 scripts are often run on servers through a Common Gateway Interface (CGI) to implement data entry. Programming languages, such as, Java, are also being extended to support data entry on the Web.
These parts are well-suited for electronic communication and commerce between remote users. Indeed, the popularity and use of the Internet and World Wide Web has increased drarnatically. The number of Web sites and Web pages continues to grow. As the Internet has experienced explosive growth, the amount of information available has reached staggering proportions. But, this seemingly endless excess of information creates one of the most challenging issues on the Internet today. Put simply, the ability to intelligently and reliably connect users to xe2x80x98just the right informationxe2x80x99, represents a continuing challenge, and a huge opportunity.
There is currently awide selection ofweb-based xe2x80x98search enginesxe2x80x99 to search this information (AltaVista, Excite, InfoSeek, AskJeeves, Northern Light, Google, etc.). Search engines use different ways to try to find information most relevant to user""s search query. For example, index-based search engines index Internet documents to facilitate searching. The ever-growing amount makes it difficult to index Internet content. Indeed, some estimate only 15%-20% of Internet information or data is indexed at present. This approach can also be overly literal and can fail to take into account words having a similar meaning to words of a search query. Concept-based search engines rely on a taxonomy (also called a tree) to facilitate searching data but are also limited in their ability to deliver the xe2x80x9cright informationxe2x80x9d sought by a user.
For instance, general-purpose navigational search engines (including index type or concept type search engines) are designed to search the entire Internet, that is, they are meant to help people navigate to locations on the Internet that may contain relevant information. They are not easily used to search subsets of coherent data such as a database of independent contractors and their skill sets. Such search engines generally do not leverage knowledge about data in a database to facilitate search query formulation. Knowledge about data in a database is further not leveraged interactively with a user to facilitate and focus a search in real-time.
Many search engines include some level of search xe2x80x98intelligencexe2x80x99. The xe2x80x98intelligence
scripts are often run on servers through a Common Gateway Interface (CGI) to enforce datum entry. Programming lyric, such as, Java, are besides being extended to support data introduction on the Web. 
 These parts are well - suit for electronic communication and commerce between remote drug user. Indeed, the popularity and use of the Internet and World Wide Web has increased drarnatically. The numeral of Web sites and Web pages continues to turn. As the Internet has experienced explosive growth, the amount of data available has reached staggering proportion. But, this seemingly dateless excess of data creates one of the most challenging issues on the Internet today. invest simply, the ability to intelligently and reliably connect users to xe2x80x98just the right informationxe2x80x99, constitute a continuing challenge, and a huge opportunity. 
 There is currently awide selection ofweb - based xe2x80x98search enginesxe2x80x99 to search this information (AltaVista, Excite, InfoSeek, AskJeeves, Northern Light, Google, etc .). Search engines use different way to try to find data about relevant to user""s search query. For example, index - based search locomotive index Internet documents to facilitate searching. The always - growing amount makes it difficult to index Internet content. Indeed, some estimate only 15%-20% of Internet information or data is indexed at present. This approach can also be excessively literal and can fail to accept into account words having a similar meaning to words of a search question. Concept - based search engines rely on a taxonomy (also called a tree) to facilitate searching data but are also limit in their ability to deliver the xe2x80x9cright informationxe2x80x9d sought by a exploiter. 
 For instance, cosmopolitan - purpose navigational search engines (including index character or concept type search engines) are designed to research the entire Internet, that is, they are meant to help people navigate to locations on the Internet that may contain relevant information. They are not easily used to search subsets of coherent datum such as a database of independent contractors and their skill set. Such search engines generally do not leverage knowledge about data in a database to facilitate search query formulation. cognition about data in a database is further not leveraged interactively with a user to facilitate and focus a search in real - time. 
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scripts are often run on servers through Gateway (CGI) to data entry. Programming also extended to support entry on the These parts are well-suited for electronic and commerce between remote users. Indeed, the popularity and use of the Internet World Wide Web has increased drarnatically. The number of Web sites and Web continues grow. the has experienced explosive growth, the amount of information available has reached staggering proportions. But, this seemingly excess of information creates one of the most issues on the Internet Put simply, the ability to and connect users xe2x80x98just right represents a continuing and a huge opportunity. There is currently awide selection ofweb-based xe2x80x98search enginesxe2x80x99 to search this information (AltaVista, InfoSeek, AskJeeves, Google, etc.). engines different to try to most relevant to user""s search query. search engines index Internet documents to facilitate searching. ever-growing amount it difficult to index Internet content. some estimate only 15%-20% of Internet information or is indexed at present. This approach can also be overly literal and can fail to account words having a meaning to words a query. search rely on taxonomy (also called a tree) to facilitate searching data but are limited in their ability to deliver the xe2x80x9cright informationxe2x80x9d sought user. instance, general-purpose navigational engines (including index type concept search engines) are designed the Internet, are to people navigate to locations the Internet that may contain information. They are not of coherent data such as a database of contractors and their skill sets. Such search generally do not leverage knowledge about data in a database to facilitate query formulation. data in a database is further not leveraged with a user to and focus a search in real-time. Many search engines some of search The xe2x80x98intelligence
 scripts are often run on serveRs through a commoN GaTewAy inteRfacE (CGI) to implemenT Data Entry. Programming languaGes, suCh AS, JavA, ArE also Being exTEnDED to SuPpOrt DaTA eNtry oN thE Web.
TheSe parts are WelL-sUited for elecTRoNic communiCatIon and commerCe bEtween ReMotE Users. indEed, thE populARity anD use of the inTErnet aND World WIDE WEb haS increased drarnatICaLLy. The number of WEb siteS aND WEB PagEs cOntinues to GrOw. As tHE InternET hAS EXpeRIenced explosiVe growth, the AMouNt of inFoRmaTIon avaIlablE hAS reAched staggeRing ProportioNs. But, tHIs seemiNGly endlEss excEss Of iNforMAtIoN crEaTEs oNE oF thE MosT challenGiNg IssueS on tHE iNTernEt tOday. put siMply, the abilitY to InteLLigEntly And reLiabLy ConneCt userS to xe2X80x98Just the right infOrmaTionxe2x80x99, rEprEsEntS a ContiNUing chAllEngE, and a huGe opporTUniTy.
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FoR instAnce, General-puRpoSe naviGatIOnal seArch enGines (InCluDINg indEX TyPe oR cOncept type SEArcH engiNeS) are DesigneD to search the entire iNteRnet, that is, theY arE meaNT To HelP PeOPle NaVIgaTE To locations on thE Internet tHaT MaY contain reLEvaNt InformaTion. TheY are nOT easily Used to seaRch subsetS oF cohEREnt Data such as A databasE of indepeNDent cONtRactoRs aNd theiR sKilL sets. such seARch EnginEs geneRaLly do nOt levErAge knowlEdge about data in a databasE to facIlitaTe sEarch querY foRMulAtion. KnowLedgE about data In a DatAbase Is fURther Not lEVeRagED inteRactIVely with a USeR to FACiLitate and foCUS A seArch iN reAL-time.
MAny sEarch engines incluDE some level of seArch XE2X80x98iNteLLigeNcExe2x80x99. The xe2x80x98inTelLiGENce
 scripts are often run onservers th rough  aCom mo n Ga tewa y Interface (C G I) t o implement data entry . Pro gr a mmin g  l angua ges, su c ha s , J av a,  ar ea ls o bei ngextende d to suppo rtda ta entry ont he  Web.
Thes e p arts are wel l-s uitedfo r e l ectro nic  comm unicat i on and  commerce  b e tweenr emote u s e rs . In deed, the popular i ty and use of the  Inter ne t  a n d  Wo rld  Wide Webha s inc r eased d r ar n a t ica l ly. The numbe r of Web si t esand We bpag e s cont inues  t o  gr ow. As theInte rnet hasexperi e nced ex p losivegrowth , t heamou n tof  in fo r mat i on  av a ila ble hasre ac hed s tagg e r i n g pr opo rtio ns. B ut, this seem ing ly e n dle ss ex cessof i nf ormat ion cr eates  o ne of the mostchal lenging i ssu es  on  t he In t ernettod ay.  Put si mply, t h e a bi l i t yto intelligently a nd r el iably co nnectu se rs to xe2x8 0x 98j ustt h e rig ht i n fo rmationx e2x80x 9 9,  r epresen ts  a con ti nui ngchall e nge,  and a  huge op portu n ity.
There isc urrently awid e  s e l ec t ionofw eb-based xe 2x80 x 98se arch en gin e sxe2x 80x99  t o  s e arch this informati on  (Alta Vista , Excite, Inf oSeek, Ask J e e ves, Nor ther n  L i ght, Google, e tc.).  Search en g ines use  diff erent wa ys to try t o find i nfo rma tio n m o s trelevant to u s e r""s  s earch q uer y. Forexa mpl e,ind ex -based se arch eng in es  i nd exInter n et docum en tsto  fa cilit a te sea rchin g. T he  e v er- growing am o u nt m ak es  itdif fi cultto i n dex  Intern et conten t.I ndee d,  s ome est imate only 15 %- 20% of Int er net  infor m a tion ordata is indexed at pres e nt. Thi s a pproa ch c an also b e o verlylit e ral an d canfailto  ta k e  into a cc oun twords havi n g  asimil ar  mea ning to  words of a search que ry. Concept-b ase d se a r ch  en g in e s r el y  on a  taxonomy (also  called atr e e)  to facili t ate  s earchin g databut a r e alsolimited i n their a bi lity t o d eliver the  xe2x80x 9cright i n forma t io nxe2x 80x 9d sou gh t b y a u ser.
F o r i nstan ce, ge ne ral-pu rpose  n avigatio nal search engines (inc luding  inde x t ype or co nce p t t ype searc h en gines) are  de sig ned t o s e archthee nt ire Inter net, that is,t he y a r e  m eant to hel p p eop le na vig a te toloca tions on the Inte r net that may c onta i n  re lev a nt i nf ormation. They  ar en o t easily  u sed to sear ch subse ts of co herent  datasuch as a  d a tabase  ofind ependentcon tr a ctors a nd  t h eir sk illse ts. Su ch sea r ch e n g ines generally d o not l evera g e k nowle dg e about data  in a data base to fac ilitat e se archquery f or mulati on.  K nowledge a b out datain adatabas eis f urt her no t le v e raged  int er act ively wit h au se rt o f acil itate  a nd f ocus a se a rch in r eal - time.
M an y s e a rch en g in e s  include s ome  leve l of searchx e2x8 0 x9 8 intel ligenc exe2x8 0x99. T h e x e2 x80x98i nte l l igence
 scripts_are often_run on servers through_a Common_Gateway_Interface (CGI)_to_implement data entry._Programming languages, such_as, Java, are also_being extended to_support_data entry on the Web.
These parts are well-suited for electronic communication and commerce between_remote_users. Indeed,_the_popularity_and use of the Internet_and World Wide Web has_increased drarnatically._The number of Web sites and Web pages_continues_to grow. As_the Internet has experienced explosive growth, the amount of_information available has reached staggering proportions._But, this seemingly_endless_excess_of information creates one_of the most challenging issues on_the Internet today. Put simply, the_ability to intelligently and reliably connect users_to xe2x80x98just the right informationxe2x80x99, represents_a continuing challenge, and a_huge opportunity.
There_is currently awide selection ofweb-based_xe2x80x98search enginesxe2x80x99 to_search this_information (AltaVista, Excite,_InfoSeek, AskJeeves, Northern Light, Google, etc.)._Search engines use_different ways to try to find_information_most relevant to_user""s_search_query. For_example, index-based search_engines_index Internet_documents_to facilitate searching. The ever-growing amount_makes_it difficult to index Internet content. Indeed,_some estimate only 15%-20%_of_Internet information or data_is indexed at present. This_approach can also be overly literal_and can_fail to_take into account words having a similar meaning to words of_a search query. Concept-based search engines_rely on a taxonomy_(also called_a_tree) to facilitate_searching_data but_are also limited in their ability to_deliver the_xe2x80x9cright informationxe2x80x9d sought by a user.
For_instance, general-purpose navigational search_engines_(including index type or concept type_search engines) are designed to search_the entire Internet, that is,_they_are_meant to help people navigate_to locations on the Internet that_may contain relevant_information. They are not easily used to_search_subsets of coherent data such as_a_database of independent contractors and their_skill_sets._Such search engines generally do_not leverage knowledge about data in_a database to facilitate search query formulation. Knowledge about_data in a_database is further not leveraged_interactively_with_a user to facilitate and focus a search in real-time.
Many_search engines_include some level_of search xe2x80x98intelligencexe2x80x99. The xe2x80x98intelligence