A Survey of the Web Ontology Landscape

Wang, Taowei David; Parsia, Bijan; Hendler, James A.

doi:10.1007/11926078_49

Cited by 54 publications

(39 citation statements)

References 11 publications

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“…While our conclusions provide a better understanding of the current state of the Semantic Web (complementary with the conclusions of other similar studies [5,8,10,19,34]), they could further benefit the research community as follows. First, we consider them as a proof that a task based evaluation is feasible and useful, thus supporting the hypothesis of the paper.…”

Section: Discussionsupporting

confidence: 68%

“…We conclude in Section 5 with a number of observations about the status of the Semantic Web that support our hypothesis and are complementary to findings provided by similar studies of online ontologies [5,8,10,19,34].…”

Section: Introductionsupporting

confidence: 69%

“…Furthermore, several overviews of the Semantic Web as a whole focus on the totality of online ontologies. Existing studies assess the size and growth rate of online knowledge [10,19], as well as emerging trends in the adoption and use of representation languages and their primitives [5,8,34]. While these findings are important, they do not give an insight into the suitability of online ontologies to be used for certain tasks.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Semantic Web: A Task-Based Approach

et al. 2007

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Abstract. The increased availability of online knowledge has led to the design of several algorithms that solve a variety of tasks by harvesting the Semantic Web, i.e., by dynamically selecting and exploring a multitude of online ontologies. Our hypothesis is that the performance of such novel algorithms implicitly provides an insight into the quality of the used ontologies and thus opens the way to a task-based evaluation of the Semantic Web. We have investigated this hypothesis by studying the lessons learnt about online ontologies when used to solve three tasks: ontology matching, folksonomy enrichment, and word sense disambiguation. Our analysis leads to a suit of conclusions about the status of the Semantic Web, which highlight a number of strengths and weaknesses of the semantic information available online and complement the findings of other analysis of the Semantic Web landscape.

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Section: Discussionsupporting

confidence: 68%

Section: Introductionsupporting

confidence: 69%

Section: Introductionmentioning

confidence: 99%

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Evaluating the Semantic Web: A Task-Based Approach

et al. 2007

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“…Third, as SWRL and SPARQL have different levels of expressivity and scalability, it is interesting to compare their performance. For a more in depth discussion of these semantic web technologies, we refer to [27].…”

Section: Step 1: Identification Of Context Typesmentioning

confidence: 99%

Automated context dissemination for autonomic collaborative networks through semantic subscription filter generation

Latré

Famaey

Strassner

et al. 2013

Journal of Network and Computer Applications

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The current manual management of services and applications in today's telecommunication networks is becoming increasingly complicated. In the Future Internet, management is assumed to be automated by introducing an autonomic layer of distributed management elements. These distributed management elements need to collaborate with each other to ensure end-to-end quality guarantees. In this article, we focus on the context dissemination between such collaborative management elements. Context dissemination is the exchange of all relevant management data and knowledge between the elements. Collaborating elements typically generate large amounts of context and it is important to filter this continuous stream. We propose a context dissemination approach that automates the context exchange between elements. The approach enables the automated generation of semantic subscription filters. Subscription filters allow an element to define where, how, and when context needs to be requested from other entities. Moreover, the proposed approach allows making the subscription filter generation dependent on the context. We present algorithms that intelligently filter the knowledge that is stored in the ontology. The results show that the generation of subscription filters can be done in the order of tens of milliseconds.

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“…through analyzing the Linking Open Data dataset. Wang, et al [23] surveyed nearly 1,300 ontologies and analyzed their expressiveness, the use of OWL constructs, the shape of class hierarchy, etc. Tummarello, et al [22] found that …”

Section: Related Workmentioning

confidence: 99%

Object Link Structure in the Semantic Web

Chen

et al. 2010

Lecture Notes in Computer Science

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Abstract. Lots of RDF data have been published in the Semantic Web. The RDF data model, together with the decentralized linkage nature of the Semantic Web, brings object link structure to the worldwide scope. Object links are critical to the Semantic Web and the macroscopic properties of object links are helpful for better understanding the current Data Web. In this paper, we propose a notion of object link graph (OLG) in the Semantic Web, and analyze the complex network structure of an OLG constructed from the latest dataset (FC09) collected by the Falcons search engine. We find that the OLG has the scale-free nature and the approximate effective diameter of the graph is small compared to its scale, which are also consistent with the experimental result based on our last year's dataset (FC08). The amount of RDF documents and objects by Falcons both doubled during the past year, but the object link graph remains the same density while the diameter is getting shrinking. We also repeat the complex network analysis on the two largest domainspecific subsets of FC09, namely Bio2RDF(FC09) and DBpedia(FC09). The results show that both Bio2RDF(FC09) and DBpedia(FC09) have low density in object links, which contribute to the low density of object links in FC09.

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A Survey of the Web Ontology Landscape

Cited by 54 publications

References 11 publications

Evaluating the Semantic Web: A Task-Based Approach

Evaluating the Semantic Web: A Task-Based Approach

Automated context dissemination for autonomic collaborative networks through semantic subscription filter generation

Object Link Structure in the Semantic Web

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