Microsoft Technology Licensing, LLC

Xingrong Chen

Lei Zhang

Rong Xiao

Jiangming Yang

A location extraction component analyzes a set of travelogues to identify all of the locations mentioned therein. A co-occurrence extraction component computes co-occurrence values for the identified locations. When the identity of a specified location is received, suggested locations for the specified location are identified through the use of the co-occurrence values. A map is displayed that encompasses an area including the specified location and the suggested locations. The map might include indicators for the specified location and for each of the suggested locations. Attributes of the indicators, such as their size or color, can be modified based upon the co-occurrence value associated with the corresponding suggested location.

Travelogue locating mining for travel suggestion

Concepts and technologies are described herein for identifying location names within document text. Through an implementation of the concepts and technologies presented herein, functionality can be provided for identifying location names within articles, websites, travelogues, or other such documents. For instance, documents containing the names of cities, regions, countries, landmarks, or other locations may be associated with those locations. The location names may be unambiguously identified even when the location names may also have common word meanings that are not location associated or when the location name may be associated with more than one location.

Identifying location names within document text

Concepts and technologies are described herein for mining location contexts within document text. Through an implementation of the concepts and technologies presented herein, functionality can be provided for location context mining within articles, websites, travelogues, or other such documents. A location context is a concept associated with a specific location. For example, the contexts 'beach' and 'hula' are associated with Hawaii. Similarly, &#x201c;glacier&#x201d; and &#x201c;polar bear&#x201d; are contexts associated with Alaska. Location context mining can automatically discover locations and location contexts by mining information from a set of documents. User interfaces to support queries of the mined information are also presented herein.

Location context mining

A map user interface control provides functionality for displaying a map in conjunction with the display of a Web page. The map control operates in combination with a location extraction component that analyzes the contents of the Web page to identify locations mentioned therein. Once the location extraction component has identified the locations mentioned in the Web page, a map is generated that encompasses the locations identified in the Web page. Once the map has been generated, the map control displays the map in conjunction with the display of the Web page. The map might include visual indicators corresponding to the locations mentioned in the Web page. The map might also include visual indicators corresponding to other locations near the locations identified in the Web page that have been identified using co-occurrence values generated through an analysis of a set of travelogues.

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Xingrong Chen