Exclusive Interview: Eric Gries, Lucid Imagination
July 27, 2010
It’s not everyday that you find a revolutionary company like Lucid Imagination that’s blazing a new trail in the Open Source world whose CEO described the firm as being at 90 degrees to the traditional search business model.
Still, that’s the way that Eric Gries refers to Lucene/Solr’s impact on the search and content processing market. “The traditional search industry has not changed much in 30 years. Lucid Imagination’s approach is new, disruptive, and able to deliver high value solutions without the old baggage. We have flipped the old ideas of paying millions and maybe getting a solution that works. We provide the industrial strength software and then provide services that the client needs. The savings are substantial. Maybe we are now taking the right angle?”, he asked with a big smile?”
This pivot in the market reflects the destabilizing impact of open source search, and the business that Mr. Gries is building at supersonic speeds. “Traditional search is like taking a trip on a horse drawn cart. Lucid Imagination’s approach is quick, agile, and matched to today’s business needs.”
A seasoned executive in in software and information management, Mr. Gries uses the phrase to capture his firm’s meteoric rise in the Open Source world and how the success of its Open Source model is giving traditional competitors such as Autonomy, Endeca, and Microsoft Fast indigestion.
Mr. Gries’s background speaks of the right pedigree for a professional who is at the helm of a successful startup.
He got his start at Cullinet Software. “I started in the computer sciences and joined my first company as part of the development team,” Cullinet Software was an early leader–databases were young, and relational databases, made famous by Larry Ellison, were just getting out of the gate,” he recently told Beyond Search. After he got his MBA, he moved more into the business side, among other things, building the Network System Management Division at Compuware. He’s brought solid credentials in software services from his experience to the new venture at Lucid Imagination, a start up with substantial venture backing.
Eric Gries, the mastermind of the Lucene Revolution. Source: Lucid Imagination, www.lucidimagination.com
He was first attracted to search and data and the relevant issues there. The lure of Open Source came later.
“The thing that attracted me to Open Source at first was the fact that search was really growing in leaps and bounds,” he said and he’s understandably proud of what the company has been able to accomplish so far.
“Lucene/Solr is software that is as good or better than most of the other commercial offerings in terms of scalability, relevance and performance.”
He talked recently about how it was important to him to put together the right kind of advisory guidance, drawing on people with real world experience in the technology and business of Open Source.
“I was new to the space, so very early on I put together a very strong advisory board of Open Source luminaries that were very helpful.”
Lucid Imagination, of which Gries is President and CEO, was launched in 2009, and is only in its second year of operation. Lucid closed millions of dollars worth of business in their first year. The recipe for success that includes a deep level of involvement and collaboration with the community outside Lucid, communities and and ensuring the technology gets the right kind of attention in terms of vital needs like quality and flexibility that drive the appetite of organizations for search technology.
The value of the business is about search, not open source. The company is riding on the trends of search and Open Source which Mr. Gries says is being accepted more and more as a mainstay of the enterprise.
The establishment has taken notice as well with companies who understand the value of trailblazers like Red Hat — ‘opening doors’ for Lucene/Solr according to Mr. Gries — and in turn helping them to establish themselves as a second generation supplier of Open Source technology solutions.
Mr. Gries’s enthusiasm for his new type of business model is infectious and he enjoys pointing out the pride and dedication that goes into the work that gets done at Lucid, located in the heart of Silicon Valley.
“We added low cost to the metrics of scalability, relevance and performance so there’s really no good reason to use any commercial software with all due respect,” he added.
One of the more interesting aspects of Lucid is the fact that the firm has received $16 million in venture funding and is already getting an impressive list of clients on their roster that includes names like LinkedIn, Cisco, and Zappos, now a unit of the giant Amazon.
It’s clear that Mr. Gries has been able to understand that Open Source has been able to displace some commercial search solutions, and for him the reasons are simple that the software is downloaded at the blistering pace of thousands of units a day.
“Now the software is good and industry sees that there is a commercial entity committed to working with them, we want the enterprise to see they can work with Open Source,” he noted.
Still, while there is what’s been described as considerable momentum among some developers for this technology, some senior information technology managers and some purchasing professionals are less familiar with Open Source software and Lucene/Solr.
That’s where Mr. Gries understands the need to get the word out on the firm. He has learned that the education of the market is critical and hopes to build on the successes that Lucid Imagination achieved with sponsoring a developer conference in Prague earlier this year . It was so successful another—the Lucene Revolution— is planned for Boston in October.
Mr. Gries prides himself on the fact that the products created are all about a fresh business model with no distance between the developer and user. He’s proud of the success that the Lucene/Solr technology and community, along with his company, have enjoyed so far and likes to point out in his own way that one of their biggest goals beyond added value is increasing their market exposure for what he call this second generation Open Source.
“We are at 90 degrees to the typical search business model. We’re disruptive. We are making the competition explain a business model that is not matched to today’s financial realities. The handcuffs of traditional software licenses won’t fit companies that need agility and high value solutions,” he said. “ The software is already out there and running mission critical solutions. One of our tasks to to make sure people understand what is available now, and the payoffs available right now.”
He points to the fact that success came so early for Lucene/Solr the company has just put their 24/7 customer service in place.
Open source means leveraging a community. Lucid combines the benefits of open source software with exceptional support and service. For more information about the company, its Web site is at www.lucidimagination.com.
Stephen E Arnold, July 27, 2010
I have been promised a free admission to the Lucene Revolution in October 2010.
Exclusive Interview: Mike Horowitz, Fetch Technologies
July 20, 2010
Savvy content processing vendors have found business opportunities where others did not. One example is Fetch Technologies, based in El Segundo, California. The company was founded by professors at the University of Southern California’s Information Sciences Institute. Since the firm’s doors opened in the late 1990s, Fetch has developed a solid clientele and a reputation for cracking some of the most challenging problems in information processing. You can read an in-depth explanation of the Fetch system in the Search Wizards Speak’s interview with Mike Horowitz.
The Fetch solution uses artificial intelligence and machine learning to intelligently navigate and extract specific data from user specified Web sites. Users create “Web agents” that accurately and precisely extract specific data from Web pages. Fetch agents are unique in that they can navigate through form fields on Web sites, allowing access to data in the Deep Web, which search engines generally miss.
You can learn more about the company and its capabilities in an exclusive interview with Mike Horowitz, Fetch’s chief product officer. Mr. Horowitz joined Fetch after a stint at Googler.
In the lengthy discussion with Mr. Horowitz, he told me about the firm’s product line up:
Fetch currently offers Fetch Live Access as an enterprise software solution or as a fully hosted SaaS option. All of our clients have one thing in common, and that is their awareness of data opportunities on the Web. The Internet is a growing source of business-critical information, with data embedded in millions of different Web sites – product information and prices, people data, news, blogs, events, and more – being published each minute. Fetch technology allows organizations to access this dynamic data source by connecting directly to Web sites and extracting the precise data they need, turning Web sites into data sources.
The company’s systems and methods make use of proprietary numerical recipes. Licensees, however, can program the Fetch system using the firm’s innovative drag-and-drop programming tools. One of the interesting insights Mr. Horowitz gave me is that Fetch’s technology can be configured and deployed quickly. This agility is one reason why the firm has such a strong following in the business and military intelligence markets.
He said:
Fetch allows users to access the data they need for reports, mashups, competitive insight, whatever. The exponential growth of the Internet has produced a near-limitless set of raw and constantly changing data, on almost any subject, but the lack of consistent markup and data access has limited its availability and effectiveness. The rise of data APIs and the success of Google Maps has shown that there are is an insatiable appetite for the recombination and usage of this data, but we are only at the early stages of this trend.
The interview provides useful insights into Fetch and includes Mr. Horowitz’s views about the major trends in information retrieval for the last half of 2010 and early 2011.
Now, go Fetch.
Stephen E Arnold, July 20, 2010
Freebie. I wanted money, but Mr. Horowitz provided exclusive screen shots for my lectures at the Special Library Association lecture in June and then my briefings in Madrid for the Department of State. Sigh. No dough, but I learned a lot.
Google Metaweb Deal Points to Possible Engineering Issue
July 19, 2010
Years ago, I wrote a BearStearns’ white paper “Google’s Semantic Web: the Radical Change Coming to Search and the Profound Implications to Yahoo & Microsoft,” May 16, 2007, about the work of Epinions’ founder, Dr. Ramanathan Guha. Dr. Guha bounced from big outfit to big outfit, landing at Google after a stint at IBM Almaden. My BearStearns’ report focused on an interesting series of patent applications filed in February 2007. The five patent applications were published on the same day. These are now popping out of the ever efficient USPTO as granted patents.
A close reading of the Guha February 2007 patent applications and other Google technical papers make clear that Google had a keen interest in semantic methods. The company’s acquisition of Transformics at about the same time as Dr. Guha’s jump to the Google was another out-of-spectrum signal for most Google watchers.
With Dr. Guha’s Programmable Search Engine inventions and Dr. Alon Halevy’s dataspace methods, Google seemed poised to take over the floundering semantic Web movement. I recall seeing Google classification methods applied in a recipe demo, a headache demo, and a real estate demo. Some of these demos made use of entities; for example, “skin cancer” and “chicken soup”.
Has Google become a one trick pony? The buy-technology trick? Can the Google pony learn the diversify and grow new revenue tricks before it’s time for the glue factory?
In 2006, signals I saw flashed green, and it sure looked as if Google could speed down the Information Highway 101 in its semantic supercar.
Is Metaweb a Turning Point for Google Technology?
What happened?
We know from the cartwheels Web wizards are turning, Google purchased computer Zen master Danny Hillis’ Metaweb business. Metaweb, known mostly to the information retrieval and semantic Web crowd, produced a giant controlled term list of people, places, and things. The Freebase knowledgebase is a next generation open source term list. You can get some useful technical details from the 2007 “On Danny Hillis, eLearning, Freebase, Metaweb, Semantic Web and Web 3.0” and from the Wikipedia Metaweb entry here.
What has been missing in the extensive commentary available to me in my Overflight service is some thinking about what went right or wrong with Google’s investments and research in closely adjacent technologies. Please, keep in mind that the addled goose is offering his observations based on his research for this three Google monographs, The Google Legacy, Google Version 2.0, and Google: the Digital Gutenberg. If you want to honk back, use the comments section of this Web log.
First, Google should be in a position to tap its existing metadata and classification systems such as the Guha context server and the Halevy dataspace method for entities. Failing these methods, Google has its user input methods like Knol and its hugely informative search query usage logs to generate a list of entities. Heck, there is even the disambiguation system to make sense of misspellings of people like Britney Spears. I heard a Googler give a talk in which the factoid about hundreds of variants of Ms. Spears’s name were “known” to the Google system and properly substituted automagically when the user goofed. The fact that Google bought Metaweb makes clear that something is still missing.
Lucene Revolution Conference Details
July 15, 2010
The Beyond Search team received an interesting news release from a reader in San Francisco. We think the information reveals the momentum that is building for open source search. Here’s the story as we received it:
San Mateo, Calif. – July 14, 2010 – Lucid Imagination, the commercial company for Apache Lucene and Solr open source search technologies, is pleased to announce speakers for Lucene Revolution, the first-ever conference [EV1] in the US devoted to open source search. The conference will take place October 7-8, 2010 at the Hyatt Harborside, Boston, Massachusetts. Lucene Revolution is a groundbreaking event that drives broad participation in open source enterprise search , creating opportunities for developers, technologists and business leaders to explore the disruptive new benefits that open source enterprise search makes possible, in a fresh, energetic and forward thinking format.
The diverse and widespread adoption of Lucene/Solr for enterprise search applications is reflected by the broad range of speakers at the event, such as:
- Cisco Systems: Satish Gannu
- eHarmony: Joshua Tuberville
- LinkedIn: John Wang
- Sears: David Oliver
- The McClatchy Company: Martin Streicher
- The Smithsonian: Ching-Hsien Wang
- Twitter: Michael Busch
Conference speakers represent a cross-section of Lucene/Solr adoption – including new media, ecommerce, embedded search applications, content management, social media, and security and intelligence – spanning the broad spectrum of production-class enterprise search implementations, all of whom leverage the power and economics of Lucene/Solr innovation.
Other industry thought leaders participating and sharing their insights into open source enterprise search include Hadley Reynolds (Research Director, Search & Digital Marketplace Technologies, IDC) and Stephen E. Arnold (Beyond Search; Managing Partner, ArnoldIT).
Over the two days of the conference there are over 30 sessions scheduled in a variety of different formats: technical presentations, use cases, panel discussions, and Q&A sessions. In addition there will be an “un-conference” the evening of October 7, where attendees can present lightning talks and take part in hands-on community coding efforts.
Registration for Lucene Revolution is now open for the conference at: http://www.lucenerevolution.com/register. A full list of speakers, along with a complete conference agenda, is available at http://www.lucenerevolution.com/agenda.
If you are not familiar with Lucid, here’s a snapshot:
Lucid Imagination is the commercial company dedicated to Apache Lucene technology. The company provides value-added software, documentation, commercial-grade support, training, high-level consulting, and free certified distributions, for Lucene and Solr. Lucid Imagination’s goal is to serve as a central resource for the entire Lucene community and search marketplace, to make enterprise search application developers more productive. Customers include AT&T, Sears, Ford, Verizon, Elsevier, Zappos, The Motley Fool, Macy’s, Cisco, HP, The Guardian and many other household names. Lucid Imagination is a privately held venture-funded company. Investors include Granite Ventures, Walden International, In-Q-Tel and Shasta Ventures. To learn more please visit www.lucidimagination.com.
Goslings Constance Ard and Dr. Tyra Oldham will be attending. Should be useful. Certainly more timely than the plethora of SharePoint and gasping one-size-fits-all programs. Honk.
Stephen E Arnold, July 15, 2010
Sponsored post.
Autonomy: A Real Success. CMSWatch: Maybe Another Real Miss?
July 12, 2010
In Harrod’s Creek, I can easily spot the real squirrel hunters. They have food. Mostly laconic, these hunters have a big pile of dead squirrels as proof of their competence. There is also the smell of fresh burgoo wafting from their log cabins. I can smell ability from my goose pond.
Lousy hunters have empty gun belts and squirrels shot when snacking on store bought food used to lure the critters. That’s a real danger — cheap tricks or just shooting wildly, often putting bird shot in an innocent’s backsides or the face like the 2006 incident between Vice President Dick Cheney and Texas lawyer Harry Whittington. Some faux hunters have just shot themselves in the foot. Ouch!
Azure chip consultants is a synonym for “bad hunter” in my opinion. Source: http://api.ning.com/files/LCP2NCaWo-ptCqGncB3hGsX8vuh8dnDzSJ0iLnkibas_/18holeinhandG.jpg
One of my two or three readers sent me a link to a write up called “Don’t Ogle Search If You Really Want Content Management”. In my opinion, the write up relies on insinuation, not facts. (I think that some folks are immune to facts, but I find facts useful.) In the article’s headline, the word “ogle”, for example, is one I don’t associate with information retrieval. (The publisher of this “ogle” opinion piece caught my attention in July 2008 with its similar assault on Attivio. My response to that misleading article is here.)
Yet another example of factless criticism of a vendor appears in this segment of the “ogle” write up about Autonomy, one of a very small number of search and content processing vendors with a consistent track record of technical breadth, sales, revenue, and profit:
From an initial focus on enterprise search tools, Autonomy has become a roll-up vendor after acquiring a variety of other information management suppliers such as Interwoven. As a financial strategy this can be successful, and investors seem to cotton to Autonomy. As a technology strategy, vendor roll-ups are problematic. Autonomy’s technology strategy is to rip legacy search subsystems from acquired products, replace them with some pieces from its own IDOL toolset, and then promote its particular approach to search as a distinct advantage for you. Specifically, Autonomy will try to sell you on the value of “meaning-based computing.” Even if you can get your mind around what meaning-based means, you should remain skeptical that Autonomy has technically spectacular or original services here. More importantly, you risk getting sidetracked from your original goal of, say, creating a user-friendly repository for your 50,000 Office documents.
These statements are presented without verifiable foundation to support the allegations in my opinion.
Autonomy is on track to hit $1.0 billion by the end of calendar 2010. The company has a proven track record of improving the performance of the companies it acquires. Autonomy’s management has demonstrated its ability to integrate quickly its acquired products with IDOL (the firm’s integrated data operating layer). The result is Autonomy’s knack of transforming the acquired companies’ position in their markets.
But there are other data that shed light on Autonomy’s track record, which I have documented Autonomy’s technology in my writings such as Beyond Search (Gilbane, 2009), the Enterprise Search Report (CMSWatch.com, 2004-2006), and Successful Enterprise Search Management (Galatea, 2009). Here are three points that must not be overlooked:
- Autonomy has 20,000 plus customers plus around 1,000 licensees of its technologies for use in other enterprise software and systems
- Autonomy has made intelligent acquisitions that has given the firm a strong presence in eDiscovery, rich media, and fraud detection. Autonomy has recently pushed into online marketing using capabilities from Ineterwoven and its IDOL framework. My research reveals that Autonomy has acquired companies to bring its technology to new markets so more content can be understood.
- Autonomy has grown its revenues and generated a profit, making it possible for other UK based technology companies to ride the Autonomy horse in the race for government and venture funding.
In December a year or so ago, at the International Online Conference, in my for-fee, end note debate, I challenged Andrew Kanter (Autonomy), Charlie Hull (Lemur Consulting), and Dr. Charles Oppenheim (Loughborough University) about their views of search, content processing, and related fields. In front of an audience of about 300 search professionals, I pointed out that key word search was dead. I pointed out that most search systems did not understand the meaning of processed information. Autonomy’s Andrew Kanter strongly and politely disagreed with me. As I recall, he said to the audience and me:
Autonomy IDOL is the only product in the market that can understand the meaning and concepts of all information in any language, including audio and video. This has big implications for the content management market as no other vendor can do this.
I demanded some concrete examples to support his position. Mr. Kanter without missing a beat gave me four concrete examples drawn from Autonomy’s work in intelligence, search enabled applications, fraud detection, and rich media.
What did I do?
Humans Not Replaceable Yet
July 5, 2010
The secret to national security is in searches, or so a recent Federal Times article tries to convince us. Citing the botched Christmas Day terror attempt, it claims that Homeland Security is deluged in so much data that agents could never be expected to stop a suspect in time. “Without better information systems,” the article says, “the intelligence community will be hamstrung in its efforts to transform information into intelligence.” The answer, it claims, are semantic searches that make preliminary conclusions on their own. So much faith in smart and semantic search capabilities is exciting, but overlooks the human element. High-powered search tools are great, but the technology still cannot surpass human instincts and knowledge, no matter how sensitive the equipment.
Jessica West Bratcher, July 5, 2010
Freebie
Sentiment in an Unsentimental Manner
July 2, 2010
Sentiment analysis is one of those feeder streams in content processing that now are swelling into a torrent. Seth Grimes, a fellow who actually took one dollar from me and then gave it back, has written a useful write up, “My Feelings About Sentiment Analysis.” The format is an interview with Mr. Grimes as the subject. Here’s a comment I noted and tucked in my “recycle this insight in one of my talks” folder:
How organic is it [sentiment analysis]? Does it need to be managed in real time?
Smart, responsive enterprises have effectively been doing sentiment analysis for years: they’ve been listening to customers and the market. The natural next step is to automate analyses, to take advantage of computers’ speed and power in order to build out and systematizes efforts. Technologies are definitely starting to operate in real-time… and beyond. They can not only analyze and automate response to opportunities and threats as they emerge; via predictive modeling, they can drive pro-active steps that create opportunities and close vulnerabilities. This said, I’ll reemphasize that organizations can work their way up from basic monitoring and engagement to full-blown, predictive analytics at a pace that makes sense given needs and budgets.
Good stuff.
Stephen E Arnold, July 2, 2010
Freebie but maybe I will get asked to give a talk at one of Mr. Grimes’ high profile conferences. Beg, beg, whine. Repeat.
Autonomy Tasers Its Competition
July 2, 2010
I can hear the yelps now, “Don’t tase me, man. No, not again.” Bzzzap. “Yow.”
Now I hear a gasping, “Autonomy cannot be Number One. We are Number One.”
Who is doing the complaining? Probably about 300 vendors of search and content processing systems that is who. Why the howls on this fine summer day?
Navigate to Chron.com and read “Autonomy Is #1 in Search and Discovery Market, According to Leading Market Research Firm.” There is a write up about IDC’s study “Worldwide Search and Discovery 2009 Vendor Shares: An Update on Market Trends.” So, the 300 yelpers have to do more than howl, issue one shot news releases, or drop the ball on marketing, sales, and customer satisfaction. Autonomy — acording to a big gun analyst outfit — is the top dog, the king of the hill, and the cat’s pajamas in search and content processing. This is not my opinion, gentle reader, I am pointing you to a rock solid source, IDC.
What’s the write up say? Here’s a snippet:
Autonomy continues to be the largest enterprise supplier, using its search-based IDOL infrastructure to act as a foundation for content-centric and search-driven business applications including eDiscovery and compliance, Web content management, enterprise content management and rich media, search marketing, intelligence, call center and customer support, and traditional knowledge management applications.” “Businesses from every industry continue to turn to Autonomy to help them achieve what other technology companies fail to deliver on – identifying the meaning within all forms of information, in real-time, in order to protect and promote their organization,” said Mike Lynch, CEO of Autonomy. “Autonomy’s unique meaning-based approach to information computing is what continues to fuel our rapid growth and clear market leadership, as validated by the recent IDC report on Search and Discovery market shares.”
And no big disagreement from the addled goose. I quite like some of the Autonomy technology. I like most of what IDC produces. If the data compiled for the report are accurate, Autonomy has a big footprint and happy customers. Among the thousands of Autonomy licensees are AOL, BAE Systems, BBC, Bloomberg, Boeing, Citigroup, Coca Cola, Daimler AG, Deutsche Bank, DLA Piper, Ericsson, FedEx, Ford, GlaxoSmithKline, Lloyds TSB, NASA, Nestle, the New York Stock Exchange, Reuters, Shell, Tesco, T-Mobile, the U.S. Department of Energy, the U.S. Department of Homeland Security and the U.S. Securities and Exchange Commission.
You may be using Autonomy technology and not even know it. More than 400 companies glue Autonomy to their own systems in order to provide search and content processing functions. Recognize any of these names? Symantec, Citrix, HP, Novell, Oracle, Sybase and TIBCO.
When the competition is able to stop yammering, perhaps some of these 300 vendors will start selling, marketing, and making Autonomy perspire. Google? Microsoft? Are you paying attention. Autonomy has more than 20,000 customers for its search and content processing systems, applications, and services. Oh, keep in mind that IDC offers data to back up its conclusion that Autonomy is Number One.
Competitors who make Kin phones and then kill their Kin the next day may want to reexamine their strategy. Other vendors may want to stop trying to tell governments how to run their railroads and business licensing policies.
Autonomy seems to have more – ah, how shall I say it? – yes, focus.
By the way, how does that taser feel? Want another zap? Bzzzap.
Stephen E Arnold, July 2, 2010
Freebie
Merger Strengthens Law Enforcement Searches
July 1, 2010
Crime solvers now have an improved way to track down clues, thanks to a single merger, a recent V3 article reports. One of the premier analytics firms, SAS in the US, recently purchased the UK based Memex in a step to bolster SAS’ law enforcement services. Memex currently supplies enterprise search solutions to law enforcement agencies from Brittan to Los Angeles. By bringing its research abilities to SAS’s global reach, the company aims to help law enforcement and justice and defense agencies share data by making it more widely available and much more searchable. This is an interesting example of a structured data specialist acquiring specialized technology to service a specific niche. We expect to see similar partnerships sprout up.
Patrick Roland, July 1, 2010
Freebie
More Efficient Social Graph and Semantic Analysis
June 30, 2010
Short honk: My hunch is that the University of Maryland has come up with a nifty method to deal with some cumbersome and computationally intensive computations. Navigate to “Scientists Develop World’s Fastest Program to Find Patterns in Social Networks” and read about fancy math and chopping big data into chunks. With the technique, figuring out patterns gets easier. I will resist a pun about cozying up to big data. Here’s the passage that caught my attention in the write up:
In a paper that has been accepted for presentation at the 2010 Advances in Social Network Analysis and Mining conference to be held in Denmark in August, Broecheler, Pugliese and Subrahmanian [University of Maryland wizards] leveraged a key insight – it is possible to split the social network into a set of almost independent, relatively small sub-networks, each of which is stored on a computer in a cloud computing cluster in such a way that the probability that a query pattern will need to access two nodes is kept as small as possible. Using knowledge of past queries and a complex set of calculations to compute these probabilities, their paper reports algorithms and experiments to answer social network subgraph pattern matching queries on real-world social network data with 778 million edges (which may denote relationships or connections between individuals) in less than one second. More recent results not contained in the paper are able to efficiently answer queries to social network databases containing over a billion edges.
Strikes me as important, particularly for outfits gunning their PT boats toward Fort Google.
Stephen E Arnold, June 30, 2010
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