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Taxonomies And Search Aiim Mn
1. Improving Search with Taxonomy AIIM Minnesota Chapter Control: The Content Management Expo January 26 th , 2009 Seth Earley 781-444-0287 [email_address]
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11. Search is complex Enterprise search is diverse – need to access multiple applications and contexts – both structured and unstructured Business Intelligence/Analytics Customer Relationship Mgt Document repositories Custom databases and applications Intranets/web pages
12. Search is Heterogeneous Search/Tagging/Taxonomy Integration Framework Data Sources Search Mechanisms Appliances Federated Search Auto categorization/ Clustering Entity Extraction Faceted Search Semantic Search Business Intelligence Customer Relationship Mgt Document repositories Custom databases and applications Intranets/web pages
23. Metadata for a product page in a content management system Title Date Author Features Product_Name Category Doc_ID Doc_Type “ is – ness” “ about – ness” FAQ Product Press release Specification Promotion
24. Content modeling – Policy example Title Date Author Subject Doc_ID Content_ID Date Content_ID Date Content_ID Date Standard Header Policy content type Customer Service content type Claims processing content type
30. Navigational taxonomy Taxonomy can be a hierarchical grouping of navigational nodes on a web site Challenge is there is no “one way” to navigate that is correct. Is this the “correct” way?
32. Motorola.com => United States => Government => Portable Radios Motorola.com => Portable Radios => United States => Government Motorola.com => Government => Portable Radios => United States
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34. Faceted search implies tagged content with nice structured metadata… What if we don’t have a lot of existing metadata? Does that mean hire bunch of people to enter it in? Manual tagging is rarely practical with large amounts of lower value content. Instead, we need to derive implicit metadata from content
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47. We still have a context problem “ Revenue” is an ambiguous term
86. Categorizing content Statistical/linguistic Rules-based These documents look similar due to an analysis of word patterns – lets put them into the same group These documents look similar based on some rule that have created (they contain marketing plans and are about the newest widget) lets put them into the same group
87. Building a Taxonomy Slice from a set of Search Results: Courtesy of Raritan Technologies www.raritantechnologies.com
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91. Disambiguation of search results Mobile data terminals Handheld computers Network Infrastructure Mobile switches Phones Fixed mobile car phones Mobile phones Software applications Mobile applications Two way radios Mobile radios Intelligent video solutions Mobile video enforcer Mobile video sharing MESH Solutions Multi-radio mobile broadband Mobile Computing Mobile application Presenting term in multiple contexts mobile
98. Term Expansion and Federation Search Clinical trial leader searches compound data. Enters US Trade Name of compound. 1 Results All results are presented. 5 Allows Federated Search engine to search associated data sources. 4 Returns names of Clinical Trials associated with compounds. 3 Registry Clinical Trials Registry Generic Chemical Registry returns generic and chemical names. 2
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100. Example Solution: Term expansion Term expansion using public source of terms (CRISP – “Computer Retrieval of Information on Scientific Projects”) Courtesy of Raritan Technologies www.raritantechnologies.com Search on – “Hypertension”
101. Example Solution: Term expansion Term expansion using public source of terms (CRISP – “Computer Retrieval of Information on Scientific Projects”) Courtesy of Raritan Technologies www.raritantechnologies.com Search on – “Hypertension” Returns back – “ High blood pressure” – “ Congenital High Blood pressure” – “ Systolic hypertension” – etc…
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