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SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Sorting out searching: a user-interface framework for text searches
Communications of the ACM
Communications of the ACM
Adaptive Linking between Text and Photos Using Common Sense Reasoning
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Open Mind Common Sense: Knowledge Acquisition from the General Public
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
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Collecting commonsense experiences
Proceedings of the 2nd international conference on Knowledge capture
Collecting commonsense experiences
Proceedings of the 2nd international conference on Knowledge capture
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CHI '04 Extended Abstracts on Human Factors in Computing Systems
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Web Intelligence and Agent Systems
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
BT Technology Journal
A utility theoretic approach to determining optimal wait times in distributed information retrieval
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Implicit: an agent-based recommendation system for web search
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
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Proceedings of the 11th international conference on Intelligent user interfaces
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Personal and Ubiquitous Computing
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ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
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Proceedings of the 2008 ACM workshop on Search in social media
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CHI '09 Extended Abstracts on Human Factors in Computing Systems
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Journal of Biomedical Informatics
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Expert Systems with Applications: An International Journal
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UM'03 Proceedings of the 9th international conference on User modeling
How do users express goals on the web? - an exploration of intentional structures in web search
WISE'07 Proceedings of the 2007 international conference on Web information systems engineering
No Code Required: Giving Users Tools to Transform the Web
No Code Required: Giving Users Tools to Transform the Web
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Expert Systems with Applications: An International Journal
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EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
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
Capability modeling of knowledge-based agents for commonsense knowledge integration
PRIMA'11 Proceedings of the 14th international conference on Agents in Principle, Agents in Practice
Automatically constructing concept hierarchies of health-related human goals
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
Interactive interface for query formulation
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
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A novice search engine user may find searching the web for information difficult and frustrating because she may naturally express search goals rather than the topic keywords search engines need. In this paper, we present GOOSE (goal-oriented search engine), an adaptive search engine interface that uses natural language processing to parse a user's search goal, and uses "common sense" reasoning to translate this goal into an effective query. For a source of common sense knowledge, we use Open Mind, a knowledge base of approximately 400,000 simple facts such as "If a pet is sick, take it to the veterinarian" garnered from a Web-wide network of contributors. While we cannot be assured of the robustness of the common sense inference, in a substantial number of cases, GOOSE is more likely to satisfy the user's original search goals than simple keywords or conventional query expansion.