Tweets from the Enterprise Search Summit, Spring 2011

  • 06:11:29: #ESS11 keynote Thomas Vander Wal on social search – using world torch metaphor
  • 06:13:05: capturing conversations increases quantity of information, one comment might be tomorrow’s gold – Thomas Vander Wal #ESS11 keynote
  • 06:18:27: @watchingsearch – great tweets on #ESS11 – come say hi to me
  • 06:19:31: RT @attspin: #ESS11 Tom Vander Wal channeling Tip O’Neil & Joni Mitchell | All #taxonomy is local | I really don’t know InfoClouds … a …
  • 06:24:20: Extract metadata: person, place, date, type, service, not just tags. Also recognizing co-occurrance (esp. for ambiguous terms) TVW #ESS11
  • 06:33:32: have to track who makes social ratings, they may be gaming the system — rivalries or other non-relevant reasons — TVW at #ESS11
  • 06:34:59: @pjmckeown SP 2011, I meant Sharepoint 2010, my bad, tweeting too fast, sorry!
  • 06:37:53: @k8simpson – glad you like the tweets! I ❤ search.
  • 06:39:31: @LuisGarciaReyes Gracias! Please feel free to translate anything and use the #ESS11 hashtag
  • 06:40:31: @LuisGarciaReyes – No endorsement implied, I was transmitting Alan Pelez-Sharpe’s presentation. I am very fond of Lucene/Solr.
  • 06:43:07: TVW at #ESS11 – “search as you work” (SystemOne) – sounds like 90s Autonomy, Verity, even Microsoft
  • 06:43:58: RT @watchingsearch: The example of Social Cast is highly disruptive to the business processes. What’s the difference with E-mail? #ESS11
  • 06:45:44: Add social to traditional enterprise search, see annotations and activities in search results – Vivisimo example – TVW #ESS11
  • 06:48:40: #ESS11 keynote Thomas Vander Wal – suggests adding Q&A search interface, example of change of terminology. Search then knows answers.
  • 06:59:55: Alan Pelz-Sharpe from Real Story Group, #ESS11, sees excitement in search-based applications
  • 07:01:26: Lynda Moulton – Outsell/Gilbane consultant – taken so long to move from legacy full-text to easy-install search. #ESS11
  • 07:01:58: Lynda Moulton #ESS11 – shame we have to keep re-explaining search concepts
  • 07:03:29: Hadley Reynolds (previously FAST search innovations director) – IDC survey found surprises: SEM/SEO, predictive & analytics, #ESS11
  • 07:04:34: Lynda Moulton #ESS11 – integrating with text analytics & mining will make search much better
  • 07:04:59: Hadley Reynolds #ESS11 – mobile search is the thing to pay attention to
  • 07:05:50: Alan Pelz-Sharpe, #ESS11 – companies clearing up the mess in file shares and email archives, need quality.
  • 07:06:05: Alan Pelz-Sharpe, #ESS11 – unified search is harder than it looks
  • 07:06:25: Alan Pelz-Sharpe, #ESS11 – lift in interest in faceted metadata search
  • 07:07:20: Hadley Reynolds & Martin White #ESS11 – new mobile search interfaces, search apps, task-oriented search apps
  • 07:08:51: attendee question: engineers think folder structure, hierarchy, any search engines get creative with that? #ESS11
  • 07:09:58: A: Alan Pelz-Sharpe – folder structures just work. ECM hot topic is “case management”, same document, virtual multiple folders. #ESS11
  • 07:11:10: A: Hadley Reynolds – can’t anticipate what search will need, faceted search is a great way to reorganize dynamically #ESS11
  • 07:12:27: Q: history of promises of text retrieval and semantics and other cool semantics, success with UX and UA (avi’s opinion) #ESS11
  • 07:13:47: A: Lynda Moulton semantic technologies are like AI, unpackaged, need to be easy to deploy, tech doesn’t get in the way – #ESS11
  • 07:14:41: A: Hadley Reynods – IBM’s Watson shows AI can work, we’ll see that kind of advanced text analytics applied. #ESS11
  • 07:15:39: A: Alan Pelz-Sharpe – no market dynamic for text mining tools, specific ex: insurance data, can offer prediction of claims. #ESS11
  • 07:16:10: Martin White Q: open source search #ESS11
  • 07:16:48: A: Alan Pelz-Sharpe: Open source search, Solr/Lucene, building search-based application. IBM gave it credibility #ESS11
  • 07:17:34: A: Alan Pelz-Sharpe: Open source search powering search-based applications, thousands of uses #ESS11
  • 07:18:36: A: Hadley Reynolds – Lucene/Solr growing quickly, now dominating OEM search packages, user doesn’t see it, developers necessary #ESS11
  • 07:19:30: A: Lynda Moulton – world needs search experts who can speak English and speak business, big opportunity #ESS11
  • 07:20:00: Q: where are standards for search? open standards? #ESS11
  • 07:21:09: A: Alan Pelz-Sharpe – virtually no standards for unstructured data, CMI is just about it. It might be a problem, good for interop #ESS11
  • 07:22:32: A: Lynda Moulton – how many people have a Library / Info Science background? 40% – she fought with MARC records for years #ESS11
  • 07:23:03: Q: open source text analytics tools? #ESS11
  • 07:24:27: A: Hadley Reynolds: what kind of standards would be good for text analytics? Many approaches trying out. There is UIMA – annotators- #ESS11
  • 07:25:18: #ESS11 Q: end-users in enterprise, do they still want google-like simplicity?
  • 07:26:23: A: Alan Pelz-Sharpe – enterprise end-users really want more than google-like list, something more like faceted metadata #ESS11
  • 07:27:21: A: Lynda Moulton – google has opened the discussion about search, but confused top execs about what it takes to make search work! #ESS11
  • 07:29:00: A: Hadley Reynolds – mobile is the future 80% of searches?, makes google list look bad, looking more like playlist interfaces #ESS11
  • 07:29:56: A: Hadley Reynolds – most web pages are not mobile-enabled, a lot of work to catch up, lots of work for search & navigation #ESS11
  • 07:32:07: Martin White #ESS11 thinks applied math and multilingual issues, search moving east, information retrieval research will be applied faster
  • 07:33:10: Hadley Reynolds: search applications everywhere, video search, need more search experts, centers of excellence like DBMs and BI #ESS11
  • 07:34:13: Alan Pelz-Sharpe: #ESS11 – must clean out junk content, must tag and id content (even if auto is not perfect), balancing navigation & search
  • 07:34:51: Alan Pelz-Sharpe: #ESS11 – search is an *ongoing* investment, clients are surprised at resources and investment required
  • 07:36:04: Lynda Moulton #ESS – infrastructure, sustainability, big risk factors of NOT doing it
  • 07:37:04: Lynda Moulton #ESS11 – must be assertive towards vendors, UI, upgrade track record – find vendors with subject experience, pay attention
  • 09:07:36: #ESS11 @ronaldbaan – I think diversity in search results is incredibly valuable
  • 09:09:38: #ESS11 semantic search & taxonomy – specific to health care, avoid a long tail vocabulary for search – presentation by Healthline Networks
  • 09:11:25: #ESS11 – need to uncover and understand prices and services (e.g. urgent health clinic vs. emergency room) – Healthline
  • 09:12:58: disparate vocabularies: medical jargon, insurance, hospitals, patients, need semantic technologies to access information #ESS11
  • 09:16:00: vital topics and concepts need to be connected across industries, markets, cultures – semantic taxonomies – Healthline Networks – #ESS11
  • 09:17:20: semantic technologies – build taxonomy based on knowledge modeling, NLP, machine learning, enable search engine – Healthline Networks #ESS11
  • 09:17:50: building a taxonomy is never-ending #ESS11
  • 09:19:56: #ESS11 SBAs (search based applications): symptom search, doctor search, pill finder – Healthline Networks
  • 09:21:32: semantic types – bidirectional – symptoms associated with heart attack, conditions associated with symptoms Healthline #ESS11
  • 09:24:34: semantic interchange, connect programs and services, example Insurance and Employers, personalized search results Healthline Networks #ESS11
  • 09:25:52: Yahoo Health example, consumer-facing, applied semantics, increased from 100 to 500 identified pages on topic, Healthline Networks #ESS11
  • 09:29:13: Amazing: 3D visual body search – http://www.healthline.com/human-body-maps Healthline Networks #ESS11
  • 09:32:59: First Life Research: NLP to mine social media health 6 billion blog posts – what people are saying about drugs / Healthline / #ESS11
  • 09:35:26: #ESS11 Q: huge challenges of dealing with wildly varying language usage? A: NLP and semantics together #ESS11
  • 09:44:03: health queries tend to be three words or longer, can apply semantics, provide lots of context rather than results list. Healthline #ESS11
  • 12:03:46: Peter Morville’s Lookup vs. Learn Search –
    Greg Merkle / Dow Jones / Factiva search since the late 80s #ESS11
  • 12:05:29: Even at info firms, library research is being rolled over to consultants, analysts, etc. Greg Merkle #ESS11
  • 12:06:40: Factiva ethnographic research – watch customers work – example RFP, due diligence: research/search/summaries #ESS11
  • 12:07:45: Factiva – role and goal-based search applications, everyone who touches the information adds value, foundation for next-gen search #ESS11
  • 12:14:38: Factiva: moving from ad-hoc searches to alerting and monitoring, automate rich reports, not just words, context, domain information, #ESS11
  • 12:15:49: “Zero-term Searching” (FAST uses it) – no searchbox, search is auto- generated, dynamic monitoring view / Greg Merkle, Factiva at #ESS11
  • 12:21:05: Linked Data – web standards for creating interchangeable metadata, can be used to knit together internal and external data – #ESS11
  • 12:22:35: Front-load answers instead of waiting for users to ask questions, create patterns, add dimensions for individual goals / Factiva #ESS11

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