Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation
Communications of the ACM
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Information modeling and relational databases: from conceptual analysis to logical design
Information modeling and relational databases: from conceptual analysis to logical design
Data modelling versus ontology engineering
ACM SIGMOD Record
Providing architectural support for building context-aware applications
Providing architectural support for building context-aware applications
Collaborative filtering with decoupled models for preferences and ratings
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Semantic Web in the Context Broker Architecture
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
IEEE Transactions on Knowledge and Data Engineering
Ontology-Based Discovery of Data-Driven Services
SOSE '06 Proceedings of the Second IEEE International Symposium on Service-Oriented System Engineering
Context-Aware Computing Applications
WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
Designing Gestural Interfaces: Touchscreens and Interactive Devices
Designing Gestural Interfaces: Touchscreens and Interactive Devices
A personalized access model: concepts and services for content delivery platforms
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
On Constructing, Grouping and Using Topical Ontology for Semantic Matching
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
Ontology-based news recommendation
Proceedings of the 2010 EDBT/ICDT Workshops
Towards ontological commitments with Ω-RIDL markup language
RuleML'07 Proceedings of the 2007 international conference on Advances in rule interchange and applications
Towards evaluating GRASIM for ontology-based data matching
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
A context management infrastructure with language integration support
Proceedings of the 3rd International Workshop on Context-Oriented Programming
Automatic web service composition based on graph network analysis metrics
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
ECMDA-FA'06 Proceedings of the Second European conference on Model Driven Architecture: foundations and Applications
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Onto-Ann: an automatic and semantically rich annotation component for do-it-yourself assemblage
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
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The do-it-yourself (DIY) culture has been continuously articulated since mid-1920s. The DIY spirit gets gradually spread because people realize that DIY activities are a way to confirm their personal creativities, outsource results, and expand their social contacts. We are motivated to design and implement a computing environment to support users to DIY their personalized Internet-of-things (IoT) applications. Before a person starts his DIY processes, it is important for him to find proper components that meet his needs. This article records our recent results concerning how to automatically discover and recommend existing components to users. The controlled fully automated ontology-assisted matching strategy (C-FOAM) is a matching strategy that contains algorithms at three different levels--string, lexical, and conceptual (or graphical). In this paper, we extend C-FOAM and embed it in a component discovery and recommendation module, which is called do-it-yourself component discoverer and recommender (DIY-CDR). DIY-CDR also uses semantic decision tables (SDT) to gather user specific decision rules and set up parameters for C-FOAM.