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IBM sets out to make experience of the internet

The internet may also be a treasure trove of company intelligence--however only if you can make experience of the statistics.

Enter IBM, which might want to see its WebFountain supercomputing challenge develop into the subsequent huge component in web search. together with rivals such as ClearForest, fast Search and transfer, and Mindfabric, massive Blue hopes to foster demand for new records-mining services that ferret out which means and context, no longer just lists of extra-or-less valuable links.

it be a tall order, one this is pushing the limits of supercomputing design and stretching expectations as to what uncooked processing vigor can accomplish when got to work on the area's greatest document library.

information.context

What's new: IBM's supercomputing task WebFountain is being prepped as the next huge factor in company search, promising to identify developments from the glut of information on the internet.

bottom line:If a success, WebFountain might foster demand for brand spanking new records-mining functions in area of interest markets.

more studies on this theme

natural search engines comparable to Google are already difficult-pressed to suit search phrases to certain web pages. Now WebFountain and other projects will tackle a task that's exponentially greater advanced.

"Search is attempting to find the most desirable page on a subject. WebFountain wants to find the style," noted Dan Gruhl, chief architect of the undertaking at IBM's Almaden analysis core in South San Jose, Calif.

Harnessing the web's statistics to locate that means is a

IBM is hoping to profit on the trend with the four-12 months-historical WebFountain venture, which is just now coming of age. it be an ambitious analysis platform that relies on the net's structured and unstructured facts, as well as on storage and computational capability, and IBM's computing competencies.

no matter if WebFountain can carry nowadays, the difficulty it hopes to crack holds specific sights for IBM. huge Blue has been pushing a new computing enterprise model in which consumers would appoint processing vigor from a principal provider in preference to buy their own hardware and application. WebFountain dovetails nicely with this utility computing model. IBM hopes to make use of the venture to create a platform that would be used as a lower back end by means of different utility builders drawn to tapping statistics-mining capabilities.

in one of the first public purposes of the technology, IBM on Tuesday teamed with utility issuer Semagix to offer an anti-funds-laundering system for financial institutions, with Citibank as its first consumer.

both corporations have quietly been working together for months to strengthen an software that helps banks flag suspects making an attempt to legitimize stolen funds. these efforts are in accordance with the United States Patriot Act, signed into legislations two years ago to battle terrorism.

The WebFountain-Semagix gadget automates a procedure that has up to now fallen onto the shoulders of compliance officers, who manually examine an individual's name in opposition t lists of familiar suspects.

"here's a traditional IT solution," WebFountain vice president Rob Carlson said. "or not it's now not changing americans, quite it organizes unstructured tips from the internet to the point they can look at what's important in preference to sifting via lots of statistics and manually trying to figure out who's regarding whom."

In a sign of growing to be demand for cash-laundering filters among banks, quick Search and transfer lately that financial associations might build a similar software, and Cap Gemini is asserted to be a first client, in accordance with analysts.

A growing to be market WebFountain traces its roots back to Stanford institution and an additional groundbreaking research device, Google. Its origins lie in a scholarly paper about text mining--authored jointly through researchers at IBM's Almaden site and at Stanford--that discusses an idea called hubs and authorities.

That concept means that the finest solution to find information on the web is to appear on the greatest and most everyday websites and internet pages. Hubs, for example, are continually described as net portals and expert communities. in a similar way, the theory of authorities rests on deciding on probably the most critical internet pages, including looking on the number and have an impact on of other pages that link to them. The latter idea is mirrored in Google's leading algorithm, called PageRank.

IBM utilized the equal ideas in an early internet records-mining task called clever, but shortcomings at last led researchers to show the idea of hubs and authorities on its head. briefly, IBM discovered that it could excavate extra pleasing statistics from pages that the theory of hubs and authorities normally pushed to the backside of the heap--unstructured pages like discussion boards, web logs, newsgroups and different pages. With that perception, WebFountain become born.

"We're looking at...the low-stage grungy pages," talked about Gruhl.

Analysts referred to they are expecting to peer expanding demand from firms for features that mine so-known as unstructured records on the internet. in line with a examine from researchers at the college of California at Berkeley, the static net is an estimated 167 terabytes of records. In contrast, the deep internet is between 66,800 and ninety one,850 terabytes of facts.

offering features for unstructured-counsel management is an estimated $6.46 billion market this yr and a $9.72 billion industry by way of 2006, based on research from IDC.

statistics mine Any doubts in regards to the scale of processing vigor required to tackle this task are instantly dispelled with a seek advice from to WebFountain's server farm, housed at IBM's Almaden research middle.

The enterprise employs about 200 researchers in eight analysis labs around the world, including in India, manhattan and Beijing. but the heartbeat of the operation is right here.

After clearing a gated security checkpoint, guests observe a protracted driveway to a low-slung, 1960s-period workplace building tucked away at the back of rolling foothills and parklands above Silicon Valley.

The regular whirr of lovers signals the presence of whatever thing large down the hall.

a main cluster incorporates 32 eight-server racks running twin 2.4GHz Intel Xeon processors, able to writing 10GB of facts per 2nd to disk. The gadget can save 160 terabytes of compressed information.

The central cluster is supported via two adjoining 64 twin-processor clusters that address auxiliary projects. One financial institution crawls the internet--indexing about 250 million pages weekly--while the different handles queries.

The three clusters together at present run a total of 768 processors, and that quantity is growing quick.

The cluster and storage equipment is migrating to blade servers this yr, with a purpose to keep house and provide a total of 896 processors for facts mining and 256 for storage. In complete, the device will add 1,152 processors, enabling it to procedure as many as eight billion internet pages within 24 hours.

attempting to find answers Like internet engines like google, WebFountain will also be used to are trying to find a needle in a haystack, however unlike net search, it's designed to scope returned and establish traits or answer unknowns like, "what is my corporate popularity?"

That goes neatly beyond the capabilities of web serps developed by using companies equivalent to Google, Inktomi and speedy Search and transfer. These items usually scour the net to discover the documents that most desirable healthy a given question, typically inspecting links to important web pages or matching identical chunks of text. With these and different methods, search lets people browse, locate or relocate advice, and get background suggestions on a topic.

against this, IBM's WebFountain wants to help find which means within the glut of on-line records. or not it's in keeping with text mining, or what's known as natural language processing (NLP). while it indexes net pages, it tags the entire words on a web page, examines their inherent structure, and analyzes their relationship to at least one yet another. The process is tons like diagramming a sentence in fifth grade, however on a enormous scale. textual content mining extracts blocks of records, nouns-verb-nouns, and analyzes them to demonstrate causal relationships.

WebFountain promises to combine its intelligence with visualization equipment to chart industry trends or establish a collection of rising opponents to a particular company. The platform could be used to investigate economic suggestions over a 5-year span to see if the economic climate is turning out to be, as an instance. Or it may well be used to analyze job listings to pinpoint emerging traits in employment.

"The web has turn into simply a major bulletin board, and if you can analyze that over time and see how things have modified, it solutions the question, 'inform me what's going on?'" said Sue Feldman, analyst at market research enterprise IDC. "This looks for the predicable constitution in textual content, and makes use of that just the way americans do, to do some evaluation, categorize information and to be aware it."

To make sure, some critics say WebFountain and different tasks nevertheless have an extended method to go in proving they could carry on their ambitious guarantees.

"IBM is making an attempt to unleash this cannon of twenty years of analysis--or not it's a pleasant big gun, nonetheless it may well be ill-applicable to the assignment in some instances," mentioned Jim Pitkow, president of search enterprise moreover, which has a take care of IBM rival Microsoft. He argued that groups may also now not should have three billion pages crawled to be able to do an analysis of their corporate attractiveness or advertising effectiveness on-line, as a result of many pages don't handle the subject matter.

"automatically detecting sentiment is a difficult factor," Pitkow spoke of.

IBM says the WebFountain provider has already yielded some promising results in early test runs, pointing to 2002 market analysis performed on behalf of oil conglomerate British Petroleum as one telling instance.

BP already knew that fuel costs and motor vehicle washes are customers' chief considerations whereas on the pump. but by unearthing news of a tiny Chicago-area gasoline station that created "cop-touchdown" areas for law enforcement officials, WebFountain referred to as attention to an additional customer be troubled: crime. Now BP is exploring plans to improve defense at its stations, giving away espresso, doughnuts and internet connections to appeal to law enforcement officials.

different WebFountain tendencies encompass an software anticipated to make its debut this summer from Factiva, an counsel retrieval enterprise owned by way of Dow Jones and Reuters. Factiva licensed WebFountain in September and has been constructing application to take a seat on accurate of the platform and gauge company reputation.

In an era of company scandals and fierce competition, measuring public notion may become a key center of attention of many groups. Already, at the least one company that has verified WebFountain has named a company reputation officer, in accordance with Gruhl.

"The problem has at all times been the problem of doing systematic mining of such a big volume of records, and distinguishing the vital from the trivial," said Charles Frombrun, executive director of the recognition Institute.

"If the task works out," Frombrun spoke of, "there may still be an outstanding deal to be taught from combining retrospective records from print sources with rising information from net analyses."


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