TY - GEN
T1 - Design and implementation of location-Aware semantic mobile mashups
AU - Zhou, Duan Hong
AU - Lee, Yongju
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/6/30
Y1 - 2018/6/30
N2 - Multimedia and communication capabilities of the Smart-phone provide the environment for creating and advanced mashup content that combines with Linked Data. This paper describes the design and implementation of the location-Aware semantic mobile mashup system on Smartphones. The Geospatial Semantic Web allows for the use of RDF (Resource Description Framework) to describe locations in an open and distributed manner and to provide the relevant data on locations between data resources. Our system provides mashups of Google Maps and DBpedia based on users' current location, displays surrounding DBpedia objects, and links search for additional semantic information. DBpedia is emerging as the core of LOD (Linked Open Data), which is gathering information based on Wikipedia and using it to develop the large scale of Big Data. Developed location-Aware semantic mobile mashups can find where you want to be on your current location through GPS. They can navigate through the data links to other data sources to see contextual information about their surroundings and can easily access the semantic information over Linked Data browsers.
AB - Multimedia and communication capabilities of the Smart-phone provide the environment for creating and advanced mashup content that combines with Linked Data. This paper describes the design and implementation of the location-Aware semantic mobile mashup system on Smartphones. The Geospatial Semantic Web allows for the use of RDF (Resource Description Framework) to describe locations in an open and distributed manner and to provide the relevant data on locations between data resources. Our system provides mashups of Google Maps and DBpedia based on users' current location, displays surrounding DBpedia objects, and links search for additional semantic information. DBpedia is emerging as the core of LOD (Linked Open Data), which is gathering information based on Wikipedia and using it to develop the large scale of Big Data. Developed location-Aware semantic mobile mashups can find where you want to be on your current location through GPS. They can navigate through the data links to other data sources to see contextual information about their surroundings and can easily access the semantic information over Linked Data browsers.
KW - DBpedia
KW - Google maps.
KW - Location-based services
KW - LOD(Linked Open Data)
KW - RDF
KW - Semantic mobile mashups
KW - Smartphone
UR - http://www.scopus.com/inward/record.url?scp=85055872300&partnerID=8YFLogxK
U2 - 10.1145/3233740.3233754
DO - 10.1145/3233740.3233754
M3 - Conference contribution
AN - SCOPUS:85055872300
T3 - ACM International Conference Proceeding Series
SP - 72
EP - 76
BT - Proceedings of 2018 International Conference on Intelligent Science and Technology, ICIST 2018
PB - Association for Computing Machinery
T2 - 2018 International Conference on Intelligent Science and Technology, ICIST 2018
Y2 - 30 June 2018 through 2 July 2018
ER -