Pre-Grant Publication Number: 20080307053
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Prior Art Detail
#409Multi-Dimensional Scattered Ranking Methods for Geographic Information Retrieval
Applies to Claims 1
Summary / Description
| Summary / Description | Geographic Information Retrieval is concerned with retrieving documents in response to a spatially related query. This paper addresses the ranking of documents by both textual and spatial relevance. To this end, we introduce multi-dimensional scattered ranking, where textually and spatially similar documents are ranked spread in the list, instead of consecutively. The effect of this is that documents close together in the ranked list have less redundant information. We present various ranking methods of this type, efficient algorithms to implement them, and experiments to show the outcome of the methods. |
Basic Information
| Type of Prior Art | Print Publication |
| Publication Title * | GeoInformatica |
| Author | MARC VAN KREVELD, IRIS REINBACHER, AVI ARAMPATZIS AND ROELOF VAN ZWOL |
| ISBN | |
| Page Range | |
| Medium | Journal article |
| Publication Date * | November 15, 2004 |
| URL | |
Notes / To Do
| Notes | Entered for Manny Schecter by Diane Willis. |
Excerpt
Excerpt The most common way to return a set of documents obtained from a Web query is by a
ranked list. The search engine attempts to determine which document seems to be the
most relevant to the user and will put it first in the list. In short, every document receives
a score, or distance to the query, and the returned documents are sorted by this score or
distance.
There are situations where the sorting by score may not be the most useful one. When
a more complex query is done, composed of more than one query term or aspect,
documents can also be returned with two or more scores instead of one. This is
particularly useful in geographic information retrieval |
Relevance
Claims
1
Relevance
Disclosed are is background for methods of geographically ranking retrieval of information.
Disclosed are is background for methods of geographically ranking retrieval of information.
Claim Chart
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