Empowering automatic semantic annotation in grid

Authors:
Michal Laclavík;Marek Ciglan;Martin Šeleng;Ladislav Hluchý
Affiliations:
Institute of Informatics, Slovak Academy of Sciences, Bratislava, Slovakia;Institute of Informatics, Slovak Academy of Sciences, Bratislava, Slovakia;Institute of Informatics, Slovak Academy of Sciences, Bratislava, Slovakia;Institute of Informatics, Slovak Academy of Sciences, Bratislava, Slovakia
Venue:
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Year:
2007

Citing 12
Cited 2

Authoring and annotation of web pages in CREAM

Proceedings of the 11th international conference on World Wide Web
Using web structure for classifying and describing web pages

Proceedings of the 11th international conference on World Wide Web
Information Retrieval

Information Retrieval
Ontology Learning for the Semantic Web

IEEE Intelligent Systems
Magpie: supporting browsing and navigation on the semantic web

Proceedings of the 9th international conference on Intelligent user interfaces
Gimme' the context: context-driven automatic semantic annotation with C-PANKOW

WWW '05 Proceedings of the 14th international conference on World Wide Web
Survey of semantic annotation platforms

Proceedings of the 2005 ACM symposium on Applied computing
Browsing for information by highlighting automatically generated annotations: a user study and evaluation

Proceedings of the 3rd international conference on Knowledge capture
MapReduce: simplified data processing on large clusters

OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Ontology based Text Annotation --OnTeA

Proceedings of the 2007 conference on Information Modelling and Knowledge Bases XVIII
Semantic annotation, indexing, and retrieval

Web Semantics: Science, Services and Agents on the World Wide Web
Semantic annotation for knowledge management: Requirements and a survey of the state of the art

Web Semantics: Science, Services and Agents on the World Wide Web

Towards Large Scale Semantic Annotation Built on MapReduce Architecture

ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
A practical experience concerning the parallel semantic annotation of a large-scale data collection

Proceedings of the 9th International Conference on Semantic Systems

Quantified Score

Hi-index	0.01

Visualization

Abstract

Nowadays, capturing the knowledge in ontological structures is one of the primary focuses of the semantic web research. To exploit the knowledge from the vast quantity of existing unstructured texts available in natural languages in ontologies, tools for automatic semantic annotation (ASA) are heavily needed. In this paper, we present the ASA tool Ontea and empowering of the method by Grid technology for performance increase, which help us in delivering formalized semantic data in shorter time. We have adjusted Ontea annotation algorithm to be executable in the distributed grid environment. We also give performance evaluation of Ontea algorithm and experimental results from cluster and grid implementation.