A field application of LOD: LOD extraction from web and LOD search by sensor

Authors:
Takahiro Kawamura;Akihiko Ohsuga
Affiliations:
Research & Development Center, Toshiba Corp.;University of Electro-Communications, Japan
Venue:
Proceedings of the 8th International Conference on Semantic Systems
Year:
2012

Citing 4
Cited 0

Extracting Patterns and Relations from the World Wide Web

WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Populating the Semantic Web by Macro-reading Internet Text

ISWC '09 Proceedings of the 8th International Semantic Web Conference
A semantically enabled service architecture for mashups over streaming and stored data

ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Semantics, sensors, and the social web: the live social semantics experiments

ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

Semantic search is intrinsically suited for information retrieval in field research, where keyword search is burdensome for users. Also, exploitation of mobile and facility sensors is now prevailing, but applications are still vague. Therefore, LOD can serve as an intermediary interpreting the semantics of the users and their environmental information obtained by the sensors and connecting it to the collective intelligence on the net. In this paper, to build ecosystem of LOD used in the field, we propose a mechanism of LOD content generation and its field application. Firstly, we introduce an Android application, which searches a plant fitting the environmental conditions obtained by the sensors from Plant LOD. Then, we show that our LOD generation mechanism builds the Plant LOD from the Web with an accuracy of 85 to 97%.