A WIKIPEDIA-BASED FRAMEWORK FOR COLLABORATIVE SEMANTIC ANNOTATION

2011 ◽  
Vol 20 (05) ◽  
pp. 847-886 ◽  
Author(s):  
N. FERNÁNDEZ ◽  
J. A. FISTEUS ◽  
D. FUENTES ◽  
L. SÁNCHEZ ◽  
V. LUQUE
Keyword(s):  
Semantic Web ◽  
Data Processing ◽  
Web Search ◽  
Semantic Annotation ◽  
Formal Ontology ◽  
Manual Annotation ◽  
Annotation Task ◽  
Web Resources ◽  
User Actions ◽  
Common User

The semantic web aims at automating web data processing tasks that nowadays only humans are able to do. To make this vision a reality, the information on web resources should be described in a computer-meaningful way, in a process known as semantic annotation. In this paper, a manual, collaborative semantic annotation framework is described. It is designed to take advantage of the benefits of manual annotation systems (like the possibility of annotating formats difficult to annotate in an automatic manner) addressing at the same time some of their limitations (reduce the burden for non-expert annotators). The framework is inspired by two principles: use Wikipedia as a facade for a formal ontology and integrate the semantic annotation task with common user actions like web search. The tools in the framework have been implemented, and empirical results obtained in experiences carried out with these tools are reported.

A Query-based Approach for Semi-Automatic Annotation of Web Services

2011 ◽  
Vol 2 (2) ◽  
pp. 37-54 ◽  
Author(s):  
Mohammad Mourhaf AL Asswad ◽  
Sergio de Cesare ◽  
Mark Lycett
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Semantic Annotation ◽  
Semantic Web Services ◽  
Manual Annotation ◽  
Automatic Annotation ◽  
Query Execution ◽  
Annotation Task ◽  
Compound Nouns ◽  
Execution Engine

Semantic Web services (SWS) have attracted increasing attention due to their potential to automate discovery and composition of current syntactic Web services. An issue that prevents a wider adoption of SWS relates to the manual nature of the semantic annotation task. Manual annotation is a difficult, error-prone, and time-consuming process and automating the process is highly desirable. Though some approaches have been proposed to semi-automate the annotation task, they are difficult to use and cannot perform accurate annotation for the following reasons: (1) They require building application ontologies to represent candidate services and (2) they cannot perform accurate name-based matching when labels of candidate service elements and ontological entities contain Compound Nouns (CN). To overcome these two deficiencies, this paper proposes a query-based approach that can facilitate semi-automatic annotation of Web services. The proposed approach is easy to use because it does not require building application ontologies to represent services. Candidate service elements that need to be annotated are extracted from a WSDL file and used to generate query instances by filling a Standard Query Template. The resulting query instances are executed against a repository of ontologies using a novel query execution engine to find appropriate correspondences for candidate service elements. This query execution engine employs name-based and structural matching mechanisms that can perform effective and accurate similarity measurements between labels containing CNs. The proposed semi-automatic annotation approach is evaluated by employing it to annotate existing Web services using published domain ontologies. Precision and recall are used as evaluation metrics. The resulting precision and recall values demonstrate the effectiveness and applicability of the proposed approach.

A Query-Based Approach for Semi-Automatic Annotation of Web Services

2012 ◽  
pp. 125-143
Author(s):  
Mohammad Mourhaf AL Asswad ◽  
Sergio de Cesare ◽  
Mark Lycett
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Semantic Annotation ◽  
Semantic Web Services ◽  
Manual Annotation ◽  
Automatic Annotation ◽  
Query Execution ◽  
Annotation Task ◽  
Compound Nouns ◽  
Execution Engine

Semantic Web services (SWS) have attracted increasing attention due to their potential to automate discovery and composition of current syntactic Web services. An issue that prevents a wider adoption of SWS relates to the manual nature of the semantic annotation task. Manual annotation is a difficult, error-prone, and time-consuming process and automating the process is highly desirable. Though some approaches have been proposed to semi-automate the annotation task, they are difficult to use and cannot perform accurate annotation for the following reasons: (1) They require building application ontologies to represent candidate services and (2) they cannot perform accurate name-based matching when labels of candidate service elements and ontological entities contain Compound Nouns (CN). To overcome these two deficiencies, this paper proposes a query-based approach that can facilitate semi-automatic annotation of Web services. The proposed approach is easy to use because it does not require building application ontologies to represent services. Candidate service elements that need to be annotated are extracted from a WSDL file and used to generate query instances by filling a Standard Query Template. The resulting query instances are executed against a repository of ontologies using a novel query execution engine to find appropriate correspondences for candidate service elements. This query execution engine employs name-based and structural matching mechanisms that can perform effective and accurate similarity measurements between labels containing CNs. The proposed semi-automatic annotation approach is evaluated by employing it to annotate existing Web services using published domain ontologies. Precision and recall are used as evaluation metrics. The resulting precision and recall values demonstrate the effectiveness and applicability of the proposed approach.

A Multi-Actor Ontology-Based Assistance Model

2012 ◽  
pp. 213-228 ◽  
Author(s):  
Gilbert Paquette ◽  
Olga Marino
Keyword(s):  
Semantic Web ◽  
Semantic Annotation ◽  
Cognitive State ◽  
Web Based ◽  
Work Systems ◽  
Web Resources ◽  
Single User ◽  
Simple Interface ◽  
Interface Adaptation ◽  
And Training

Adaptivity plays a central role for Web-based assistance to work and training processes. In the last decade, learning and work systems have evolved, from single-user sequential scenarios to multi-actors rich learn-flows and workflows. Within the Semantic Web, resources, activities, and actors are referenced semantically using ontologies, while the user model focuses more on the user’s cognitive state than on simple interface adaptation. The assistance model elaborated in this chapter is composed of a hierarchy of rule-based agents that interacts with semantic annotation of scenario components such as actors, activities, and resources. Ontology-based assistance in multi-actor scenarios is a contribution towards the adaptive semantic Web.

scholarly journals Semantic Annotation of Arabic Web Resources Using Semantic Web Services

2016 ◽  
Vol 83 ◽  
pp. 504-511 ◽  
Author(s):  
Saeed Albukhitan ◽  
Ahmed Alnazer ◽  
Tarek Helmy
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Semantic Annotation ◽  
Semantic Web Services ◽  
Web Resources

Spatiotemporal-Thematic Data Processing for the Semantic Web

2007 ◽  
pp. 79-89 ◽  
Author(s):  
Farshad Hakimpour ◽  
Boanerges Aleman-Meza ◽  
Matthew Perry ◽  
Amit Sheth
Keyword(s):  
Semantic Web ◽  
Data Processing ◽  
Thematic Data

scholarly journals Semantic Web Image Search through Manual Annotation

2011 ◽  
Vol 17 (8) ◽  
pp. 39-42
Author(s):  
M. Gokul Prasad ◽  
T. Sumathi ◽  
M. Hemalatha
Keyword(s):  
Semantic Web ◽  
Manual Annotation ◽  
Image Search

scholarly journals PLATFORMIZING KNOWLEDGE: MESS AND MEANING IN WEB 3.0 INFRASTRUCTURES

2020 ◽  
Author(s):  
Andrew Iliadis ◽  
Wesley Stevens ◽  
Jean-Christophe Plantin ◽  
Amelia Acker ◽  
Huw Davies ◽  
...  
Keyword(s):  
Semantic Web ◽  
Information Exchange ◽  
Semantic Annotation ◽  
Data Access ◽  
Web 3.0 ◽  
Fine Grained ◽  
The Status ◽  
Nature Of Information ◽  
Data Portability ◽  
Machine Readable

This panel focuses on the way that platforms have become key players in the representation of knowledge. Recently, there have been calls to combine infrastructure and platform-based frameworks to understand the nature of information exchange on the web through digital tools for knowledge sharing. The present panel builds and extends work on platform and infrastructure studies in what has been referred to as “knowledge as programmable object” (Plantin, et al., 2018), specifically focusing on how metadata and semantic information are shaped and exchanged in specific web contexts. As Bucher (2012; 2013) and Helmond (2015) show, data portability in the context of web platforms requires a certain level of semantic annotation. Semantic interoperability is the defining feature of so-called "Web 3.0"—traditionally referred to as the semantic web (Antoniou et al, 2012; Szeredi et al, 2014). Since its inception, the semantic web has privileged the status of metadata for providing the fine-grained levels of contextual expressivity needed for machine-readable web data, and can be found in products as diverse as Google's Knowledge Graph, online research repositories like Figshare, and other sources that engage in platformizing knowledge. The first paper in this panel examines the international Schema.org collaboration. The second paper investigates the epistemological implications when platforms organize data sharing. The third paper argues for the use of patents to inform research methodologies for understanding knowledge graphs. The fourth paper discusses private platforms’ extraction and collection of user metadata and the enclosure of data access.

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