Towards automatic semantic annotation of data rich Web pages

Jellouli, Ismail; Mohajir, Mohammed El

doi:10.1109/rcis.2009.5089277

Cited by 5 publications

(5 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They are not just feasible for adoption by developers, site administrators, content editors, etc. for use as means of annotating web pages with semantic data [17]. Automatic Annotation defines a fully automated approach to semantic annotation.…”

Section: Semi-automatic Annotationmentioning

confidence: 99%

Towards Cloud Driven Semantic Annotation

Adedugbe

Benkhelifa

Campion

2017

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)

View full text Add to dashboard Cite

Semantic Web Technologies have been an active research area for some time and they are concerned with the development of technological concepts and artefacts that can drive the much elusive semantic web. The idea of a semantic web is a web which comprises of data with well-defined meaning. It is also a web that is context-aware in nature, whereby web documents are easily understandable and able to be processed by machines based on the underlying meaning provided for the documents by making use of annotation data (i.e. metadata). While several concepts have been proposed to drive the semantic web, none has so far demonstrated potentials to transform the current Web 2.0 to a truly semantic Web 3.0. With the advent of diverse technological innovations such as internet of things, cloud computing, big data analytics, etc. it is pertinent to review the state-of-the-art for semantic annotation and how it can be impacted by any of these technologies. This paper provides a review of semantic annotation state-of-the-art and how cloud computing as a paradigm can impact on it.

show abstract

Section: Semi-automatic Annotationmentioning

confidence: 99%

Towards Cloud Driven Semantic Annotation

Adedugbe

Benkhelifa

Campion

2017

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)

View full text Add to dashboard Cite

show abstract

“…Many techniques are designed to extract data, e.g., webpage annotation technique [8,9]. Obviously, it is not realistic to extract knowledge manually from a great amount of documents.…”

Section: Ideation-software Creation: By Individual or By Mass Collabomentioning

confidence: 99%

Flourishing creativity in software development via Internetware paradigm

Liu

Feng

et al. 2016

Sci. China Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…The aims in [15] were to create a system that annotates automatically a set of Web pages according to domain ontology. They were interested in data-rich web pages which are pages that contain a list of records.…”

Section: Related Workmentioning

confidence: 99%

Building Learning Repository based on Semantic and Shareable Learning Objects

Fouad¹,

Nofal²,

Hasan³

2013

IJCA

View full text Add to dashboard Cite

Learning Objects (LO) represent important elements when using electronic media to deliver educational contents to an audience in a learning environment.Construction of LOs does not involve a simple method, as their nature is directly linked to the intricacies of human cognitive and learning processes.Learning Objects Repository (LOR) not only provides a distributed storage mechanism but also emphasizes on the shareability and reusability of LOs. To ensure reusability and shareability, the metadata has been annotated to help LO discovery. To enhance the annotations in a traditional metadata format, ontological approach is proposed to achieve efficient LOs and to assist users in retrieving LOs. In this paper, new approach is proposed to acquiresemantic shareable learning objectsto create LOR. This proposed system presents the advantages that facilitate the development of new didactic tools with improved LO retrieving, integration and building capabilities.The experiment executed in this research shows that the proposed approach improves LO retrieving in the learning system. General TermsE-Learning, Learning objects (LO), Shareable learning objects,Learning object metadata (LOM), Domain ontology, WordNet.

show abstract

Towards automatic semantic annotation of data rich Web pages

Cited by 5 publications

References 9 publications

Towards Cloud Driven Semantic Annotation

Towards Cloud Driven Semantic Annotation

Flourishing creativity in software development via Internetware paradigm

Building Learning Repository based on Semantic and Shareable Learning Objects

Contact Info

Product

Resources

About