Availability of Document using Querying and Content
| dc.contributor.author | SHAMS TABREZ B | |
| dc.date.accessioned | 2019-07-04T11:43:41Z | |
| dc.date.available | 2019-07-04T11:43:41Z | |
| dc.date.issued | 2019-07-04T11:43:41Z | |
| dc.description.abstract | There are many application domains where users create and share information; for instance, news blogs, scientific networks, social networking groups, or disaster management networks. Current information sharing tools, like content management software (e.g., Microsoft SharePoint), allow users to share documents and annotate (tag) them in an ad-hoc way. Similarly, Google Base allows users to define attributes for their objects or choose from predefined templates. This annotation process can facilitate subsequent information discovery. Many annotation systems allow only “un typed” keyword annotation: for instance, a user may annotate a weather report using a tag such as “Storm Category 3”. Annotation strategies that use attribute-value pairs are generally more expressive, as they can contain more information than un typed approaches. In such settings, the above information can be entered as (Storm Category, 3). A recent line of work towards using more expressive queries that leverage such annotations, is the “pay- as-you-go” querying strategy in Dataspaces: In Dataspaces, users provide data integration hints at query time. The assumption in such systems is that the data sources already contain structured information and the problem is to match the query attributes with the source attributes. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/10934 | |
| dc.language.iso | en | en_US |
| dc.subject | 1NZ17MCA82 | en_US |
| dc.title | Availability of Document using Querying and Content | en_US |
| dc.type | Other | en_US |