This paper describes approaches used by web search tools to communicate with users. With respect to different kinds of information resources, we examine interactive interfaces that use textual queries, tag-focused navigation, hyperlink navigation, visual features, etc. Among others, we introduce the design vision and describe the implementation of a visual-interface based on concepts of query token network and the WordNet ontology.
목차
Abstract I. INTRODUCTION II. WEB SEARCH USER INTERFACE: TYPES AND SITES A. General Purpose Search Services B. Searching Specific Information C. Techniques to Improve Search Navigation D. Approaches Based on Term Relationships E. Using The Semantic Web III. LEARNING COGNITIVE SYNONYMS, OR SYNSETS A. Importance of Learning Synonyms in Linguistics IV. WORDNET BASED SEARCH ASSISTANT A. User Query Modification B. Representing the Query in the Form of a Token Network C. Interactive Query Modification D. The Implementation E. Using the Search Assistant: the Example V. CONCLUSIONS AND FURTHER WORK ACKNOWLEDGMENTS REFERENCES
키워드
web searchsearch problemsquery modificationsynsetsontologyWordNet
저자
Evgeny Pyshkin [ Dept. of Computer Systems and Software Engineering, Saint-Petersburg State Polytechnical University, Saint-Petersburg, Russian Federation ]
Andrey Kuznetsov [ Dept. of Computer Systems and Software Engineering, Saint-Petersburg State Polytechnical University, Saint-Petersburg, Russian Federation ]