Semantic Search

Facebook’s Graph Search Now Lets You Search for Specific Posts

FacebookAmit Chowdhry of Forbes reports, “This week, Facebook is adding the ability to search for keywords contained within posts, photos, articles and videos that were shared with you. Facebook’s semantic Graph Search features like the ability to search for the phrases “My friends that work at Facebook” and “Photos of my friends” has not changed. Facebook launched Graph Search in beta last year. Facebook decided to add the post search feature after receiving feedback from users… ‘With a quick search, you can get back to a fun video from your graduation, a news article you’ve been meaning to read, or photos from your friend’s wedding last summer,’ said Tom Stocky.” Read more

MarkLogic Recognizes Smartlogic with Partner Excellence Award

smartlogicSan Jose, CA (PRWEB) December 08, 2014 — MarkLogic recognized Smartlogic with a Partner Excellence Award for Smartlogic’s ability to power MarkLogic’s native semantic and search capabilities.

Semaphore performs ontology-driven semantic analysis to describe and extract information from content of all types and sources. Semaphore turns text into data by analyzing it and creating triples or XML metadata describing the results of that analysis. This machine readable data powers MarkLogic’s native semantic and search capabilities. Read more

Sprylogics Signs Partnership With iHeartMedia To Promote Its “Breaking Sports” App Through FOX Sports Radio Network

sprylogicsSprylogics International Corp. (“Sprylogics” or the “Company”) (SPY), a technology provider of local mobile search, semantic search and messaging solutions for consumers and businesses, announced today a partnership with iHeartMedia, the leading media company in America with a greater reach in the U.S. than any other radio or television outlet, to launch Sprylogic’s ground-breaking new app, Breaking Sports, through iHeartMedia’s FOX Sports Radio Network. Read more

Semantic Search for the Rest of Us: Tips for Businesses

sej-1Ian Harris of Search Engine Journal recently wrote, “Semantic search gives the industry a chance to go back to basics and provide information rather than force it. Let’s take a look at how to embrace semantics.” First off, Harris suggests thinking like a user: “Simply put, if you’re going to optimize for the user, you need to think like the user. In the world of semantics, keywords just don’t cut it… Take the above example. You can see that semantics for a generic term already highlights a wealth of information that a search engine has matched to the keyword. Imagine you are building up your semantic relevance for your delivery service. Optimization on your website should be geared towards information surrounding that service, not only to gain a ranking within relevant SERPs, but to provide answers relevant to your expertise. This could mean you’re providing information about your delivery service, the logistics of your business, and what’s happening in the industry. If the site only focuses on keywords, opportunities will be missed.” Read more

White House Releases Climate Resilience Toolkit with Text Analysis and Data Visualization

crtwebLyzard reports, “Following a presentation by U.S. Vice President Joe Biden, the White House has just released the Climate Resilience Toolkit, a new decision support initiative that makes use of the innovative text analysis and knowledge visualization services of webLyzard technology. The Toolkit provides expert knowledge and a suite of analytic components to help citizens and communities manage climate-related risks and opportunities. The webLyzard platform allows users to identify the most relevant online content across all agencies of the U.S. Global Change Research Program as well as regional climate science centers. The development of the Toolkit was led by the National Oceanic and Atmospheric Administration (NOAA), which has been using webLyzard’s web intelligence technologies for more than six years.” Read more

Researchers Create First Image-Recognition Software that Greatly Improves Web Searches

DartmouthHANOVER, N.H. – Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.

The new system, which was tested on photos and is now being applied to videos, shows for the first time that a machine learning algorithm for image recognition and retrieval is accurate and efficient enough to improve large-scale document searches online. The system uses pixel data in images and potentially video – rather than just text — to locate documents. It learns to recognize the pixels associated with a search phrase by studying the results from text-based image search engines. Read more

Better Cloud Storage is About Search, Not Big Data

MarkLogicMark Albertson of The Gospel Herald recently wrote, “Much of the conversation surrounding the cloud storage industry today is centered on managing the demands of big data. Yet the real story may well be how cloud technology vendors are moving to better search and organize the vast amount of data collected by Fortune 500 companies on a daily basis, and the potential problems this trend may cause for cloud storage firms such as Box or Dropbox. One of the companies at the front line of ‘smarter data’ as opposed to just ‘big data’ is MarkLogic, a database company based in San Carlos, California, who has been working with major global firms since 2001 to improve search and draw valuable meaning from the data being collected, a process often referred to as working within the semantic Web.” Read more

Rich Snippets: Shifting From Targeting Keywords to Answering Questions

product-search-engine-diagramBarbara Starr of Search Engine Land recently wrote, “Search engines are evolving. Search is not only becoming faster, it’s becoming more predictive and conversational — more like a personal assistant. In the old days, search engine results pages (SERPs) presented little more than a collection of 10 blue links — the results of a search over web documents. These listings typically consisted of the URL along with a “snippet” of text and perhaps some other information. Search engines became quite adept at determining and displaying relevant and readable snippets.” Read more

Sprylogics Develops Innovative Mobile Application to Address Sports Information Market

sprylogicsNov 5, 2014 8:30 a.m. ET — Sprylogics International Corp. (“Sprylogics” or the “Company”) (SPY), a technology provider of local mobile search, semantic search and messaging solutions for consumers and businesses is pleased to announce that it has developed a new app, “Breaking Sports.”

Breaking Sports tracks social media in real-time for significant sports information and events and distributes summarized information through real-time push notifications to consumers. By utilizing advanced artificial intelligence techniques, Breaking Sports can detect events as they happen and as they are announced in social media, determine nature of the events, attribute events to participants, summarize source articles, index the underlying information, provide search of events and articles and send alerts to fantasy players, sport fans and enthusiasts. Read more

Rovi Acquires Content Discovery and Navigation Innovator Fanhattan

roviNovember 3, 2014 – Santa Clara, Calif. — Rovi Corporation, a leading provider of advanced entertainment discovery, data analytics, and monetization solutions, announced today that it has acquired Fanhattan, a venture-backed startup, in an all-cash transaction.  Fanhattan pioneers innovative ways to discover media and entertainment on any screen, from any source, through its cloud-based Fan TV branded products. Read more

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