13,911 research outputs found
Building a terminology network for search: the KoMoHe project
The paper reports about results on the GESIS-IZ project "Competence Center
Modeling and Treatment of Semantic Heterogeneity" (KoMoHe). KoMoHe supervised a
terminology mapping effort, in which 'cross-concordances' between major
controlled vocabularies were organized, created and managed. In this paper we
describe the establishment and implementation of cross-concordances for search
in a digital library (DL).Comment: 5 pages, 2 figure, Dublin Core Conference 200
Finding co-solvers on Twitter, with a little help from Linked Data
In this paper we propose a method for suggesting potential collaborators for solving innovation challenges online, based on their competence, similarity of interests and social proximity with the user. We rely on Linked Data to derive a measure of semantic relatedness that we use to enrich both user profiles and innovation problems with additional relevant topics, thereby improving the performance of co-solver recommendation. We evaluate this approach against state of the art methods for query enrichment based on the distribution of topics in user profiles, and demonstrate its usefulness in recommending collaborators that are both complementary in competence and compatible with the user. Our experiments are grounded using data from the social networking service Twitter.com
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