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C9520-928 | Developing Websites Using IBM Web Content Manager 8.0

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C9520-928 - Developing Websites Using IBM Web Content Manager 8.0 - braindump

Vendor IBM
Exam Number C9520-928
Exam Name Developing Websites Using IBM Web Content Manager 8.0
Questions 91 Q & A
Recent Update February 11, 2019
Free PDF Download C9520-928 Brain Dump
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C9520-928 exam Dumps Source : Developing Websites Using IBM Web Content Manager 8.0

Test Code : C9520-928
Test Name : Developing Websites Using IBM Web Content Manager 8.0
Vendor Name : IBM
Q&A : 91 Real Questions

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IBM Developing Websites Using IBM

McCormick will use IBM synthetic intelligence to strengthen flavors, items | killexams.com Real Questions and Pass4sure dumps

McCormick & Co. Inc. plans to make use of artificial intelligence to create new flavors and items through a research collaboration with IBM, the spice maker pointed out Monday.

The theory is to pair IBM’s skills in machine getting to know with McCormick’s greater than 40 years of sensory science and taste facts, the agencies stated. McCormick’s facts includes no longer only previous product formulas however hundreds of thousands of statistics aspects that relate to purchaser taste preferences and palettes.

“One,” the primary product line developed through artificial intelligence, might be on U.S. retail cabinets via late spring and initially encompass a set of one-dish recipe mix flavors, such as Tuscan bird, Bourbon Pork Tenderloin and New Orleans Sausage. The “One” platform is designed as seasoning for both proteins and greens.

McCormick’s product builders will use synthetic intelligence to gain knowledge of and predict new flavors, making the technique sooner and extra productive, the enterprise talked about. The expertise might be utilized in constructing each purchaser and business market products.

“McCormick’s use of artificial intelligence highlights our dedication to perception-pushed innovation and the application of essentially the most forward-searching technologies to continuously increase our products and bring new flavors to market,” said Lawrence Kurzius, McCormick’s chairman, president and CEO, in an announcement Monday.

He talked about the mission is among a couple of in the pipeline the usage of new and emerging technologies.

“IBM analysis’s collaboration with McCormick illustrates our commitment to assisting our valued clientele and partners pressure innovation across industries,” noted Kathryn Guarini, vice chairman for business research for IBM, within the announcement. “with the aid of combining McCormick’s deep statistics and abilities in science and style, with IBM’s AI capabilities, we are working together to free up the limits of creativity and radically change the meals and taste construction technique.”


McCormick, IBM ‘pioneer’ use of A.I. in meals, taste building | killexams.com Real Questions and Pass4sure dumps

HUNT VALLEY, MD. — McCormick & Co. is collaborating with IBM to “pioneer” the application of artificial intelligence (A.I.) for flavor and food product construction, the corporations noted.

the usage of IBM research AI for Product Composition, McCormick’s product builders will be capable of greater efficiently discover flavor territories, McCormick observed. The enterprise will additionally use IBM A.I. to predict new flavor combos from hundreds of thousands of facts elements across the areas of sensory science, client selection and flavor palettes.

“IBM research’s collaboration with McCormick illustrates our dedication to helping our valued clientele and companions pressure innovation throughout industries,” observed Kathryn Guarini, vice-president of business research for IBM. “by combining McCormick’s deep statistics and competencies in science and taste with IBM’s A.I. capabilities, we are working together to liberate the bounds of creativity and radically change the food and flavor building manner.”

McCormick plans to launch its first A.I.-enabled product platform, “ONE,” by using mid-2019. The platform turned into developed to deliver well-known flavors with the potential to season each protein and vegetables, McCormick pointed out. initial offerings will encompass a set of 1-dish recipe mix flavors similar to Tuscan fowl, Bourbon Pork Tenderloin and New Orleans Sausage.

“McCormick’s use of artificial intelligence highlights our commitment to perception-driven innovation and the utility of probably the most forward-searching applied sciences to consistently enhance our products and produce new flavors to market,” referred to Lawrence Kurzius, chairman, president and chief govt officer of McCormick. “here's considered one of a few projects in our pipeline where we’ve embraced new and emerging applied sciences.”


McCormick & company and IBM Announce Collaboration Pioneering the use of artificial Intelligence in taste and food Product construction | killexams.com Real Questions and Pass4sure dumps

HUNT VALLEY, Md. and YORKTOWN HEIGHTS, N.Y., Feb. four, 2019 /PRNewswire/ -- McCormick & enterprise, integrated MKC, +1.forty seven% a worldwide leader in flavor, and IBM IBM, +0.39% nowadays publicly announced their ongoing analysis collaboration to pioneer the utility of synthetic intelligence (AI) for flavor and meals product construction.

the usage of IBM analysis AI for Product Composition, McCormick is ushering in a brand new era of taste innovation and changing the direction of the trade. Product developers throughout McCormick's international staff may be in a position to explore flavor territories greater immediately and efficaciously the usage of AI to be taught and predict new taste combinations from a whole lot of hundreds of thousands of information aspects across the areas of sensory science, customer option and taste palettes. This proprietary, reducing-side know-how sets McCormick apart in its potential to strengthen extra artistic, stronger tasting products and new flavor experiences throughout each its consumer and flavor solutions business instruments.

McCormick expects to launch its first AI-enabled product platform, "ONE," by means of mid-2019, with a collection of initial one-dish Recipe combine flavors together with Tuscan chicken, Bourbon Pork Tenderloin and New Orleans Sausage. The company's flavor builders created this product platform through combining IBM's abilities in AI and machine learning with McCormick's forty+ years of proprietary sensory science and taste information, which contains many years of previous product formulas and tens of millions of statistics elements related to buyer style preferences and palettes. AI has enabled McCormick's product builders entry to an improved portfolio of flavor profiles that enhances their creativity. the new ONE platform become chiefly developed to deliver family unit-favorite flavors with the means to season each the protein and vegetable. the new seasoning blends expect to be on U.S. retail shelves by way of late spring.

"McCormick's use of artificial intelligence highlights our commitment to insight-pushed innovation and the utility of the most ahead-looking technologies to normally raise our items and bring new flavors to market," noted McCormick Chairman, President and CEO Lawrence Kurzius. "this is one of a number of initiatives in our pipeline where we have now embraced new and emerging applied sciences."

As a world leader in synthetic intelligence software, features and technology for enterprise, IBM is focused on working with clients and organizations throughout many trade sectors to support enhance information-pushed technologies that push markets ahead.

"IBM research's collaboration with McCormick illustrates our dedication to assisting our purchasers and partners pressure innovation throughout industries," talked about Kathryn Guarini, VP, trade research, IBM. "by way of combining McCormick's deep statistics and knowledge in science and style, with IBM's AI capabilities, we're working together to release the boundaries of creativity and seriously change the meals and flavor development system." 

Pairing McCormick's international talents, principally that of its research and product building groups, with main AI analysis helped McCormick speed up the velocity of flavor innovation through as much as thrice and carry enormously useful, purchaser-preferred formulation. through the ONE platform in addition to a couple of other tasks in the pipeline, McCormick's product builders are now using AI to liberate creativity, access new insights and share information with their peers worldwide. The company plans to scale this know-how globally through 2021.

About McCormick & business

McCormick & company, incorporated is a world leader in flavor. With $5.4 billion in annual earnings, the business manufactures, markets and distributes spices, seasoning mixes, condiments and other flavorful products to the total food trade – retail retailers, food manufacturers and foodservice companies. day by day, no count number where or what you consume, that you may get pleasure from food flavored with the aid of McCormick. McCormick Brings the pleasure of flavor to lifestyles™

For extra guidance, consult with www.mccormickcorporation.com.

For assistance contact:

corporate CommunicationsLori Robinson (410) 527-6004 or lori_robinson@mccormick.com

About IBM research

For more than seven decades, IBM research has described the future of counsel technology with more than 3,000 researchers in 12 labs discovered throughout six continents. Scientists from IBM analysis have produced six Nobel Laureates, 10 U.S. countrywide Medals of expertise, 5 U.S. country wide Medals of Science, six Turing Awards, 19 inductees in the countrywide Academy of Sciences and 20 inductees into the U.S. countrywide Inventors hall of repute. For extra information about IBM research, consult with www.ibm.com/research.

Media members of the family Contact:Fiona DohertyEmail: fhdohert@us.ibm.comPhone: 914-467-8439

View original content material:http://www.prnewswire.com/news-releases/mccormick--company-and-ibm-announce-collaboration-pioneering-the-use-of-artificial-intelligence-in-flavor-and-meals-product-construction-300788878.html

source McCormick & company, incorporated

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Developing Websites Using IBM Web Content Manager 8.0

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Why do developers choose PHP for web development? | killexams.com real questions and Pass4sure dumps

Web development is actually a very refined field. It includes almost everything that is concerned with the overall enhancement and development of a website. While developing a well designed, attractive and meaningful website it is very necessary that it contains all the basic elements of web development. Only an experienced and well knowledgeable web developer can design a website that could win in this competitive world and thus you must trust only experienced web developer from a web development company.

Everyone is well aware of the fact that development of a website is only done with a pre established web development language. Even though there plenty of languages available for web developer, developer prefer using PHP for efficient web designing and it is because of the fact that PHP offers varies advantages to Web design and development.

PHP is an efficient web development language. It is an open-source, feature-rich language. It is a paid scripting language that can offer all the functionality altogether for effective development of a website. It is usually preferred by web developer over other existing languages because of its advantages.

Some of the advantages of PHP are: 1. It is available free of cost –

PHP is actually a open source language that can be used and updated by all the developers around the world and thus it is available with no cost. Anyone can use it any time it is required.

2. It is a capable language –

PHP could develop any type of website. Whether it has huge traffic or huge functionalities. PHP is actually a server site scripting language that also provides functionalities those other CGI languages

3. It is user friendly –

It offers easy to use, readable and understandable codes and syntax which can easily be used by a developer. PHP is embedded in HTML and offer the coding of C/C++ and these both is a common language among web developers thus PHP is much familiar among developers.

4. It provides platform capabilities –

PHP can provide cross platform capability that is it can run on several platform and on several operating systems including

5. It supports all web servers –

PHP is also comfortable with all types of web servers including Apache, Microsoft IIS, Netscape, personal webserver, iPlanet server, etc.

6. It supports all the databases –

Other than all servers PHP also supports all types of databases like MySQL, dBase, IBM DB2, InterBase, FrontBase, ODBC, PostgreSQL, SQLite, etc.

7. It ensures fast running and easy development –

For a website it is very essnetail that its load time is minimum and when it is designed with PHP it will have decreased laoding time and it is because PHP uses its own memory space and thus decreases

8. PHP is a secured language –

PHP is most secured language as it offers

9. It is a trusted language –

As PHP is used by Web developer since 1995 it is one of the most trusted web development language. Also it has been used for some of the major frameworks thus it very popular among web developers.

These are some reasons for “Why developers choose PHP for web development”. Using PHP as a web development programming language ease the work of web developers.

Career tip :

If you are choosing PHP as a web development language, Keep in mind that PHP has wide range of inbuilt frameworks and CMS (content management system). An as you know software field has become very competitive now a days. you should have good knowledge of at least one framework and one CMS along with core PHP. Choosing PHP as a career is a great option.


What is application security? A process and tools for securing software | killexams.com real questions and Pass4sure dumps

Application security is the process of making apps more secure by finding, fixing, and enhancing the security of apps. Much of this happens during the development phase, but it includes tools and methods to protect apps once they are deployed. This is becoming more important as hackers increasingly target applications with their attacks.

Application security is getting a lot of attention. Hundreds of tools are available to secure various elements of your applications portfolio, from locking down coding changes to assessing inadvertent coding threats, evaluating encryption options and auditing permissions and access rights. There are specialized tools for mobile apps, for network-based apps, and for firewalls designed especially for web applications.

Why application security is important

The faster and sooner in the software development process you can find and fix security issues, the safer your enterprise will be.

And, because everyone makes mistakes, the challenge is to find those mistakes in a timely fashion. For example, a common coding error could allow unverified inputs. This mistake can turn into SQL injection attacks and then data leaks if a hacker finds them. 

Application security tools that integrate into your application development environment can make this process and workflow simpler and more effective. These tools are also useful if you are doing compliance audits, since they can save time and the expense by catching problems before the auditors seen them. 

The rapid growth in the application security segment has been helped by the changing nature of how enterprise apps are being constructed in the last several years. Gone are the days where an IT shop would take months to refine requirements, build and test prototypes, and deliver a finished product to an end-user department. The idea almost seems quaint nowadays.

Instead, we have new working methods, called continuous deployment and integration, that refine an app daily, in some cases hourly. This means that security tools have to work in this ever-changing world and find issues with code quickly.

Gartner, in its report on the app security hype cycle (updated September 2018), said that IT managers “need to go beyond identifying common application development security errors and protecting against common attack techniques.” They offer more than a dozen different categories of products and describe where in their “hype cycle” they are located.

Many of these categories are still emerging and employ relatively new products. This shows how quickly the market is evolving as threats become more complex, more difficult to find, and more potent in their potential damage to your networks, your data, and your corporate reputation.

Application security tools

While there are numerous application security software product categories, the meat of the matter has to do with two: security testing tools and application shielding products. The former is a more mature market with dozens of well-known vendors, some of them are lions of the software industry such as IBM, CA and MicroFocus. These tools are well enough along that Gartner has created its Magic Quadrant and classified their importance and success. Review sites such as IT Central Station have been able to survey and rank these vendors, too.

Gartner categorizes the security testing tools into several broad buckets, and they are somewhat useful for how you decide what you need to protect your app portfolio:

  • Static testing, which analyzes code at fixed points during its development. This is useful for developers to check their code as they are writing it to ensure that security issues are being introduced during development.
  • Dynamic testing, which analyzes running code. This is more useful, as it can simulate attacks on production systems and reveal more complex attack patterns that use a combination of systems.
  • Interactive testing, which combines elements of both static and dynamic testing.
  • Mobile testing is designed specifically for the mobile environments and can examine how an attacker can leverage the mobile OS and the apps running on them in its entirety.
  • Another way to look at the testing tools is how they are delivered, either via an on-premises tool or via a SaaS-based subscription service where you submit your code for online analysis. Some even do both.

    One caveat is the programming languages supported by each testing vendor. Some limit their tools to just one or two languages. (Java is usually a safe bet.)  Others are more involved in the Microsoft .Net universe. The same goes for integrated development environments (IDEs): some tools operate as plug-ins or extensions to these IDEs, so testing your code is as simple as clicking on a button.

    Another issue is whether any tool is isolated from other testing results or can incorporate them into its own analysis. IBM’s is one of the few that can import findings from manual code reviews, penetration testing, vulnerability assessments and competitors’ tests. This can be helpful, particularly if you have multiple tools that you need to keep track of.

    Let’s not forget about app shielding tools. The main objective of these tools is to harden the application so that attacks are more difficult to carry out. This is less charted territory. Here you’ll find a vast collection of smaller, point products that in many cases have limited history and customer bases. The goal of these products is to do more than just test for vulnerabilities and actively prevent your apps from corruption or compromise. They encompass a few different broad categories:

  • Runtime application self-protection (RASP): These tools could be considered a combination of testing and shielding. They provide a measure of protection against possible reverse-engineering attacks. RASP tools are continuously monitoring the behavior of the app, which is useful particularly in mobile environments when apps can be rewritten, run on a rooted phone or have privilege abuse to turn them into doing nefarious things. RASP tools can send alerts, terminate errant processes, or terminate the app itself if found compromised.RASP will likely become the default on many mobile development environments and built-in as part of other mobile app protection tools. Expect to see more alliances among software vendors that have solid RASP solutions.  
  • Code obfuscation: Hackers often use obfuscation methods to hide their malware, and now tools allow developer to do this to help protect their code from being attacked.
  • Encryption and anti-tampering tools: These are other methods that can be used to keep the bad guys from gaining insights into your code.
  • Threat detection tools: These tools examine the environment or network where your apps are running and make an assessment about potential threats and misused trust relationships. Some tools can provide device “fingerprints” to determine whether a mobile phone has been rooted or otherwise compromised.
  • Application security challenges

    Part of the problem is that IT has to satisfy several different masters to secure their apps. They first have to keep up with the evolving security and application development tools market, but that is just the entry point.

    IT also has to anticipate the business needs as more enterprises dive deeper into digital products and their application portfolio needs evolve to more complex infrastructure. They also have to understand how SaaS services are constructed and secured. This has been an issue, as a recent survey of 500 IT managers has found the average level of software design knowledge has been lacking. The report states, “CIOs may find themselves in the hot seat with senior leadership as they are held accountable for reducing complexity, staying on budget and how quickly they are modernizing to keep up with business demands.”

    Finally, the responsibility for application security could be spread across several different teams within your IT operations: The network folks could be responsible for running the web app firewalls and other network-centric tools, the desktop folks could be responsible for running endpoint-oriented tests, and various development groups could have other concerns. This makes it hard to suggest one tool that will fit everyone’s needs, which is why the market has become so fragmented.

    Application security trends

    In January 2019, Imperva published its State of Web Application Vulnerabilities in 2018. The overall findings were positive. While the number of web application vulnerabilities continues to grow, that growth is slowing. 

    That's due primarily to a decline in IoT vulnerabilities--only 38 new ones reported in 2018 versus 112 in 2017. API vulnerabilities, on the other hand, increased by 24 percent in 2018, but at less than half the 56 percent growth rate of 2017.

    Another area seeing more vulnerabilities emerge according to the Imperva report is in content management systems, Wordpress in particular. That platform saw a 30 percent increase in the number of reported vulnerabilities.

    The report noted that Drupal content management system, despite being far less popular than Wordpress, is becoming a target for attackers because of two vulnerabilities: Drupalgeddon2 (CVE-2018-7600) and Drupalgeddon3 (CVE-2018-7602). Both allow attacks to connect to backend databases, scan and infect networks and clients with malware, or mine cryptocurrencies. Imperva claims to have blocked more thatn a half-million of attacks that use these vulnerabilities in 2018.  

    By far, the two most common types of web application vulnerabilities were injections (19 percent of the total) and cross-site scripting (14 percent of the total). Remote command execution was the most common type of injection vulnerability with a total of 1,980 reported. SQL injection was second with 1,354.


    Dynamic taxonomies: keeping up with changing content | killexams.com real questions and Pass4sure dumps

    May 1, 2003

    Judith Lamont, Ph.D. By Judith Lamont, KMWorld senior writer

    Taxonomies provide an effective way to organize and access unstructured information, but project planners should factor in resources to maintain them. Taxonomies classify information into logical categories that allow users to readily browse through content. They are often used in tandem with search and retrieval tools (keyword- or concept-based) to help locate target information. However, unlike search technology alone, taxonomies reveal the overall structure of a knowledgebase, in a hierarchy that is visible to the user. The user navigates through sub-categories to narrow the search, a process that helps avoid false hits that are outside the area of interest. When used with search and retrieval tools, taxonomies aid in efficiency by limiting the volume of material that must be searched.

    In some software solutions, the model has a single underlying taxonomy in which a document appears only once, and separate classification schemes that may present the document more than once. For example, the same document may show up in a hierarchy organized by industry or by geography. Some in the industry describe the two as a canonical taxonomy and a presentation taxonomy respectively. In other solutions, the model entails one taxonomy that allows a document to appear in multiple places within it.

    Maintaining a taxonomy consists of two primary activities: incorporating new documents into the existing structure and changing the structure to accommodate new information that cannot fit into the existing one. Those processes are usually carried out through a combination of automation and human intervention. Classification techniques include keywords, statistical analyses that look for patterns of words, and use of a semantic network or ontology that analyzes words for their meaning in context. Analytical capabilities can help determine when a new category is needed, and how the documents would be redistributed. According to Laura Ramos, director at the Giga Information Group, maintenance is the most expensive part of a taxonomy project, yet is often overlooked in the planning process.

    Get started

    Although a careful analysis of content and needs is an important step in developing a taxonomy, trying to perfect it beforehand may be counterproductive. WordsToHyperlink The American Hospital Association (aha.org) developed a basic taxonomy to organize information contained in its own Web site and those of its nearly 20 affiliated organizations. Originally, each of the member Web sites had its own server, content manager and software. Few of the sites had a search capability, and none of them had a taxonomy, so finding information was difficult.

    AHA has brought all those communities into a portal, hospitalconnect.com, that uses a single content manager, taxonomy and search engine. Using Verity, healthcare professionals in different communities can now search across all of the sites in one step. The taxonomy allows users to narrow their searches to specific categories; they can also choose to search a single site.

    “One of our biggest challenges was to establish a taxonomy that was meaningful to a diverse group of communities that includes hospital CEOs, nurse executives, healthcare engineers and others,” says Herman Baumann, AHA’s executive director for business development and e-commerce. “We developed a relatively simple taxonomy to begin with, knowing that it will evolve over time.”

    Baumann describes the taxonomy as a work in progress, and is comfortable with the change management process. “Nothing is cast in stone,” he says, “and as we gain more experience, we will refine our categories.” Those decisions will be aided by Verity’s analytical capabilities, which AHA uses to provide quarterly reports on activity within each category in the taxonomy. When such analysis showed that searchers often misspelled HIPAA (Health Insurance Portability and Accountability Act) as “HIPPA,” for example, AHA added it as a keyword to retrieve the appropriate documents even if the search term was misspelled. Although categorization is done manually by subject matter experts, AHA plans to use Verity’s automated capabilities for that function in the future.

    Auto-classification or machine learning generates the rules for categories by having the system read exemplary documents. Verity also uses concept extraction to create categories. However, having the option for human intervention is critical, says Prabhakar Raghavan, Verity's CTO. “When categorization is completely automated, linkages may change because business rules are modified or document usage changes,” he notes, “so it is important to have a review process." Verity can also import existing taxonomies and populate them.

    Go with a standard taxonomy

    The news industry faces a more dynamic information environment than most. USA Today’s Web site has more than 200,000 pages that are updated 24/7. The site originally was maintained manually. When USA Today built its new XML-based editorial system, it also wanted to automatically process the large volume of incoming news content for its Web site, archives and PDA delivery. USAToday.com chose the Applied Semantics News Series solution for categorization, summarization and metatagging. The automatic categorization module now tags incoming content received from reporters or newswire services with the International Press Telecommunications Council subject codes. Typical subjects include arts, crime, health, and politics. Applied Semantics’ summarization feature automatically creates lead-in text for each story, and the metatagging module adds conceptual keyword tags. The content changes rapidly but the taxonomy is relatively stable, and rules for classification are consistently applied.

    “Users are becoming much more educated about taxonomies,” says Eva Ho, director of marketing at Applied Semantics. “Industries that have captured and stored information in document management systems now want more advanced search techniques.” Certain industries, such as news and pharmaceuticals, have developed standard taxonomies, but for many companies that want to organize their internal documents, it makes more sense to build their own and “tune” it to their content.

    Applied Semantics’ News Series is based on an ontology, or network of word meanings, that encompasses over a million words, half a million concepts and tens of millions of relationships. An ontology enables “disambiguation” based on word meanings--for example, to distinguish the meanings of “java” as coffee, a country or a programming language. One advantage of using an ontology for categorization is that the system does not need to be “trained” with representative documents, as systems based on statistical techniques do. Furthermore, having an existing knowledgebase enables accurate categorization for very short documents as well as longer ones.

    Follow the life cycle

    The NewsEdge line of products and services offered by Dialog provides specialized business news and uses its own taxonomy that organizes information by geography, industry and type of business activity. Information is collected from thousands of sources, organized and sent electronically to subscribers. The subscribers in turn use the information on Web sites and corporate intranets. After performing the categorization process manually for more than a decade, the NewsEdge services began using the Stratify Discovery System from Stratify.

    “Our key issues are keeping the taxonomy current and presenting information the way the user wants to see it,” says Steve Samler, Dialog’s architect of content enhancement. The Discovery System categorizes stories automatically, with ongoing review by editors who make decisions about both content and presentation format.

    “Part of our value-added in filtering stories is the judgment of our subject matter experts,” explains Samler. “For example, they know that a merger between two very large pharmaceutical companies is more important than a merger between two minor players, and they would select that story.”

    The categorization process is now five to seven times more efficient than previously, and information gets pushed out to clients much more quickly. In addition, customers are more confident that all of the relevant stories have been included. The Discovery System uses multiple techniques (statistical, keywords, source and Boolean classifiers) in parallel to categorize documents.

    “It is important that all four techniques be used together on every document to provide good categorization and searching,” says Ramana Venkata, CTO of Stratify. Stratify enables companies to manage the total taxonomy life cycle, from creating and defining it to testing and refining it.

    “To ensure the accuracy of classification models, “ Venkata notes, “administrators should be able to test and modify categories in real time without affecting the production environment.” For example, the software performs ongoing analyses to revise document clusters, and highlights documents that do not fit the categorization scheme. Looking at what does not fit into the taxonomy helps reveal what needs to be adjusted.

    Dynamic classification

    An innovative approach just announced by Convera combines searching with classification to produce “dynamic classification” in real time. When a document enters Convera’s RetrievalWare system, it is indexed and tagged with keywords, concepts and entities, and then placed in a taxonomy. But rather than classifying documents ahead of time for searching, dynamic classification accomplishes both in one pass when the user carries out a search. When the user enters a search query, the system presents a hierarchy of classification folders created as a result of the query. Dynamic classification, therefore, combines the benefits of a targeted search with the discovery options implicit in browsing. That approach is an extension of Convera’s model in which the foundation taxonomy underlies a variety of presentation classifications.

    “Categorization allows indexing at the corporate level,” says Claude Vogel, Convera’s chief scientist, “but classification better serves the needs of individuals or communities.” Users still have the option of establishing permanent classifications, or of converting the newly created dynamic classifications into persistent ones. That capability will be available with the release of RetrievalWare 8.0, scheduled for late April.

    At present, RetrievalWare updates the system by indexing new documents against the taxonomy and routing them to whatever classifications have been activated. If a new document cannot fit into the taxonomy, the category can be adjusted by “latching,” which expands it to accommodate the new material. Other options include find a synonym that relates the new document to an existing category, or creating a new category.

    “Maintenance is about shuffling the documents, testing new classifications and finding out if they are still valid,” continues Vogel, “and this can be done automatically.” RetrievalWare allows an administrator to see how all the documents would flow into new classifications, a process that takes about five seconds for 50,000 documents.

    Giga analyst Ramos points to analytical tools as key to good maintenance of taxonomies. "These analytics help companies know when it's time to make changes," she says. "Tools and techniques that show which categories are used a lot, or only rarely, and how closely documents fit a particular category, are critical to keeping categories updated and meaningful."

    Ad hoc categorization from Thunderstone

    A would-be purchaser who goes to eBay begins with the entire content of the Web site as the search universe, and then selects from a category or types in a search term. Categories include products, geographical regions, themes or stores. When the results are returned, the shopper can sort by price, date or other dimensions. This high-end, high-performance application is typical of those implemented by Thunderstone, using its Texis suite of relational database tools.

    “Our product is unique in being able to store and search text documents of unlimited size within standard database tables,” says Doran Howitt, marketing VP at Thunderstone. The company describes this achievement as its core capability. The Texis suite is a set of software tools that can be used to develop a variety of applications, including portals, content management and e-commerce. It is geared toward applications with very large data sets and complex searching requirements. The search capability can also be used against external documents such as Web pages.

    The Texis Categorizer assigns documents to the categories in a taxonomy and automatically attaches subject codes and other metadata after being trained on sample documents. Authorized users can create new categories. In addition, users can enter notes back into the database, add new keywords or assign categories to a document, which Thunderstone calls ad hoc categorization or categorization on the fly.

    “Users may know what category to assign to a document better than any software,” Howitt says. “But usually that knowledge goes to waste.” Howitt believes that more customers should capture feedback from users after they view a document and, after appropriate review, put it back into the database and make it searchable.

    He also notes the importance of a close and interactive relationship between categorization and search. For example, users may benefit from seeing a count of how many search hits are in each category, as on eBay. Texis is optimized to do operations like that efficiently, including keeping on-the-fly changes indexed in real time.

    Judith Lamont is a research analyst with Zentek Corp., e-mail jlamont@sprintmail.com.



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