Interoperable metadata semantics with meta-metadata: a use case integrating search engines

A use case involving integrating results from search engines illustrates how the meta-metadata language facilitates interoperable metadata semantics. Formal semantics can be hard to obtain directly. For example, search engines may only present results through web pages; even if they do provide web services, they don’t provide them according to a mutually interoperable standard. We show how to use the open source meta-metadata language to define a common base class for search results, and how to extend the base class to create polymorphic variants that include engine-specific fields. We develop wrappers to extract data from HTML search results from engines including Google, Bing, Delicious, and Slashdot. We write a short meta-search program for integrating the search results, reranking them, and providing formatted HTML output. This provides an extensible formal and functional semantics for search. Meta-metadata also directly enables representing the same integrated search results...

• Type: Journal
• Year: 2011
• Where: DOCENG
• Authors: Yin Qu, Andruid Kerne, Andrew M. Webb, Aaron Herstein
• Keywords: DOCENG 2011, Document Analysis, Formal Semantics, Metadata Language, Polymorphic Variants