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SmartData Collective > Analytics > Text Analytics > Factual’s Crosswalk API
Text Analytics

Factual’s Crosswalk API

matthewhurst
matthewhurst
4 Min Read
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Factual, which is mining the web for knowledge using a variety of web mining methods, has released an API in the local space which aims to expose, for a specific local entity (e.g. a restaurant) the places on the web that it is mentioned. For example, you might find for a restaurant its homepage, its listing on Yelp, its listing on UrbanSpoon, etc.

This mapping between entities and mentions is potentially a powerful utility. Given all these mentions, if some of the data changes (e.g. via a user update on a Yelp page) then the central knowledge base information for that entity can be updated.

You can try out the system at this demo site.

There are many challenges in this enterprise. Perhaps most importantly, there is the central issue of matching records. While there are obvious scale and performance concerns (do you really want to match 10 million Yelp entities against 10 million Yelp entities?) the key problem is, when comparing two records determining not if they are identical statements but if they are statements about the same real world entity. This is a challenge because the ‘truth’ about that entity may change – phone numbers change, addresses change and even names change. This can be particularly troubling with high density chain brands like Starbucks.

Browsing through the data on Factual’s demo site, I came across many cases where this matching was overly aggresive (what we call over matches – statements about multiple real world entities being conflated onto a single entity)

 

For example, this entity:
Wild Ginger Thai Cuisine
124 Washington St
Norwell, MA 02061 US
(781) 347-4687
is linked to the following:
http://www.yelp.com/biz/wild-ginger-norwell (correct)
but also has links to
http://www.insiderpages.com/b/3715376667/siam-cuisine-hanover
Siam Cuisine
370 Columbia Rd
Hanover, MA 02339
781-826-1115
http://www.dexknows.com/business_profiles/the_make_and_take_kitchen-l801392119/
The Make & Take Kitchen
433 Washington St.
Norwell, MA 02061
(781) 659-2440
http://www.insiderpages.com/b/5952045094/maung-thai-restaurant-hingham
Maung Thai Restaurant
74 North St.
Hingham, MA 02043
781-740-1218
http://www.dexknows.com/business_profiles/mcdonald_s-l804749993/
McDonald’s
57 Washington St
Norwell, MA 02061
(781) 878-8068
Similarly, his entity:
Wild Ginger China Bistro
3694 Burbank Rd
Wooster, OH 44691 US
(330) 345-6388
is linked to 
Pizza Hut
1831 Beall Ave
Wooster, OH 44691
(330) 262-6202
http://local.yahoo.com/info-15692932-pizza-hut-wooster
For example, this entity:
Wild Ginger Thai Cuisine
124 Washington St
Norwell, MA 02061 US
(781) 347-4687
is linked to the following:
http://www.yelp.com/biz/wild-ginger-norwell (correct)
but also has links to
http://www.insiderpages.com/b/3715376667/siam-cuisine-hanover
Siam Cuisine
370 Columbia Rd
Hanover, MA 02339
781-826-1115
http://www.dexknows.com/business_profiles/the_make_and_take_kitchen-l801392119/
The Make & Take Kitchen
433 Washington St.
Norwell, MA 02061
(781) 659-2440
http://www.insiderpages.com/b/5952045094/maung-thai-restaurant-hingham
Maung Thai Restaurant
74 North St.
Hingham, MA 02043
781-740-1218
http://www.dexknows.com/business_profiles/mcdonald_s-l804749993/
McDonald’s
57 Washington St
Norwell, MA 02061
(781) 878-8068
Similarly, this entity:
Wild Ginger China Bistro
3694 Burbank Rd
Wooster, OH 44691 US
(330) 345-6388
is linked to 
Pizza Hut
1831 Beall Ave
Wooster, OH 44691
(330) 262-6202
http://local.yahoo.com/info-15692932-pizza-hut-wooster

 

 

 

 

The fundamental problem here is that a number of these sites, while they have a ‘main’ entity on their page, also mention other entities (e.g. for recommending alternatives to the user). However, these recommendations are not guaranteed to be stable (you may get different recommendations at any time). This fundamental problem illustrates why document analysis (understanding the layout of the document and consequently what the document is ‘about’ through the position of mentions of entities) is key if one wants to accurately mine the web for knowledge of this sort.

 

 

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