Document keyphrases as subject metadata: incorporating document key concepts in search results

• Published in: Information retrieval (Boston) Vol. 11; no. 3; pp. 229 - 249
• Main Authors: Wu, Yi-fang Brook, Li, Quanzhi
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.06.2008; Springer; Springer Nature B.V
• Subjects: Algorithms; Computer Science; Data Mining and Knowledge Discovery; Data Structures and Information Theory; Digital libraries; Documents; Dublin Core Format; Exact sciences and technology; Information and communication sciences; Information processing and retrieval; Information retrieval; Information retrieval. Man machine relationship; Information science. Documentation; Information Storage and Retrieval; Interfaces; Keywords; Metadata; Natural Language Processing (NLP); Pattern Recognition; Relevance feedback; Research process. Evaluation; Retrieval performance measures; Sciences and techniques of general use; Search engines; Studies; Document metadata; Keyphrase extraction; Document surrogate; Search interface; Document keyphrase; Document surrogate .Search interface; Query expansion; Information retrieval; Keyphrase extraction .Document metadata .Document keyphrase; Knowledge extraction; Search algorithm
• ISSN: 1386-4564; 1573-7659
• DOI: 10.1007/s10791-008-9044-1

Most search engines display some document metadata, such as title, snippet and URL, in conjunction with the returned hits to aid users in determining documents. However, metadata is usually fragmented pieces of information that, even when combined, does not provide an overview of a returned document. In this paper, we propose a mechanism of enriching metadata of the returned results by incorporating automatically extracted document keyphrases with each returned hit. We hypothesize that keyphrases of a document can better represent the major theme in that document. Therefore, by examining the keyphrases in each returned hit, users can better predict the content of documents and the time spent on downloading and examining the irrelevant documents will be reduced substantially.