scispace - formally typeset
Search or ask a question
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
More filters
Journal ArticleDOI
TL;DR: Most of the leading researchers in the area of the educational semantic web have contributed to this special issue.
Abstract: I (Terry) first became interested in the semantic web from reading Berners-Lee's original works and following first generation developments of semantic web technologies in information science, e-business and health fields. I then began including the ideas in talks I gave at various conferences and forums in 2003. Naturally, I became curious about what other educators were doing with the semantic web and so Googled the term, "education semantic web". Much to my surprise and disappointment, I found that most of the references were to my own admittedly introductory and visionary comments made in these speeches. Where was the real work, innovation and actual prototype development? Fortunately, we were able to locate this type of work and we believe that most of the leading researchers in the area of the educational semantic web have contributed to this special issue. Of course, if we have missed your work, we welcome comments and URLs in the discussion areas of the special issue. Editors: Terry Anderson and Denise Whitelock.

129 citations

Proceedings ArticleDOI
05 Jan 2004
TL;DR: An information-seeking system is described which combines traditional keyword querying of WWW resources with the ability to browse and query against RDF annotations of those resources, and is characterised as "low threshold, high ceiling".
Abstract: An information-seeking system is described which combines traditional keyword querying of WWW resources with the ability to browse and query against RDF annotations of those resources. RDF(S) and RDF are used to specify and populate an ontology and the resultant RDF annotations are then indexed along with the full text of the annotated resources. The resultant index allows both keyword querying against the full text of the document and the literal values occurring in the RDF annotations, along with the ability to browse and query the ontology. We motivate our approach as a key enabler for fully exploiting the semantic Web in the area of knowledge management and argue that the ability to combine searching and browsing behaviours more fully supports a typical information-seeking task. The approach is characterised as "low threshold, high ceiling" in the sense that where RDF annotations exist they are exploited for an improved information-seeking experience but where they do not yet exist, a search capability is still available.

129 citations

Proceedings ArticleDOI
20 Apr 2009
TL;DR: This paper describes the tested systems and technologies, the methodology used in testing, and the results, and analyzes the results of OpenRuleBench, a suite of benchmarks for analyzing the performance and scalability of different rule engines.
Abstract: The Semantic Web initiative has led to an upsurge of the interest in rules as a general and powerful way of processing, combining, and analyzing semantic information. Since several of the technologies underlying rule-based systems are already quite mature, it is important to understand how such systems might perform on the Web scale. OpenRuleBench is a suite of benchmarks for analyzing the performance and scalability of different rule engines. Currently the study spans five different technologies and eleven systems, but OpenRuleBench is an open community resource, and contributions from the community are welcome. In this paper, we describe the tested systems and technologies, the methodology used in testing, and analyze the results.

129 citations

Journal ArticleDOI
TL;DR: It is concluded that usability, security, and privacy directly affect the confidence of the user in adopting an IPA and the proposition of a taxonomy for IPA classification is made.
Abstract: Natural Language Interfaces allow human-computer interaction through the translation of human intention into devices’ control commands, analyzing the user’s speech or gestures. This novel interaction mode arises from advancements of artificial intelligence, expert systems, speech recognition, semantic web, dialog systems, and natural language processing, bringing the concept of Intelligent Personal Assistant (IPA). There is currently a vast literature on this subject. However, in the best of our knowledge, there is no thorough analysis of the state-of-the-art in the field. In this context, we present in this article a survey of the field, discussing the main trends, critical areas, and challenges of an IPA. Another contribution is the proposition of a taxonomy for IPA classification. The method used to achieve these objectives consisted of a systematic literature review based on the population, intervention, comparison, outcome, and context (PICOC) criteria. As a result, we started from more than 3472 scientific articles published in the last six years, searched on a set of databases chosen to increase the probability of finding highly relevant articles. The review selected the 58 most significant articles, identifying challenges and open questions. We also discuss in the article the current status, usage, security and privacy issues, types, and architectures regarding an IPA. We conclude that usability, security, and privacy directly affect the confidence of the user in adopting an IPA.

129 citations

Book ChapterDOI
29 May 2005
TL;DR: This paper describes the requirements from the bioinformatics domain which demand technically simpler descriptions, involving the user community at all levels, and describes the data model and light-weight semantic discovery architecture.
Abstract: Semantic Web Services offer the possibility of highly flexible web service architectures, where new services can be quickly discovered, orchestrated and composed into workflows. Most existing work has, however, focused on complex service descriptions for automated composition. In this paper, we describe the requirements from the bioinformatics domain which demand technically simpler descriptions, involving the user community at all levels. We describe our data model and light-weight semantic discovery architecture. We explain how this fits in the larger architecture of the myGrid project, which overall enables interoperability and composition across, disparate, autonomous, third-party services. Our contention is that such light-weight service discovery provides a good fit for user requirements of bioinformatics and possibly other domains.

129 citations


Network Information
Related Topics (5)
Web service
57.6K papers, 989K citations
89% related
Web page
50.3K papers, 975.1K citations
87% related
Graph (abstract data type)
69.9K papers, 1.2M citations
84% related
Scalability
50.9K papers, 931.6K citations
83% related
Server
79.5K papers, 1.4M citations
82% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023116
2022348
2021412
2020612
2019782
2018881