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Lars Bauer

3 Geeks and a Law Blog: The Search for Meaning - 0 views

www.geeklawblog.com/...search-for-meaning.html

KM concept-search search semantic-search wordsearch

shared by Lars Bauer on 12 Jan 09 - Cached
  • First there is an effort to better structure information as it is captured. Second, there are efforts to create structure out of chaotic information (a.k.a. BLOBs), which is where next-generation search tools come into play.
  • For now I will break search into three categories: Keyword, Concept and Semantic.
  • Keyword or word searching, for this discussion, is that of searching for exact word matches.
  • ...7 more annotations...
  • The keyword method has been very useful to-date, especially when searching within large structured databases. It allows users to search by date, location, category, etc., to come up with useful results.
  • The problem with keyword searching is the expanding mass of unstructured information we now have. Keyword searching has become inadequate and at times counter productive to finding the right information quickly and affordably.
  • Concept search is one method for solving this problem. My definition: The ability to extract structure from unstructured data.
  • Concept searching is just coming into the market, with players like Recommind, Autonomy and Collexis. As an emerging technology, the challenge is good implementation. Companies and firms are attacking this problem now, so I would expect this challenge to diminish over time.
  • Semantic search is truly Web 3.0. Sir Tim suggested this concept over a decade ago and now efforts are under way to make it a reality. My definition: Attach meaning to each piece of data. In practice this means describing each piece of information by its relationship to another piece. In the geek world this is referred to as “subject, predicate, object” and is defined with a standard called RDF (more on that in another post).
  • In fact in this environment the machine can discover knowledge. By connecting all the triples via their relationships, the machine will answer questions we never ask.
  • Semantic search currently lives mostly in the minds of geeks and venture capitalists (with some exceptions).
Lars Bauer

Search at the Foundation of the Enterprise | LLRX.com - 0 views

www.llrx.com/...searchenterprise.htm

Recommind concept-search enterprise-search search semantic-search software theory

shared by Lars Bauer on 14 Jan 09 - Cached
  • Lars Bauer on 14 Jan 09
     
    "Businesses and firms are being overwhelmed with electronic records. Enterprise search offers a promising way to deal with the growth of electronically stored information. However, not all search technologies are well adapted to serve as the search backbone for an enterprise. While key word searching may help find some documents in document collections, more sophisticated search technologies are called for to assimilate and organize content across the enterprise. We have found that Recommind's Probabilistic Latent Semantic Analysis (PLSA) search engine is particularly well-suited for law firm and professional services environments, both because of the inherent power of PLSA and because Recommind's strong and diverse search platform is focused on solving problems inherent in the legal enterprise."
Lars Bauer

Bibliography (Taxonomy Strategies) - 0 views

www.taxonomystrategies.com/...bibliography.htm

KM bibliographies classification information-management research resources search semantic-web taxonomy

shared by Lars Bauer on 13 Jan 09 - Cached
  • Lars Bauer on 13 Jan 09
     
    Most of the items selected are written for a general business audience, or are a basic primer on the particular topic. Much of the material is freely available on the web. Topics include: Information Management, Information Retrieval, Knowledge Management, Metadata, Search Research, Semantic Web, Taxonomy
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