Supporting Information Retrieval via Matchmaking

TLDR: This paper introduces matchmaking, as enabled by knowledge sharing standards like KQML, and gives a brief description of the the SHADE and COINS matchmakers.

Abstract: The massive increase in information available via electronic networks is placing severe burdens on traditional methods of information sharing and retrieval. Matchmaking proposes an intelligent facilitation agent that accepts machine-readable requests and advertisements from information consumers and providers, and determines potential information sharing paths. Matchmaking permits large nmnbers of dynamic consumers and providers, operating on rapidly-changing data, to locate and share information effectively. This paper introduces matchmaking, as enabled by knowledge sharing standards like KQML, and gives a brief description of the the SHADE and COINS matchmakers. In addition, several applications are described to illustrate the utility of matchmaking for information retrieval.