Proximity+Searching+Block+C

= = = __PROXIMITY SEARCHING__ **is awesome** =

**What is proximity searching?**
Proximity Searching is a type of searching where you can seperate words when you search a topic. You can seperate words in your search in order to find documents and websites with those words that are seperated. For example, if you want to search up England and Manchester United, but you don't want those words to be together on the pages you search, you would use proximity searching. Furthermore, with proximity searching, for certain serach enginges, you can seperate the words with different distances.

**Why should we use it?**
People use Proximity Searching in order to find two terms which should be related within a document and within a certain distance from each other. This distance is referring to the number of characters between the two words being searched for. Proximity Searching gives a search the ability to find two words within certain limitations decided upon by the person searching.

This search is useful for many purposes such as limiting the types of phrases to be searched for in order to avoid search results which involve the words being scattered around a page, but rather, to find them near each other, hence, having close proximity or being in the same phrase.

Other uses include searching for two words which should be found within a relative distance of each other to make sure that articles make correct references to both. Proximity Searching is especially useful when using resources such as EBSCO Host, Google, JSTOR, and United Streaming.

**How do we use it?**
__**EBSCO**__ Proximity searching in EBSCO can be simply done by following the "How do we use it?" instructions. If a search "NEAR" a certain number wants to be done, the letter "N" will be typed with the number needed beside it. This is the same for the "WITHIN" option. The letter "W" and the number needed is typed beside the search phrase or word. For example, N6 would find the words that are within 6 words of one another regardless of the order in which they appear, while W8 finds the words if they are within eight words of one another and in the order in which you entered them.

**Figure 1. (2010). EBSCO search bar with proximity search, [On-line Image]. Retrieved October 10, 2010 from EBSCO Host On-line.** http://web.ebscohost.com/ehost/search?vid=2&hid=10&sid=93ea931f-de7b-4af7-b8e1-62f5200ebe21%40sessionmgr12 **Figure 2. (2010). EBSCO search results, [On-line Image]. Retrieved October 10, 2010 from EBSCO Host On-line.** []- 62f5200ebe21%40sessionmgr12&bquery=(weapons+N5+israel)&bdata=JmRiPXVsaCZ0eXBlPTAmc2l0ZT1laG9zdC1saXZl

__**JSTOR**__ Proximity searching can be done in JSTOR by both general and advance search options. To conduct proximity searching in JSTOR, only two quotation marks and a tilde is needed. For example, if a student wants to research about atoms and nuclear reactions approximately 10 words within each other, the student will type "atoms nuclear reaction"~10. "~" is the tilde mentioned above. For an easier method, a student can enter the "Advanced Search" feature by clicking on it on the bottom of the general search bar. When in the advance search page, it will give the student two search bars. The student can perform proximity searching by entering the one word each on the search bars, and in between, choosing either the "NEAR5", "NEAR10" or "NEAR25" option. Unlike most other sources, Google makes use of a Wild Card system which is used to show how close the identified words are to each other.To use a proximity search on google, * are used to identify which words are seperated from the others. **Figure 3. (2010). JSTOR search bar, [On-line Image]. Retrieved October 10, 2010 from JSTOR On-line.** [|**http://www.jstor.org/action/showAdvancedSearch**] **﻿**   **Figure 5. (2010). JSTOR advanced search, [On-line Image]. Retrieved October 10, 2010 from JSTOR On-line.** http://www.jstor.org/action/showAdvancedSearch
 * Figure 4. (2010). JSTOR search results, [On-line Image]. Retrieved October 10, 2010 from JSTOR On-line.** [|**http://www.jstor.org/**]   [[image:screen-capture.png]]

__**UNITED STREAMING **__ Proximity Searching in United Streaming can be used by entering a keyword, and then “NEAR” and then another keyword which you expect to be close to the first keyword in the article. By entering “NEAR”, the search will find articles which contain both keywords, not necessarily in the same order. You can also enter a keyword, and then enter “ONNEAR”, and then another keyword, to search for two keywords which are in the same article and in the same order in which they were entered. With United Streaming, proximity searching can be done without special advanced functions from a menu. All that needs to be done is to enter the two keywords with one of the two options in between, “NEAR”, or “ONNEAR”. “NEAR” to find both keywords in any order in any article, and “ONNEAR” to find both keywords in the order specified in the search. This makes searching much more specific and accurate, and increases efficiency of the search.  Figure 6. (2010). United Streaming search bar, [On-line Image]. Retrieved October 10, 2010 from United Streaming, On-line. http://www.worldbookonline.com/wb/products?ed=all&gr=Welcome+International+School+Manila  __**GOOGLE**__ Unlike most other sources, Google makes use of a Wild Card system which is used to show how close the identified words are to each other. To use a proximity search on google, * are used to identify which words are seperated from the others. For example: "School * * * Application" would allow google to indicate that it has to search for the words School and Application with at least three additional words between them. To complete the function, it is required that " 's are used in order to specify the sentence in which you want it to search. **Figure 7. (2010). Google Search Bar, [On-line Image].** Retrieved October 10, 2010 from Google, On-line. [|http://www.google.com]  
 * Figure 8. (2010). Google Search results,** [On-line Image]. Retrieved October 10, 2010 from Google, On-line. http://www.google.com.ph/search?hl=tl&source=hp&q=israel+weapons&aq=f&aqi=g3&aql=&oq=&gs_rfai=

**Works Cited**
"Proximity Search (Text)." Wikipedia. Wikipedia, 22 February 2010. Web. http://en.wikipedia.org/wiki/Proximity_search_(text). "Searching EBSCO Databases." //Logan Library - Home//. Web. 06 Oct. 2010.[].