IBM desarrolla software Open Source Ubuntulandia

IBM desarrolla software Open Source

hugoluis @ 09:38 Tags: Correo electrònico

BM ha presentado un potente software Open Source de bùsqueda "inteligente" para ayudar a las personas a encontrar las informaciones diseminadas en el vasto database personal en el cuàl se ha transformado hoy en dìa el correo electrònico, identificando y señalando las informaciones màs importantes en una query de bùsqueda y encontrando lo que el utente busca.

Il IOPES (IBM OmniFind Personal Email Search) es el tool que ayuda a trabajar mejor y sobretodo disminuye la sobrecarga de informaciones.

Creado gracias a un proyecto de colaboraciòn entre los centros de bùsqueda y desarrollo informàtico de Almaden (California), Haifa (Israel) y Nueva Delhi (India).

El software usa la UIMA (Information Management Architecture) una arquitectura software Open Source en grado de ayudar a las organizaciones a crear nuevas tecnologìas para el anàlisis.

Desarrollada inicialmente por IBM ahora UIMA se ha transformado en un proyectoOpen Source llevado adelante por Apache Software Foundation (ASF).

Al momento disponible para Lotus Notes y Microsoft Outlook el tool se puede consultar y descargar en la secciòn alpha works de IBM:

http://www.alphaworks.ibm.com/tech/emailsearch

Update: November 27, 2007

New version incorporates bug fixes for Outlook installation problems as well as installation problems reported by users of non-English Windows machines.

What is IBM OmniFind Personal E-mail Search?

Simple keyword or text search is not always effective for quickly finding what you need. IBM® has gone beyond keywords by inventing a fast and accurate semantic search system for personal e-mail.

IBM OmniFind Personal E-mail Search enables semantic searching by extracting and organizing concepts and relationships from personal e-mail. Any business e-mail user who must search in order to accomplish a business purpose will find this tool invaluable. Customization of semantic concepts and the ability to share these concepts with colleagues make this tool especially useful for large enterprise customers.

IBM OmniFind Personal E-mail Search is easy to install and configure and automatically adjusts to desktop load.

How does it work?

Users simply type keywords to express their queries. The tool intelligently matches these queries against pre-defined concepts (such as persons, phone numbers, addresses, or schedules) and relationships amongst such concepts (such as a person's phone number or address). In ambiguous situations, the intelligent search engine will interact with the user in order to determine the user's true intention.

Users can create new concepts using the tagger utility and thereby customize their semantic search. Both system tags and user-defined tags are searched during run time.

The tagger utility also enables users to easily share taggers, thereby promoting community search efficiency and cooperation while keeping their e-mail private.

The components of IBM OmniFind Personal E-mail Search are as follows:

an e-mail crawler (Lotus Notes/Outlook)
a document-processing, concept-tagging pipeline
an indexing component
a run-time semantic search component
a tagger utility.

About the technology author(s):
Sriram Raghavan, of IBM's Almaden Research Center, develops powerful semantic search technology that exploits structured information extracted from text to enable high-precision keyword information retrieval.

Rajasekar Krishnamurthy, Ph.D. (Almaden), focuses on scalability and quality in the context of large-scale information extraction systems and is building a declarative rule-based information extraction system.

Eser Kandogan, Ph.D. (Almaden), is interested in information interaction, user interfaces, semantic search, human interaction with complex systems, ethnographic studies, information visualization, and end user programming.

Yosi Mass (Haifa, Israel) leads several projects, is responsible for numerous patents and publications, and is the father of the "XML Fragments" query language for semantic search in XML and in Unstructured Information Management Architecture (UIMA).

Nadav Har'El (Haifa) works on information retrieval in geographic data mining, desktop search, advanced faceted search, and social search. He created the popular Hspell, an open-source Hebrew spell-checker used by OpenOffice and Google's Gmail.

Michael Bluger (Haifa) works on textual search, including desktop search. His background is in natural language processing, artificial intelligence, machine translation, agent-based Web search, text analysis and classification, and information retrieval.

Huaiyu Zhu, Ph.D. (Almaden), focuses on infrastructure for text analytics and applications, and, in particular large-scale analytics for enterprise search applications.

Ganesh Ramakrishnan, Ph.D. (India), focuses on information extraction, especially rule and feature induction using inductive logic programming, speeding up of rule-based information extraction techniques, and environments for developing and organizing rules.

Kyna Sah manages projects of IBM's Information Management (IM) Architecture Board, Advanced Technologies, for the IBM IM Chief Technology Office; her projects include launching new product initiatives at the Information On Demand Conference.

Shivakumar Vaithyanathan, Ph.D. (Almaden), manages the Unstructured Information Analysis group at Almaden and is the technical project leader for IBM OmniFind Personal E-mail Search. He is an associate editor for the Journal of Statistical Analysis and Data Mining.