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hidden relationships between items based upon users' interactions with them, and we can also perform ontology mining to learn which keywords are semantically-related to other keywords based upon how they are used together by similar users as recorded in search engine query logs. The biggest challenge to this collaborative
Tagging refers to the metadata that many users added in the form of keywords on photos, videos, and other resources for sharing the contents via the internet. However, there are several difficulties with tagging that come from tag variation, tag ambiguity and flat organization. This paper presents the integration of
search engine prototype backed by Supplejack, which has been loaded with sample metadata from a variety of organizations in Ontario and British Columbia with diverse metadata schema. Keywords--supplejack, digital library, search portal, ingest, metadata, ourdigitalworld, odw, british columbia library association, bcla
Finding relevant and reliable information on the web is a non-trivial task. While internet search engines do find correct web pages with respect to a set of keywords, they often cannot ensure the relevance or reliability of their content. An emerging trend is to harness internet users in the spirit of Web 2.0, to
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.