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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Collaborative Knowledge Acquisition and Explorationin Technology Search

Stange, Dominic, Nürnberger, Andreas, Heyn, Holger 26 October 2015 (has links) (PDF)
This article is about technology search as an example of a knowledge acquisition task in industry. Technology search is about finding technology related information in structured as well as unstructured sources. This information is needed to support optimal decision making in business processes. There are new opptortunities for technology search and challenges that need to be addressed. This article outlines some of these challenges and presents two concepts to address them in a search system.
2

Collaborative Knowledge Acquisition and Explorationin Technology Search

Stange, Dominic, Nürnberger, Andreas, Heyn, Holger January 2015 (has links)
This article is about technology search as an example of a knowledge acquisition task in industry. Technology search is about finding technology related information in structured as well as unstructured sources. This information is needed to support optimal decision making in business processes. There are new opptortunities for technology search and challenges that need to be addressed. This article outlines some of these challenges and presents two concepts to address them in a search system.
3

OpenResearch: collaborative management of scholarly communication metadate

Vahdati, Sahar, Arndt, Natanael, Auer, Sören, Lange, Christoph 01 August 2017 (has links)
Scholars often need to search for matching, high-profile sci-entific events to publish their research results. Information about topical focus and quality of events is not made suÿciently explicit in the existing communication channels where events are announced. Therefore, schol-ars have to spend a lot of time on reading and assessing calls for papers but might still not find the right event. Additionally, events might be overlooked because of the large number of events announced every day. We introduce OpenResearch, a crowd sourcing platform that supports researchers in collecting, organizing, sharing and disseminating informa-tion about scientific events in a structured way. It enables quality-related queries over a multidisciplinary collection of events according to a broad range of criteria such as acceptance rate, sustainability of event series, and reputation of people and organizations. Events are represented in di˙erent views using map extensions, calendar and time-line visualiz-ations. We have systematically evaluated the timeliness, usability and performance of OpenResearch.

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