M
Mark A. Sheldon
Researcher at Massachusetts Institute of Technology
Publications - 10
Citations - 1162
Mark A. Sheldon is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Effect system & Query optimization. The author has an hindex of 9, co-authored 10 publications receiving 1158 citations.
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Proceedings ArticleDOI
Semantic file systems
TL;DR: Experimental results from a semantic file system implementation support the thesis that semantic file systems present a more effective storage abstraction than do traditional tree structured file systems for information sharing and command level programming.
Proceedings ArticleDOI
HyPursuit: a hierarchical network search engine that exploits content-link hypertext clustering
TL;DR: Experience with HyPursuit suggests that abstraction functions based on hypertext clustering can be used to construct meaningful and scalable cluster hierarchies, and is encouraged by preliminary results on clustering based on both document contents and hyperlink structures.
Proceedings ArticleDOI
Fast and effective query refinement
TL;DR: RMAP as mentioned in this paper is a fast and practical query refinement algorithm that refines multiple term queries by dynamically combining precomputed suggestions for single term queries and achieves accuracy comparable to a much slower algorithm, although both algorithms lag behind the best possible term suggestions offered by the oracle.
Journal ArticleDOI
Discover: a resource discovery system based on content routing
TL;DR: The experience with query refinement has convinced us that the expansion of query fragments is essential in helping one use a large, dynamically changing, heterogenous distributed information system.
Book ChapterDOI
Content routing for distributed information servers
TL;DR: A system that provides query based associative access to the contents of distributed information servers using content labels to permit users to learn about available resources and to formulate queries with adequate discriminatory power is described.