Filtering algorithms and implementation for very fast publish/subscribe systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A large scale study of wireless search behavior: Google mobile search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Data Stream Management: Processing High-Speed Data Streams (Data-Centric Systems and Applications)
Data Stream Management: Processing High-Speed Data Streams (Data-Centric Systems and Applications)
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
Deciphering Trends in Mobile Search
Computer
Deciphering mobile search patterns: a study of Yahoo! mobile search queries
Proceedings of the 17th international conference on World Wide Web
A survey of top-k query processing techniques in relational database systems
ACM Computing Surveys (CSUR)
Towards LarKC: A Platform for Web-Scale Reasoning
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
RuleML '08 Proceedings of the International Symposium on Rule Representation, Interchange and Reasoning on the Web
Fancy a Drink in Canary Wharf?: A User Study on Location-Based Mobile Search
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
It's a Streaming World! Reasoning upon Rapidly Changing Information
IEEE Intelligent Systems
An execution environment for C-SPARQL queries
Proceedings of the 13th International Conference on Extending Database Technology
Querying RDF streams with C-SPARQL
ACM SIGMOD Record
Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics
IEEE Intelligent Systems
Enabling ontology-based access to streaming data sources
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
EP-SPARQL: a unified language for event processing and stream reasoning
Proceedings of the 20th international conference on World wide web
Large knowledge collider: a service-oriented platform for large-scale semantic reasoning
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Improving local search ranking through external logs
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Answer set programming for stream reasoning
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
Multivariate prediction for learning on the semantic web
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
Location-aware click prediction in mobile local search
Proceedings of the 20th ACM international conference on Information and knowledge management
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Incremental reasoning on streams and rich background knowledge
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Towards BOTTARI: using stream reasoning to make sense of location-based micro-posts
ESWC'11 Proceedings of the 8th international conference on The Semantic Web
Linking smart cities datasets with human computation: the case of urbanmatch
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
Mega-modeling for big data analytics
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Towards mega-modeling: a walk through data analysis experiences
ACM SIGMOD Record
Hi-index | 0.00 |
In 2011, an average of three million tweets per day was posted in Seoul. Hundreds of thousands of tweets carry the live opinion of some tens of thousands of users about restaurants, bars, cafes, and many other semi-public points of interest (POIs) in the city. Trusting this collective opinion to be a solid base for novel commercial and social services, we conceived BOTTARI: an augmented reality application that offers personalized and localized recommendation of POIs based on the temporally weighted opinions of the social media community. In this paper, we present the design of BOTTARI, the potentialities of semantic technologies such as inductive and deductive stream reasoning, and the lessons learnt in experimentally deploying BOTTARI in Insadong-a popular tourist area in Seoul-for which we have been collecting tweets for three years to rate the hundreds of restaurants in the district. The results of our study demonstrate the feasibility of BOTTARI and encourage its commercial spread.