CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Communications of the ACM
Techniques for Plan Recognition
User Modeling and User-Adapted Interaction
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
GOOSE: A Goal-Oriented Search Engine with Commonsense
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
ACM SIGIR Forum
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Human computation
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Learning concept hierarchies from text corpora using formal concept analysis
Journal of Artificial Intelligence Research
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
The why UI: using goal networks to improve user interfaces
Proceedings of the 15th international conference on Intelligent user interfaces
Building taxonomy of web search intents for name entity queries
Proceedings of the 19th international conference on World wide web
Automatic modeling of user's real world activities from the web for semantic IR
Proceedings of the 3rd International Semantic Search Workshop
Acquiring knowledge about human goals from Search Query Logs
Information Processing and Management: an International Journal
Task knowledge based retrieval for service relevant to mobile user's activity
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
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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To realize the vision of intelligent agents on the web, agents need to be capable of understanding people's behavior. Such an understanding would enable them to better predict and support human activities on the web. If agents had access to knowledge about human goals, they could, for instance, recognize people's goals from their actions or reason about people's goals. In this work, we study to what extent it is feasible to automatically construct concept hierarchies of domain-specific human goals. This process consists of the following two steps: (1) extracting human goal instances from a search query log and (2) inferring hierarchical structures by applying clustering techniques. To compare resulting concept hierarchies, we manually construct a golden standard and calculate taxonomic overlaps. In our experiments, we achieve taxonomic overlaps of up to ~51% for the health domain and up to ~60% for individual health subdomains. In an illustration scenario, we provide a prototypical implementation to automatically complement goal concept hierarchies by means-ends relations, i.e. relating goals to actions which potentially contribute to their accomplishment. Our findings are particularly relevant for knowledge engineers interested in (i) acquiring knowledge about human goals as well as (ii) automating the process of constructing goal concept hierarchies.