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In [[computer science]], an '''inverted index''' (also referred to as '''postings file''' or '''inverted file''') is an [[index (database)|index data structure]] storing a mapping from content, such as words or numbers, to its locations in a [[Table (database)|database file]], or in a document or a set of documents. The purpose of an inverted index is to allow fast [[full text search]]es, at a cost of increased processing when a document is added to the database.  The inverted file may be the database file itself, rather than its [[Index (database)|index]]. It is the most popular data structure used in [[document retrieval]] systems,<ref>{{Harvnb |Zobel|Moffat|Ramamohanarao|1998| Ref=none }}</ref> used on a large scale for example in [[search engine]]s.  Several significant general-purpose [[Mainframe computer|mainframe]]-based [[database management systems]] have used inverted list architectures, including [[ADABAS]], [[DATACOM/DB]], and [[Model 204]].
 
There are two main variants of inverted indexes: A '''record level inverted index''' (or '''inverted file index''' or just '''inverted file''') contains a list of references to documents for each word. A '''word level inverted index''' (or '''full inverted index''' or '''inverted list''') additionally contains the positions of each word within a document.<ref name="isbn0-201-39829-X-p192">{{Harvnb |Baeza-Yates|Ribeiro-Neto|1999| p=192 | Ref=BYR99 }}</ref> The latter form offers more functionality (like [[phrase search]]es), but needs more time and space to be created.
 
==Example==
 
Given the texts
 
T[0] = "it is what it is"
T[1] = "what is it"
T[2] = "it is a banana"
 
we have the following inverted file index (where the integers in the set notation brackets refer to the indexes (or keys) of the text symbols, <code>T[0]</code>, <code>T[1]</code> etc.):
 
"a":      {2}
"banana": {2}
"is":    {0, 1, 2}
"it":    {0, 1, 2}
"what":  {0, 1}
 
A term search for the terms
<code>"what"</code>, <code>"is"</code> and <code>"it"</code> would give the set
<math>\{0,1\} \cap \{0,1,2\} \cap \{0,1,2\} = \{0,1\}</math>.
 
With the same texts, we get the following full inverted index, where the pairs are document numbers and local word numbers. Like the document numbers, local word numbers also begin with zero. So, <code>"banana": {(2, 3)}</code> means the word "banana" is in the third document (<code>T[2]</code>), and it is the fourth word in that document (position 3).
 
"a":      {(2, 2)}
"banana": {(2, 3)}
"is":    {(0, 1), (0, 4), '''(1, 1)''', (2, 1)}
"it":    {(0, 0), (0, 3), '''(1, 2)''', (2, 0)}
"what":  {(0, 2), '''(1, 0)'''}
 
If we run a phrase search for <code>"what is it"</code> we get hits for all the words in both document 0 and 1. But the terms occur consecutively only in document 1.
 
==Applications==
 
The inverted index [[data structure]] is a central component of a typical [[Index (search engine)|search engine indexing algorithm]]. A goal of a search engine implementation is to optimize the speed of the query: find the documents where word X occurs. Once a [[Search engine indexing#The forward index|forward index]] is developed, which stores lists of words per document, it is next inverted to develop an inverted index. Querying the forward index would require sequential iteration through each document and to each word to verify a matching document. The time, memory, and processing resources to perform such a query are not always technically realistic.  Instead of listing the words per document in the forward index, the inverted index data structure is developed which lists the documents per word.
 
With the inverted index created, the query can now be resolved by jumping to the word id (via [[random access]]) in the inverted index.
 
In pre-computer times, [[Concordance (publishing)|concordances]] to important books were manually assembled.  These were effectively inverted indexes with a small amount of accompanying commentary that required a tremendous amount of effort to produce.
 
In bioinformatics, inverted indexes are very important in the [[sequence assembly]] of short fragments of sequenced DNA. One way to find the source of a fragment is to search for it against a reference DNA sequence. A small number of mismatches (due to differences between the sequenced DNA and reference DNA, or errors) can be accounted for by dividing the fragment into smaller fragments—at least one subfragment is likely to match the reference DNA sequence. The matching requires constructing an inverted index of all substrings of a certain length from the reference DNA sequence. Since the human DNA contains more than 3 billion base pairs, and we need to store a DNA substring for every index, and a 32-bit integer for index itself, the storage requirement for such an inverted index would probably be in the tens of gigabytes.
 
==See also==
* [[Index (search engine)]]
* [[Reverse index]]
* [[Vector space model]]
 
== Bibliography ==
*{{cite book |last= Knuth |first= D. E. |authorlink= Donald Knuth |title= [[The Art of Computer Programming]] |publisher= [[Addison-Wesley]] |edition= Third |year= 1997 |origyear= 1973 |location= [[Reading, Massachusetts]] |isbn= 0-201-89685-0 |ref= Knu97 |chapter= 6.5. Retrieval on Secondary Keys}}
*{{cite journal|last= Zobel |first= Justin |coauthors= Moffat, Alistair; Ramamohanarao, Kotagiri |date=December 1998 |title= Inverted files versus signature files for text indexing |journal= ACM Transactions on Database Systems |volume= 23 |issue= 4 |pages=pp. 453–490 |publisher= [[Association for Computing Machinery]] |location= New York |doi= 10.1145/296854.277632 |url= |accessdate= }}
*{{cite journal|last= Zobel |first= Justin RMIT University, Australia |coauthors= Moffat, Alistair The University of Melbourne, Australia |date=July 2006 |title= Inverted Files for Text Search Engines |journal= ACM Computing Surveys |volume= 38 |issue= 2 |pages= 6|publisher= [[Association for Computing Machinery]] |location= New York |doi= 10.1145/1132956.1132959 |url= |accessdate= }}
*{{cite book |last= Baeza-Yates | first = Ricardo |authorlink=Ricardo Baeza-Yates |coauthors=Ribeiro-Neto, Berthier |title= Modern information retrieval |publisher= Addison-Wesley Longman |location= [[Reading, Massachusetts]] |year= 1999 |isbn= 0-201-39829-X |oclc= |doi= |ref= BYR99 |page= 192 }}
*{{cite journal |last= Luk | first = Robert | coauthors=W. Lam | title=Efficient in-memory extensible inverted file | journal = Information Systems | volume = 32 | issue = 5 | pages = 733–754 | year = 2007 | doi = 10.1016/j.is.2006.06.001}}
*{{cite journal |last= Salton | first = Gerard |coauthors=Fox, Edward A.; Wu, Harry |title= Extended Boolean information retrieval |publisher= ACM |year= 1983
|journal = Commun. ACM |volume = 26 |issue = 11 |doi= 10.1145/182.358466 |pages= 1022 }}
*{{cite book |title=Information Retrieval: Implementing and Evaluating Search Engines  |url=http://www.ir.uwaterloo.ca/book/ |publisher=MIT Press |year=2010 |location=Cambridge, Massachusetts |isbn= 978-0-262-02651-2 |author8=Stefan B&uuml;ttcher, Charles L. A. Clarke, and Gordon V. Cormack}}
 
==References==
* {{Harvnb |Knuth|1997| pp=560&ndash;563 of section 6.5: ''Retrieval on Secondary Keys'' | Ref= Knu97 }}
{{Reflist}}
 
==External links==
*[http://www.nist.gov/dads/HTML/invertedIndex.html NIST's Dictionary of Algorithms and Data Structures: inverted index]
*[http://mg4j.dsi.unimi.it Managing Gigabytes for Java] a free full-text search engine for large document collections written in Java.
*[http://lucene.apache.org/java/docs/ Lucene] - Apache Lucene is a full-featured text search engine library written in Java.
*[http://sphinxsearch.com/ Sphinx Search] - Open source high-performance, full-featured text search engine library used by craigslist and others employing an inverted index.
*[http://rosettacode.org/wiki/Inverted_Index Example implementations] on [[Rosetta Code]]
* [http://www.vision.caltech.edu/malaa/software/research/image-search/ Caltech Large Scale Image Search Toolbox]: a Matlab toolbox implementing Inverted File Bag-of-Words image search.
 
[[Category:Data management]]
[[Category:Search algorithms]]
[[Category:Database index techniques]]
[[Category:Substring indices]]

Revision as of 16:54, 23 January 2013

In computer science, an inverted index (also referred to as postings file or inverted file) is an index data structure storing a mapping from content, such as words or numbers, to its locations in a database file, or in a document or a set of documents. The purpose of an inverted index is to allow fast full text searches, at a cost of increased processing when a document is added to the database. The inverted file may be the database file itself, rather than its index. It is the most popular data structure used in document retrieval systems,[1] used on a large scale for example in search engines. Several significant general-purpose mainframe-based database management systems have used inverted list architectures, including ADABAS, DATACOM/DB, and Model 204.

There are two main variants of inverted indexes: A record level inverted index (or inverted file index or just inverted file) contains a list of references to documents for each word. A word level inverted index (or full inverted index or inverted list) additionally contains the positions of each word within a document.[2] The latter form offers more functionality (like phrase searches), but needs more time and space to be created.

Example

Given the texts

T[0] = "it is what it is"
T[1] = "what is it"
T[2] = "it is a banana"

we have the following inverted file index (where the integers in the set notation brackets refer to the indexes (or keys) of the text symbols, T[0], T[1] etc.):

"a":      {2}
"banana": {2}
"is":     {0, 1, 2}
"it":     {0, 1, 2}
"what":   {0, 1}

A term search for the terms "what", "is" and "it" would give the set .

With the same texts, we get the following full inverted index, where the pairs are document numbers and local word numbers. Like the document numbers, local word numbers also begin with zero. So, "banana": {(2, 3)} means the word "banana" is in the third document (T[2]), and it is the fourth word in that document (position 3).

"a":      {(2, 2)}
"banana": {(2, 3)}
"is":     {(0, 1), (0, 4), (1, 1), (2, 1)}
"it":     {(0, 0), (0, 3), (1, 2), (2, 0)} 
"what":   {(0, 2), (1, 0)}

If we run a phrase search for "what is it" we get hits for all the words in both document 0 and 1. But the terms occur consecutively only in document 1.

Applications

The inverted index data structure is a central component of a typical search engine indexing algorithm. A goal of a search engine implementation is to optimize the speed of the query: find the documents where word X occurs. Once a forward index is developed, which stores lists of words per document, it is next inverted to develop an inverted index. Querying the forward index would require sequential iteration through each document and to each word to verify a matching document. The time, memory, and processing resources to perform such a query are not always technically realistic. Instead of listing the words per document in the forward index, the inverted index data structure is developed which lists the documents per word.

With the inverted index created, the query can now be resolved by jumping to the word id (via random access) in the inverted index.

In pre-computer times, concordances to important books were manually assembled. These were effectively inverted indexes with a small amount of accompanying commentary that required a tremendous amount of effort to produce.

In bioinformatics, inverted indexes are very important in the sequence assembly of short fragments of sequenced DNA. One way to find the source of a fragment is to search for it against a reference DNA sequence. A small number of mismatches (due to differences between the sequenced DNA and reference DNA, or errors) can be accounted for by dividing the fragment into smaller fragments—at least one subfragment is likely to match the reference DNA sequence. The matching requires constructing an inverted index of all substrings of a certain length from the reference DNA sequence. Since the human DNA contains more than 3 billion base pairs, and we need to store a DNA substring for every index, and a 32-bit integer for index itself, the storage requirement for such an inverted index would probably be in the tens of gigabytes.

See also

Bibliography

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    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

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  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

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    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

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    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

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  • 20 year-old Real Estate Agent Rusty from Saint-Paul, has hobbies and interests which includes monopoly, property developers in singapore and poker. Will soon undertake a contiki trip that may include going to the Lower Valley of the Omo.

    My blog: http://www.primaboinca.com/view_profile.php?userid=5889534
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • 20 year-old Real Estate Agent Rusty from Saint-Paul, has hobbies and interests which includes monopoly, property developers in singapore and poker. Will soon undertake a contiki trip that may include going to the Lower Valley of the Omo.

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References

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External links