====PAGE-LEVEL METADATA====
University Daily Kansan
Page 0484 from reel: NP 7215 (1998-01-12 to 1998-07-22)
https://digital.lib.ku.edu/ku-udk/126961

Title: KU Tennis to Match Syracuse, Ohio State
Summary: The Kansas women's tennis team prepares for matches against Syracuse and Ohio State, while the men's team looks to secure their first win of the season against ranked opponents.
Category: sports
Subjects: tennis; university sports; athletic competition
Named Entities: Thornqvist, Roland [tennis coach]; Abaroa, Enrique [tennis player]
Confidence: 0.9

Title: NCAA Bid Awaits Ex-Ku Assistant
Summary: Illinois State basketball coach Kevin Stallings, a former KU assistant, hopes to secure an NCAA tournament bid for his team as they compete in the Missouri Valley Conference tournament.
Category: sports
Subjects: college basketball; NCAA tournament; coaching
Named Entities: Hill, Rico [basketball coach]; Stallings, Kevin [basketball coach]
Confidence: 0.85

Title: Krzyzewskiville Houses Dukies
Summary: Students at Duke University set up a tent camp called Krzyzewskiville to secure tickets for basketball games, with some camping for weeks in advance of major matchups.
Category: features/profiles
Subjects: college basketball; student traditions; Duke University
Named Entities: Krzyzewski, Mike [basketball coach]; Hamilton, Chris [student]
Confidence: 0.8

Title: Foreign Players Earn Nominations for Hall of Fame
Summary: Brazilian basketball star Ubiratan Maciel and Yugoslavian coach Aleksandar Nikolic have been nominated for the Basketball Hall of Fame, recognizing their international contributions to the sport.
Category: sports
Subjects: basketball; international players; Hall of Fame
Named Entities: Maciel, Ubiratan [basketball player]; Nikolic, Aleksandar [basketball coach]
Confidence: 0.8

Title: [advertisements]
Advertisers include: Sunflower Outdoor & Bike; Owl Honor Society; University of Kansas School of Fine Arts Lied Center; Miss Street Deli; Academic Computing Services; Sports Page Brewery
Category: advertisements
Confidence: 0.9

Note: Descriptive metadata for this item has been generated in part using AI (artificial intelligence) technologies and may be incomplete, misleading, or inaccurate. Please contact the Kenneth Spencer Research Library with specific questions or concerns.