Similarity Let us / Prentice-Hall / MIT Press / ACM Press / Google / Morgan Kaufmann Publishers Inc. / McGraw-Hill / IBM Press / Pearson / John Wiley and Sons / Yahoo! / /
Country
Cuba / Japan / Russia / Jamaica / / /
Facility
University Bloomington / AVIDD facility / /
IndustryTerm
Web search tools / citation networks / target Web page / search process / search sites / Web search mechanism / early search engines / shortest path algorithm / target Web / information retrieval systems / large-scale hypertextual Web search engine / Web Conference / similarity search / Web API / semantic mining / Approximation algorithms / Web interface / candidate Web pages / potential applications / minimum cut/maximum flow algorithms / massive data mining effort / Web search mechanisms / Internet Computing / search engines / Web search techniques / Web mining / Web search / search techniques / web text / target Web page pT / Web directories / search engine / Web results / Web page similarity / scientific computing / search results / search engine user perspective / /
OperatingSystem
Linux / /
Organization
National Science Foundation / MIT / IBM Centre for Advanced Studies / IDF / American Society for Information Science / School of Informatics Indiana University Bloomington / Department of Computer Science / International World Wide Web Conference Committee / /
Person
Filippo Menczer / Posters Proc / Developing Web / Heather Roinestad / Alessandro Vespignani / Ana G. Maguitman / / /
Position
standard Porter / ABSTRACT General / representative / candidate / /
Algorithmic Detection of Semantic Similarity Ana G. Maguitman†‡ [removed] Filippo Menczer†‡ [removed]