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Hid content management systems


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Hid content management systems

  1. 1. Content Management System
  2. 2. What is Content? • The concept of – structured vs. unstructured data – Data vs. Content • Structured data fits neatly into well-defined buckets. • “unstructured” data, which does not fit so predictably into welldefined buckets, has become known as “content.”
  3. 3. Business Process Structured Data Unstructured Data Sales Contact Information Cover Letters, Proposals, Contracts,RFPs Marketing Product Numbers and Prices Brochures, Specifications, FAQs , Web Banner Ads. Production Bills of Materials, Inventory Levels Engineering Drawings, Process Specifications. Customer Support Customer Lists, Phone Logs, Contact History Customer Correspondence ,Troubleshooting , FAQ Purchasing Vendor ID, Item Number, Price, Discount Product Specifications, Vendor Catalogs Human Resources Employee Lists, Payroll Benefits Information Employee Policies, Resumes, Performance. Finance and Administration General Ledger, Financial Projections Annual Reports, Board Minutes ,Compliance Reporting, Accounting Policies
  4. 4. Enterprise Content Management – sample user requirements (from a large Financial Svcs Company) • “If a new bond comes into inventory, then we should get a message, an alert...and be able to refine to say that I only have California, Oregon and Washington clients...." • “In the month of July, I received 95 e-mails from my subscriptions. These e-mails included 61 that had 143 attachments that had 67 more attachments. In total therefore, I received almost 400 documents including 5 different types (HTML,PDF, Word, Rich Media, …). Even with this volume, I had subscribed to only 10 categories in the Equities area. There are a total of 26 Equity Subscription areas and a total of 166 categories to which a user can subscribe across all Product Areas.” Professional users of a traditional Content Management Product/Solution
  5. 5. Enterprise Content Management – sample user requirements (from a large Financial Svcs Company) • The real question is, "Which sales ideas may have significant relevance to my book of business?" For example, an earnings warning on an equity rated Hold or Lower and not owned by any of my clients may not be of high relevance to me. Ideally, a relevance analysis would: – Greatly reduce the volume of Product Area Ideas sent to every FA, hopefully to perhaps 10% to 20% or less of today's volume with ideas that are potentially actionable for that FA and his/her client – Result in FAs reading and evaluating the Product Area Ideas, taking appropriate actions, and generating sales because the Product Area Ideas would be relevant – Result in customer satisfaction because clients would understand FAs are paying attention to their needs and developing focused ideas Professional users of a traditional Content Management Product/Solution
  6. 6. Enterprise Content Management – sample product requirements (from a large Financial Svcs Company) • “Content generation is a more complex and probably costly problem to solve ... we reportedly create about 9 million messages a month for field delivery. On average, this would mean 1,000 messages per month per ‘big user’ or perhaps only 500 to 600 per ‘little user’.…I strongly believe an analysis is in order of the nature and necessity of generated content , the establishment of content generation standards, the movement towards development and implementation of a relevance engine, … “ Director (Product Management) of a large company that uses a leading Content Management Product
  7. 7. How is Content managed? Author EditUpdate Publish Content management is significantly more complex than management of structured relational data. A system that pieces together content for the purpose of viewing that content within a web based device
  8. 8. Action Data Content Create Created automatically by applications or manually via a forms-based interface Requires creative skills and often collaboration between multiple contributors Review and Edit If manual review is required ,normally a quick double-check via a forms-based interface or audit report Requires a complex iterative cycle in which multiple parties make comments and annotations that are factored into the next updated version Link to Related Information Through foreign keys and/or relational JOIN operational Requires a combination of hyperlinks ,metadata, and “virtual document” parent- child Relationships Format and Deliver Typically handled through standard reporting tools, Visual Basic interfaces or ASP/JSP tools on the Web Requires complex formatting specifications and transformations between file formats, XML
  9. 9. Action Data Content Update Typically handled at either a field or record level in a well- defined application Environment Changes may occur at any level (e.g. a word in entire chapter, etc.), requiring complex change management including control and track the specific items that were changed Index Handled through a well- defined relational schema Requires a combination of structured hierarchy (e.g. cabinet-folder structure) and flexible relational metadata. Search and Retrieval Typically handled though SQL queries using the defined relational schema Often requires a complex combination of metadata, full text and structural elements, and sometimes even more exotic techniques such as Query-by- Image-Content
  10. 10. What Makes Content Management Difficult? • The flexibility and unpredictability of content • Lack of well-defined, industry-standard application infrastructure for handling content • Complex creation, update and change management cycles • Complex reuse and repurposing issues • Complex cross-referencing and indexing schemes • Complex formatting and transformation requirements • Complex search and retrieval issues
  11. 11. A Brief History of Content Management • Content has existed for at least 5,000 years, since the invention of written language. • Formal content management probably didn’t begin until the founding of the Library of Alexandria in 150 B.C. • For at least the last 100 years, content has been playing a big role in business, in the form of brochures, catalogs, contracts , correspondence, invoices, purchase orders, billings and so forth. • As the 1990s dawned, personal computers were increasingly becoming linked by local area networks. With the realization that this provided a means to re-establish control over electronic content, the age of document management was born.
  12. 12. A Brief History of Content Management • By 1998, the Web had evolved from an interesting phenomenon to serious business, and was now composed of billions of individual Web pages. Suddenly “document management” began to go out of vogue, and “web content management” became the central focus. • The Web frenzy hit its crescendo in 1999, but with the and NASDAQ crash in the year 2000, attention has again turned to a more balanced combination of print and web-based content. Also, while the rush to B2C e-commerce has slowed somewhat, there is now a renewed focus on automatically communicating electronic business content through XML- based B2B commerce networks.
  13. 13. Variation Business Purpose Example Web Content Management Ensure that complex Web site content is complete, up- to date Managing all the content behind the Knowledge Management Archive and index critical organizational knowledge so that employees can take advantage of it Extensive knowledge base used by service technicians at a telecommunications Company Document Management Manage complex document-based information so common elements can be reused, and documents can be dynamically assembled for publishing Management of overlapping and constantly changing information in automobile user manuals, dealer service manuals, and technical Specifications
  14. 14. Variation Business Purpose Example Imaging Management Replace costly and error prone paper processing with electronic storage and workflows Insurance claims processing Digital Asset Management Allow a mass of multi- media electronic content (photos, audio, video, etc.) to be stored in Multimedia Data base Finding artwork for developing advertising creative , archiving news video clips at CNN Records Management Ensuring that critical records are secure but accessible, and are deleted when they should Be Management of required documentation at a nuclear power plant
  15. 15. The Role of XML in Content Management • XML blurs the distinction between structured and unstructured data, allowing data items buried inside an unstructured document to be explicitly tagged. • XML plays at least three key roles in content management: – As a source format for content publishing – As a delivery format to the web – As a universal data interchange format
  16. 16. New Enterprise Content Management Challenges 1. More variety and complexity  More formats (MPEG, PDF, MS Office, WM, Real, AVI, etc)  More types (Docs, Images -> Audio, Video, Variety of text- structured, unstructured)  More sources (internal, extranet, internet, feeds) 2. Information Overload  Too much data, precious little information (Relevance) 3. Creating Value from Content  How to Distribute the right content to the right people as needed? (Personalization -- book of business)  Customized delivery for different consumption options (mobile/desktop, devices)  Insight, Decision Making (Actionable)
  17. 17. New Enterprise Content Management Technical Challenges 1. Aggregation  Feed handlers/Agents that understand content representation and media semantics  Push-pull, Web-DB-Files, Structured-Semi-structured-Unstructured data of different types 2. Homogenization and Enhancement  Enterprise-wide common view  Domain model, taxonomy/classification, metadata standards  Semantic Metadata– created automatically if possible 3. Semantic Applications  Search, personalization, directory, alerts, etc. using metadata and semantics (semantic association and correlation), for improved relevance, intelligent personalization, customization
  18. 18. Related Stock News Semantic Web – Intelligent Content (supported by Taalee Semantic Engine) Industry News Technology Products COMPANY SEC EPA Regulations Competition COMPANIES in Same or Related INDUSTRY COMPANIES in INDUSTRY with Competing PRODUCTS Impacting INDUSTRY or Filed By COMPANY Important to INDUSTRY or COMPANY Intelligent Content = What You Asked for + What you need to know!
  19. 19. Focused relevant content organized by topic (semantic categorization) Automatic Content Aggregation from multiple content providers and feeds Related news not specifically asked for (Semantic Associations) Competitive research inferred automatically Automatic 3rd party content integration Semantic Application – Equity Dashboard
  20. 20. Technologies for Organizing Content • Information Retrieval/Document Indexing • TF-IDF/statistical, Clustering, LSI • Statistical learning/AI: Machine learning, Bayesian, Markov Chains, Neural Network • Lexical, Natural language • Thesaurus, Reference data, Domain models (Ontology) • Information Extractors • Reasoning/Inferencing: Logic based, Knowledge-based, Rule processing and Most powerful solutions require combine several of these, addressing more of the objectives
  21. 21. Ontology • Standardizes meaning, description, representation of involved concepts/terms/attributes • Captures the semantics involved via domain characteristics, resulting in semantic metadata • “Ontological Commitment” forms basis for knowledge sharing and reuse Ontology provides semantic underpinning.
  22. 22. An Ontology Disaster eventDate description site => latitude, longitude site latitude longitude Natural Disaster Man-made Disaster damage numberOfDeaths damagePhoto Volcano Earthquake NuclearTest magnitude bodyWaveMagnitude conductedBy explosiveYield bodyWaveMagnitude < 10 bodyWaveMagnitude > 0 magnitude < 10 magnitude > 0 Terms/Concepts (Attributes) Functional Dependencies (FDs) Domain Rules Hierarchies
  23. 23. Controlled Vocabularies/ Classifications/Taxonomies/Ontologies • WordNet • Cyc • The Medical Subject Headings (MeSH): NLM's controlled vocabulary used for indexing articles, for cataloging books and other holdings, and for searching MeSH-indexed databases, including MEDLINE. MeSH terminology provides a consistent way to retrieve information that may use different terminology for the same concepts. Year 2000 MeSH includes more than 19,000 main headings, 110,000 Supplementary Concept Records (formerly Supplementary Chemical Records), and an entry vocabulary of over 300,000 terms.
  24. 24. Semantic Technology Features • Unstructured Text Content • Semi-Structured Content • Structured Content • Audio/Video Content with associated text (transcript, journalist notes) • Create a Customized "World Model" (Taxonomy Tree with customized domain attributes) • Automatically homogenize content feed tags • Automatically categorize unstructured text • Automatically create tags based on text Itself • Create and maintain a Customized Knowledge Base for any domain • Automatically enhance content tags based on information beyond text • Build contextually relevant custom research applications • Contextual Search (an order of magnitude better than keyword-based search) • Support push or pull delivery/ingestion of content • Personalization/Alerts/Notifications • Real Time Indexing (stories indexed for search/personalization within a minute) • Provide the user with relevant information not explicitly asked for (Semantic Associations)
  25. 25. Along with the evolution of metadata and semantic technologies enabling the next generation of the Web, Content Management has entered the next generation of Enhanced Content Management.