Welcome!

Eclipse Authors: Pat Romanski, Elizabeth White, Liz McMillan, David H Deans, JP Morgenthal

News Feed Item

Expert System Announces Integration With Apache Solr for Enterprise Search

Semantic features enrich the platform with greater options for building a customized, highly effective search experience for greater access to enterprise content.

MODENA, ITALY -- (Marketwire) -- 01/23/13 -- Expert System, the semantic software company, today announced the full integration of its Cogito® semantic platform with the Apache Solr(TM) open source enterprise search platform. Through the integration with Cogito, organizations using Solr will be able to enhance their technology investment by delivering faster, more precise access to big data and enterprise content.

Cogito exceeds the limits of traditional search and provides a deep understanding of words by fully understanding their meaning in context. Backed by a powerful semantic network enhanced by vertical knowledge for the most important sectors (finance, security, oil and gas, etc.), Cogito ensures higher precision and recall than traditional systems.

The goal of enterprise search is to be able to ensure quick and effective access to content regardless of form. With Cogito, organizations are able to create order and structure in their information by tagging each document based on the relevant taxonomy and ontologies. Cogito enables Solr users to take advantage of extracted metadata to more easily connect and deliver even disparate types of content, providing new facets for guided navigation and categorization of topics for overall improved search relevance.

"As more organizations recognize the opportunity presented by their information streams, it is important they understand that there are advanced tools that can improve the performance of their existing enterprise content and search investment," said Luca Scagliarini, Vice President of Strategy & Business Development, Expert System. "Semantic technology not only excels in making search and information management more accurate, but it also allows organizations to improve the quality of their information for use in the decision making process."

Expert System

Expert System is the semantic software company that specializes in helping organizations gain insight and intelligence from information. Worldwide customers include Chevron, Eni Group, ANSA, Telecom Italia, Microsoft and Raytheon. www.expertsystem.net.

Contacts:
Editorial Contact:
Expert System
Charlotte Fisher
+39 059 894011
[email protected]
www.expertsystem.net

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...