden.

Theme

Semantic Web

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Abstract

Das »Semantic Web« bildet einen der wichtigsten, aktuellen Trends in der Weiterentwicklung des World Wide Web. Ehrgeizige Vision dieser nächsten Generation des WWW ist es, durch semantische Anreicherung von Information eine neue Qualität in der Bereitstellung von Inhalten und Diensten zu erreichen und vollständig neue Anwendungsmöglichkeiten für das Web zu eröffnen. Wichtige Ziele der Entwicklung des Semantic Web sind dabei die verbesserte Unterstützung von Kooperation zwischen Menschen und Computern und die intelligente Assistenz bei der Durchführung von Aufgaben in kooperativen verteilten Informationsumgebungen. Schlüssel zur Erreichung dieser Ziele sind die Anreicherung von Daten im Web mit Metadaten, welche diese Daten in einen semantischen Kontext einbetten. Diese Kontextinformation wird durch Software-Anwendungen interpretiert und zur Informationsfilterung, Verfeinerung von Anfragen und zur Bereitstellung intelligenter Assistenten verwendet. Eine große Herausforderung stellt dabei die geeignete Modellierung und Beschreibung des Kontexts dar. Diese muss eine automatische, globale Interpretation ermöglichen, ohne dass auf ein allgemeingültiges semantisches Beschreibungsschema zurückgegriffen werden kann. Die Vereinbarung eines solchen allgemeingültigen Schemas ist in einem derart umfangreichen, heterogenen und autonomen Rahmen, wie ihn das WWW darstellt, nicht möglich.

Theme

Semantic Web

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Content

The highly-structured data standards of the Semantic Web contain a promising venue for the migration of library subject access standards onto the World Wide Web. The new functionalities of the Web, however, along with the anticipated capabilities of intelligent Web agents, suggest that information on the Semantic Web will have much more flexibility, diversity and mutability. We need, therefore, a method for recognizing and assessing the principles whereby Semantic Web information can combine together in productive and useful ways. This paper will argue that the concept of warrant in traditional library science, can provide a useful means of translating library knowledge structures into Web-based knowledge structures. Using Derrida's concept of logocentrism, this paper suggests that what while "warrant" in library science traditionally alludes to the principles by which concepts are admitted into the design of a classification or access system, "warrant" on the Semantic Web alludes to the principles by which Web resources can be admitted into a network of information uses. Furthermore, library information practice suggests a far more complex network of warrant concepts that provide a subtlety and richness to knowledge organization that the Semantic Web has not yet attained.

Theme

Semantic Web

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Abstract

DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against datasets derived from Wikipedia and to link other datasets on the Web to Wikipedia data. We describe the extraction of the DBpedia datasets, and how the resulting information is published on the Web for human- and machineconsumption. We describe some emerging applications from the DBpedia community and show how website authors can facilitate DBpedia content within their sites. Finally, we present the current status of interlinking DBpedia with other open datasets on the Web and outline how DBpedia could serve as a nucleus for an emerging Web of open data.

Series

Lecture notes in computer science ; 4825

Source

¬The Semantic Web : 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007 : proceedings. Ed.: Karl Aberer et al

Theme

Semantic Web

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Abstract

The Resource Description Framework (RDF) is a language for representing information about resources in the World Wide Web. This Primer is designed to provide the reader with the basic knowledge required to effectively use RDF. It introduces the basic concepts of RDF and describes its XML syntax. It describes how to define RDF vocabularies using the RDF Vocabulary Description Language, and gives an overview of some deployed RDF applications. It also describes the content and purpose of other RDF specification documents.

Theme

Semantic Web

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Series

Lecture Notes in Computer Scienc;10370) (Information Systems and Applications, incl. Internet/Web, and HCI

Source

Reasoning Web: Semantic Interoperability on the Web, 13th International Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures. Eds.: Ianni, G. et al

Theme

Semantic Web

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Abstract

Given that semantic Web realization is based on the critical mass of metadata accessibility and the representation of data with formal knowledge, it needs to generate metadata that is specific, easy to understand and well-defined. However, semantic annotation of the web documents is the successful way to make the Semantic Web vision a reality. This paper introduces the Semantic Web and its vision (stack layers) with regard to some concept definitions that helps the understanding of semantic annotation. Additionally, this paper introduces the semantic annotation categories, tools, domains and models.

Source

International Journal of Computer Applications Technology and Research. 2, no. 6, S.763-770

Theme

Semantic Web

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Abstract

The DBpedia project is a community effort to extract structured information from Wikipedia and to make this information accessible on the Web. The resulting DBpedia knowledge base currently describes over 2.6 million entities. For each of these entities, DBpedia defines a globally unique identifier that can be dereferenced over the Web into a rich RDF description of the entity, including human-readable definitions in 30 languages, relationships to other resources, classifications in four concept hierarchies, various facts as well as data-level links to other Web data sources describing the entity. Over the last year, an increasing number of data publishers have begun to set data-level links to DBpedia resources, making DBpedia a central interlinking hub for the emerging Web of data. Currently, the Web of interlinked data sources around DBpedia provides approximately 4.7 billion pieces of information and covers domains suc as geographic information, people, companies, films, music, genes, drugs, books, and scientific publications. This article describes the extraction of the DBpedia knowledge base, the current status of interlinking DBpedia with other data sources on the Web, and gives an overview of applications that facilitate the Web of Data around DBpedia.

Source

Journal of Web semantics: science, services and agents on the World Wide Web, no.7, S.154-165

Theme

Semantic Web