Haim Koshchitzky of Sys-Con Media recently wrote, “Enterprise applications can ‘live’ in many places and their logs might be scattered and unstandardized. First generation log analysis tools made some of the log data searchable, but the onus was on the developer to know what to look for. That process could take many hours, potentially leading to unacceptable downtime for critical applications. Proprietary log formats also confuse and confound conventional keyword search. That’s why semantic search can be so helpful. It uses machine intelligence to understand the context of words, so it becomes possible for a Google user to type ‘cheap flights to Tel Aviv on February 10th’ rather than just ‘cheap flights’ and receive a listing of actual flights rather than links to airline discounters. Bing Facebook, Google and some vertical search engines include semantic technology to better understand natural language. It saves time and creates a better experience.” Read more
Posts Tagged ‘enterprise search’
Interested in discovering what’s happened to some of the enterprise search vendors that have piqued your interest in the past? You may want to head here, where enterprise search industry expert and author of the Enterprise Search Report Stephen E. Arnold of ArnoldIT is posting a series of profiles of firms that have tried and failed – or in some cases, still are trying to – make a business in enterprise search.
It’s not easy, Arnold writes: “Search is a very difficult problem to solve and turn into a sustainable business.”
How seamlessly are employees able to conduct searches for enterprise data?
According to a new survey from SearchYourCloud, not very. Some searches, it finds, take up to 25 minutes, and often users have to do 8 different queries until the right document is found. Only 1 in 5 searches come out with correct results the first time. “That’s appalling in this day and age,” says founder and CEO Simon Bain.
Derrick Harris of GigaOM reports that PureDiscovery, a company we have covered in the past, has raised $10 million in Series C funding to reinvent enterprise search. Harris writes, “Rather than indexing documents and letting users perform keyword searches, PureDiscovery is focused on semantic technology and learning the concepts contained within a company’s content. We first covered PureDiscovery in early 2012, when the company was just beginning its push out of the legal field where it has already made a name for itself. The company’s software has proven effective in e-discovery, where it’s used to learn what’s contained within thousands of pages of documents turned over during litigation. PureDiscovery also powers patent search for LexisNexis, where it has analyzed hundreds of millions of patent documents and journal articles to surface the most-relevant content regardless of keyword relevancy.” Read more
Searchbox is taking its enterprise semantic search technology in a new direction. The offering, which The Semantic Web Blog initially covered here, today is packaged as a software-as-a-service (SaaS) solution, and it’s now based on the Apache Solr open source enterprise search platform from the Apache Lucene project rather than on proprietary technology.
“We completely changed the technology stack for keyword search and integrated our semantic technology into Solr,” says chief product officer Jonathan Rey. On top of Apache Solr, he says, the company developed a search application framework that IT managers, CIOs, and developers can leverage to provide a richer experience to end users.
“There is no such thing as ‘standard enterprise search.’ Searchbox is a platform onto which companies can build a specialized search engine,” Rey says.
Mindbreeze, a software provider for enterprise search and digital cognition, has been positioned as a “Challenger” in the Gartner “Magic Quadrant for Enterprise Search” 1). The evaluation is one of the most internationally influential market analyses for the evaluation of enterprise search software. The US analyst group analyses different providers based on criteria such as market penetration, innovation and strength of implementation and places them into the categories “Challengers”, “Leaders”, “Visionaries” and “Niche Players”. Read more
A new article reports, “Concept Searching, a global leader in semantic metadata generation, auto-classification, and taxonomy management software, and developer of the Smart Content Framework™, recently completed a survey of its clients as well as the broader marketplace. The survey focused on the use of intelligent metadata enabled solutions within enterprises from diverse industries and sizes. Concept Searching’s Smart Content Framework™, which is supported by automatic semantic metadata tagging, auto-classification, and taxonomy management technologies, can be readily extended to improve not only search, but also records management, data privacy, migration, and text analytics. The results of the survey indicated the number one priority is improving enterprise search.” Read more
KM World recently reported, “Bloomberg BNA is deploying a content enrichment platform to help manage its multimillion-document database. Bloomberg BNA is a wholly owned subsidiary of Bloomberg, a source of legal, regulatory and business information for professionals. Bloomberg BNA is implementing the Luxid Content Enrichment solution from TEMIS. It will use the semantic tagging and linking platform to categorize news articles and other content, consistently indexing unstructured data against a comprehensive legal taxonomy.” Read more
Martin White of CMS Wire recently predicted that search, semantic and otherwise, will be a business critical application in 2013. He writes, “Looking back, 2012 has been quite a year for search. From a business perspective Lexmark acquired Isys-Search, Lucid Imagination changed its name, Attivio gained a US$ 37 million investment, Coveo followed with an US$ 18 million investment, Apache Lucene and Solr moved to Release 4, ElasticSearch set up a commercial arm and Microsoft announced a seriously well-featured SharePoint 2013 search application. Gradually a picture of search implementation is beginning to emerge, thanks to surveys from Findwise, MarkLogic, Oracle and AIIM. The picture is not a pretty one. All agree that information is a business-critical asset but companies have failed to understand the urgent need to provide technology and support for search.” Read more
What can semantic search do for your enterprise? One example comes from the recently launched Searchbox online semantic search engine by the company of the same name (which formerly was known as salsaDev).
One of the vendor’s biggest customers is the European Commission, according to Nicolas Gamard, CEO of the Switzerland-based company. That early adopter of Searchbox is using the technology for improving search related to its public grants funding, which amounts to tens of billions of dollars since 2007. Before deploying Searchbox, both researchers and its own commissioners struggled with conducting searches across 15 different repositories, as they looked for previously funded projects and partnership possibilities across the continent, for example. Tooling through a research grant PDF document of some 150 to 600 pages was another time-consuming issue, he says.
“It was like a full-time job just to look at all the different data sources. Things were not formatted in the same way – they used different terms and structures,” Gamard says.
Today, Searchbox powers a single web application for the European Commission, where all such content is interlinked together. “So, if a researcher is looking at a grant, we suggest all the related relevant research grants, partnership opportunities across Europe, all previously funded projects, and all the information he or she needs,” says Gamard. “That’s done automatically so that, within a single look, within 5 minutes you can have identified all the research opportunities right for you.”
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