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Metalogue: Search Results I'm at the VALA2010 conference in Melbourne, a library technology conference comparable in some ways to the LITA national conferences in the U.S. VALA opened yesterday and will continue through Thursday (Melbourne's Thursday that is). Lots of interesting stuff being discussed here. I was the first of several keynote speakers. Late yesterday a VALA conference participant, speaking at the end of the keynote on OpenCalais by Tom Tague of Thomson Reuters, suggested that WorldCat be uploaded in OpenCalais. It's an interesting notion to consider in the context of the OCLC cooperative. My colleagues Roy Tennant and Don Hamparian already started a conversation with Tom, and I hope to join in that conversation later in the conference. OCLC has done a great deal of work on identifying individuals that can be seen at and mentioned both in my plenary session.

Named-entity recognition Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. Most research on NER systems has been structured as taking an unannotated block of text, such as this one: Jim bought 300 shares of Acme Corp. in 2006. And producing an annotated block of text that highlights the names of entities: [Jim]Person bought 300 shares of [Acme Corp.]Organization in [2006]Time. In this example, a person name consisting of one token, a two-token company name and a temporal expression have been detected and classified. State-of-the-art NER systems for English produce near-human performance. Problem definition[edit] Certain hierarchies of named entity types have been proposed in the literature. Formal evaluation[edit]

Stanford shows off their federated search tool » Federated Searc 26Jan Blog sponsor Deep Web Technologies built a federated search tool for Stanford University. I was involved with the first prototype and I’m proud of what the Stanford/Deep Web Technologies partnership has accomplished. My involvement with the Stanford federated search tool was multi-faceted. Tags: federated search

The Factory 10086-1 Botanical model, deadly nightshade (Atropa belladonna), Object statement Botanical model, deadly nightshade (Atropa belladonna), made by Auzoux, Paris, France, 1865-1885 In the second half of the nineteenth century interest in the anatomical structure of the animal and vegetable world increased markedly. Traditionally wax had been used to make models but wax models were delicate and susceptible to changes in temperature which could cause them to melt or lose their shape. A pioneer of this form of modelling was Louis Thomas Jérome Auzoux (1797-1880) a French medical graduate. A common feature of many of Auzoux's models is the use of paint on a thin plaster layer which covered the papier-mâché. In 1865 Auzoux, introduced a new line of large scale botanical models for educational use. Although Auzoux used moulds to make multiple copies of his models they were still extremely labour intensive and as a result were never produced in large numbers. Geoff Barker, March, 2007

Mafait.org - project Thinknowlogy - Fundamentally designed Artificial Intelligence How-To: Search the Social Web – Ultimate Toolkit Are you using content marketing as part of your digital strategy to grow your business? If so, you're not alone. According to the Content Marketing Institute, the lion's share of marketers (some 92%) report using content marketing. In the fast moving world of digital strategy, things are always changing. What should you expect in 2014 to change in the world of content marketing? Hana Abaza of Uberflip has put together an infographic detailing five key content marekting trends for the coming year. 1. 2. 3. 4. 5.

Calais 4.0 Released: Linked Data Meets the Commercial Web Thomson Reuters is today launching the latest version of its Calais web service and open API, Calais 4.0. Calais is a toolkit of products that enables publishers to incorporate semantic functionality within their properties - enabling them to categorize content as people, places, companies, facts, events, and more. Calais 4.0 is perhaps the most significant version since the launch of Calais one year ago, because it enables publishers to connect to the Linked Data web standard that Sir Tim-Berners Lee and others in the Semantic Web community have been promoting over the past few years. Up till now, we have yet to see much commercial activity in Linked Data - developments have been largely confined to the academic and scientific communities. So we think Calais 4.0 represents an important move forward in the commercial Semantic Web - and we expect to see some big media companies using it before long. What's New in 4.0 1. Calais 4.0, explained Tague, fills in the final 2 of those pillers.

LingPipe Home How Can We Help You? Get the latest version: Free and Paid Licenses/DownloadsLearn how to use LingPipe: Tutorials Get expert help using LingPipe: Services Join us on Facebook What is LingPipe? LingPipe is tool kit for processing text using computational linguistics. LingPipe is used to do tasks like: Find the names of people, organizations or locations in newsAutomatically classify Twitter search results into categoriesSuggest correct spellings of queries To get a better idea of the range of possible LingPipe uses, visit our tutorials and sandbox. Architecture LingPipe's architecture is designed to be efficient, scalable, reusable, and robust. Latest Release: LingPipe 4.1.2 Intermediate Release The latest release of LingPipe is LingPipe 4.1.2, which patches some bugs and documentation. Migration from LingPipe 3 to LingPipe 4 LingPipe 4.1.2 is not backward compatible with LingPipe 3.9.3. Programs that compile in LingPipe 3.9.3 without deprecation warnings should compile and run in Lingpipe 4.1.2.

Bing Goes The iPhone. Still Great For Porn. Since the dawn of Bing, it’s been exceptionally good at one thing: Finding porn. Its new iPhone app, which launched tonight in the App Store, is no different. By default, the app has a Safe Search setting of “Moderate.” Searching for “porn” this way yields several promising results. However, with just two clicks, any kids can turn off safe search and off they go! I love this for two reasons: 1) The app is rated 4+, yet it’s super simple to gain access to hardcore porn in a few clicks. To be fair, Google’s iPhone app also allows you to search for porn. All that said, the Bing app is actually quite nice. Both images below taken on a search for “porn” with safe search turned off. Downstream AutoMap: Project Overview | People | Sponsors | Publications | Hardware Requirements | Software | Training & Sample Data AutoMap is a text mining tool developed by CASOS at Carnegie Mellon. Input: one or more unstructured texts. Output: DyNetML files and CS files. AutoMap enables the extraction of information from texts using Network Text Analysis methods. AutoMap exists as part of a text mining suite that includes a series of pre-processors for cleaning the raw texts so that they can be processed and a set of post-processor that employ semantic inferencing to improve the coding and deduce missing information. AutoMap uses parts of speech tagging and proximity analysis to do computer-assisted Network Text Analysis (NTA). AutoMap subsumes classical Content Analysis by analyzing the existence, frequencies, and covariance of terms and themes. AutoMap has been implemented in Java 1.7. It can operate in both a front end with gui, and backend mode. Main functionalities of AutoMap are: "From Texts to Networks"

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