In the future, a software will help users better analyze long texts such as the documents for calls for bids, which are often more than one thousand pages long.
Experts at Siemens' global research unit Corporate Technology have developed a search function that enables users to simultaneously look for key words and sections of text in all of the documents of a call for bids, for example, without having to actually open any of the files.
Copyright: Bayerische Staatsbibliothek / H.-R. Schulz
This makes the search very fast so that it only takes a few milliseconds before users can read the search results in the documents. The experts also developed a component that checks to see how requirements have changed compared to previous versions of a specific text.
As reported in the current issue of "Pictures of the Future" magazine, the ultimate goal is to create a semantic software that recognizes interrelationships in order to find relevant information.
Corporate Technology originally developed the software as part of a feasibility study regarding the digitization of all land registers in Germany. A system was required that could record automated information regarding owners, property sizes, outstanding mortgages, and other matters from the land registers of the past 50 years (around 500 million pages of PDF files).
The software had to be able to extract the required information with the help of the respective document structure. The software also had to be able to handle scans of poorly copied typewritten pages or repeatedly corrected documents.
To develop the software for calls for bids in industry, the researchers at CT are cooperating closely with colleagues from the corresponding Siemens businesses. The researchers are using this as a basis for developing characteristic search algorithms that enable users to find all of the information that a document contains about certain topics such as safety or pollution control.
Because calls for bids are repeatedly adjusted during a project, the software then identifies and displays any changes compared to previous versions of the document. In the third step, the software looks for analogies to previous, similar calls for bids so that users can see how certain requirements were evaluated in the past.
The automatic semantic evaluation of large documents for a bid saves time, prevents mistakes, and makes it easier for users to integrate and analyze changes that were made at short notice.
Dr. Norbert Aschenbrenner | Siemens InnovationNews
Superfast fluorescence sets new speed record
27.07.2015 | Duke University
Two crystals are better than one
22.07.2015 | The Agency for Science, Technology and Research (A*STAR)
Researchers have developed an ultrafast light-emitting device that can flip on and off 90 billion times a second and could form the basis of optical computing.
Joint BioEnergy Institute study identifies bacterial protein that is key to protecting rice against bacterial blight
A bacterial signal that when recognized by rice plants enables the plants to resist a devastating blight disease has been identified by a multi-national team...
Researchers in the Cockrell School of Engineering at The University of Texas at Austin are one step closer to delivering smart windows with a new level of energy efficiency, engineering materials that allow windows to reveal light without transferring heat and, conversely, to block light while allowing heat transmission, as described in two new research papers.
By allowing indoor occupants to more precisely control the energy and sunlight passing through a window, the new materials could significantly reduce costs for...
Argonne scientists used Mira to identify and improve a new mechanism for eliminating friction, which fed into the development of a hybrid material that exhibited superlubricity at the macroscale for the first time. Argonne Leadership Computing Facility (ALCF) researchers helped enable the groundbreaking simulations by overcoming a performance bottleneck that doubled the speed of the team's code.
While reviewing the simulation results of a promising new lubricant material, Argonne researcher Sanket Deshmukh stumbled upon a phenomenon that had never been...
A NASA camera on the Deep Space Climate Observatory (DSCOVR) satellite has returned its first view of the entire sunlit side of Earth from one million miles away.
The color images of Earth from NASA's Earth Polychromatic Imaging Camera (EPIC) are generated by combining three separate images to create a...
23.07.2015 | Event News
10.07.2015 | Event News
25.06.2015 | Event News
28.07.2015 | Life Sciences
28.07.2015 | Materials Sciences
28.07.2015 | Ecology, The Environment and Conservation