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Making Search Relevant SchemaLogic

Making Search Relevant SchemaLogic. Gary Carlson Chief Taxonomist garyc@schemalogic.com. Business Semantic Management. Enable Global 5000 companies to better leverage their corporate information assets for competitive advantage.

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Making Search Relevant SchemaLogic

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  1. Making Search Relevant SchemaLogic Gary Carlson Chief Taxonomist garyc@schemalogic.com

  2. Business Semantic Management Enable Global 5000 companies to better leverage their corporate information assets for competitive advantage • Provide the ability to connect the languages used across the enterprise to describe corporate information • This enterprise language unifies corporate information management systems, enabling employees to find everything about a subject no matter how it has been described.

  3. Managing Your Semantics as an Operational Process Model Collaborate Semantics are no longer constrained by legacy IT processes Continually enrich and expand the semantic model involving both IT and Subject Matter Experts Govern Publish Impact analysis Complete and timely with notification to stakeholders Leverage up-to-the-minute semantics across consuming platforms and services

  4. Semantics with SchemaLogic: Agility, Consistency and Governance MetadataRepository Data Warehouse Metadata Metadata Metadata Unstructured ContentMgmt Applications SearchText AnalyticsPortals Data Warehouse Pervasive Standards-based NetworkingHTTP, FTP, SMTP, SOAP, REST, WSDL, UDDI, LDAP, TCP/IP, Ethernet, WiFi Subject Matter Experts Participate in Standards Process Business Semantic Management Web Collaboration Impact Analysis Governance and change management Real-time publication IT - Engineering Administrator Stewards Developer Compliance Verification Data Architects Business Owner Real-timePub-SubNotification MetadataRepository Data Warehouse Metadata Metadata SearchText AnalyticsPortals Unstructure ContentMgmt Applications Data Warehouse

  5. ACommon Quote… “Search attempts returned either thousands of results — only a fraction of which were relevant — or perhaps your search didn't bring accurate results. It is a common problem within an enterprise …”

  6. Business Semantics Management = Information Optimization • Companies have deployed many applications to manage the explosive growth of information • This information must be described or “tagged” consistently • Semantics are the terms and relationships used to describe information and content • Business semantics must be consistent in order to efficiently create and exchange information

  7. A Solution • Goals: • Define a define the Organizational Semantics • Provide flexibility • Allow Technical and business owners to participate as appropriate • Make the models available programmatically to Search, Content Management, databases, and Portals • Outcome: Up-to-date information is categorized, tagged, stored, and retrieved in a consistent fashion across the company, enabling employees to get the full story — everything about anything — no matter how it has been described.

  8. Competitive Advantage: Media and Publishing • Problem • The news industry is under threat from Internet-driven open source content • Random and inconsistent tagging prevents delivery of richer, more relevant content • Solution • Provide structure to all phases of the tagging process • Access and apply tags from a common model • Allow users to enhance the common model using social collaboration • Publish tags to content portals to enable real-time content syndication • Result • Richer, more relevant content streams • Rapid creation of new content streams using tags updated in real time “Tags and links have become the new currency of the Internet” Tom Curley, CEO, Associated Press

  9. 2007 AP Content Infrastructure • Pipeline services include: • Versioning • Indexing • Productization Published content is normalized to standard XML 3rd party content Products defined based on rich subject metadata • Distribution methods: • Internet syndication • NNTP • FTP • Satellite • Web portals eAP (storage) Editorial Tools (Input) Vocabulary relationships feed search engine Auto-tagging services (Teragram) apply standard values from SchemaLogic Standardizing values upstream where possible • Metadata Services • Controlled vocabularies fed to editorial tools • Auto-tagging applies subject and entity metadata from controlled vocabularies • Rich relationships between subjects, entities • Administration of how and when different kinds of metadata are applied SchemaLogic Enterprise Suite

  10. Questions? Gary CarlsonChief TaxonomistSchemaLogicgaryc@schemalogic.comwww.schemalogic.com

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