Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Providing architectural support for building context-aware applications
Providing architectural support for building context-aware applications
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
A comparison of algorithms for maximum entropy parameter estimation
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Hierarchical Situation Modeling and Reasoning for Pervasive Computing
SEUS-WCCIA '06 Proceedings of the The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA'06)
Data Mining: A Knowledge Discovery Approach
Data Mining: A Knowledge Discovery Approach
Espresso: leveraging generic patterns for automatically harvesting semantic relations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Specification, decomposition and agent synthesis for situation-aware service-based systems
Journal of Systems and Software
Restful web services
YAGO: A Large Ontology from Wikipedia and WordNet
Web Semantics: Science, Services and Agents on the World Wide Web
HESA: A Human-Centric Evolvable Situation-Awareness Model in Smart Homes
ICOST '08 Proceedings of the 6th international conference on Smart Homes and Health Telematics
Context-Aware Computing Applications
WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
Ontology-based situation awareness
Information Fusion
Using structured text for large-scale attribute extraction
Proceedings of the 17th ACM conference on Information and knowledge management
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Automated generation of composite web services based on functional semantics
Web Semantics: Science, Services and Agents on the World Wide Web
HTN planning for Web Service composition using SHOP2
Web Semantics: Science, Services and Agents on the World Wide Web
Automatic discovery of attribute words from web documents
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Procedural knowledge extraction on MEDLINE abstracts
AMT'11 Proceedings of the 7th international conference on Active media technology
Solution mining for specific contextualised problems: towards an approach for experience mining
Proceedings of the 21st international conference companion on World Wide Web
Feasibility study for procedural knowledge extraction in biomedical documents
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
SemEval-2012 task 7: choice of plausible alternatives: an evaluation of commonsense causal reasoning
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Automatic organization of human task goals for web-scale problem solving knowledge
Proceedings of the seventh international conference on Knowledge capture
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With the growing interests in semantic web services and context-aware computing, the importance of ontologies, which enable us to perform context-aware reasoning, has been accepted widely. While domain-specific and general-purpose ontologies have been developed, few attempts have been made for a situation ontology that can be employed directly to support activity-oriented context-aware services. In this paper, we propose an approach to automatically constructing a large-scale situation ontology by mining large-scale web resources, eHow and wikiHow, which contain an enormous amount of how-to instructions (e.g., ''How to install a car amplifier''). The construction process is guided by a situation model derived from the procedural knowledge available in the web resources. Two major steps involved are: (1) action mining that extracts pairs of a verb and its ingredient (i.e., objects, location, and time) from individual instructional steps (e.g., ) and forms goal-oriented situation cases using the results and (2) normalization and integration of situation cases to form the situation ontology. For validation, we measure accuracy of the action mining method and show how our situation ontology compares in terms of coverage with existing large-scale ontology-like resources constructed manually. Furthermore, we show how it can be utilized for two applications: service recommendation and service composition.