A desktop collaborative tagging system for personal information search based on concept space
Date Issued
2007
Date
2007
Author(s)
Chen, Yen-Lin
DOI
en-US
Abstract
With the advent of Internet, the amount of information grows dramatically and causes information overload which refers to the situation of having too much information to make a decision. To solve this problem, collaborative tagging systems form a categorization called folksonomy to organize web resources. A folksonomy aggregates results of personal free tagging of information and objects to form a categorization structure utilizing intelligence of crowd. Compared with traditional taxonomy established by expert catalogers, folksonomy is more appropriate for organizing huge amount of information on the Web. However, characteristics of collaborative tagging systems and their folksonomy make them infeasible for organizing resources in personal environment.
We design a desktop collaborative tagging (DCT) system which allows collaborative workers to tag their documents. Folksonomy in DCT is constructed by aggregation of personal tagging results and represented by concept space. Concept space offers synonym control, tag recommendation, and relevant search. Besides, we build relations between tagged documents and untagged ones by extracting document’s features instead of using full text for protecting personal document privacy.
Experimental results show that adoption rate of recommended tags for new documents grows 10% after users tagged five or six documents. Besides, when new documents are on similar topic of previously tagged ones, DCT can recommend tags with higher adoption rate. It is observed that relevant search in DCT is superior than keyword search when we use frequently used tags as queries. On average, precision, recall, F-measure of DCT are 12.12%, 23.08%, 26.92% greater than those of keyword search.
DCT enables a multi-faceted categorization of resources for collaborative workers. It also recommends tags for categorizing resources to make categorization easier. In addition, we provides relevant search, which is more effective than traditional keyword search, for searching personal resources.
Subjects
標記
協同標記
通俗分類
概念空間
tagging
collaborative tagging
folksonomy
concept space
personal information management
Type
other
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