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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Franzoni, V. Milani, A. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Math. & Comput. Sci., Univ. of Perugia, Perugia, Italy (Franzoni, V.; Milani, A.) |
| Abstract | The extraction of semantic contexts is a relevant issue in information retrieval to provide high quality query results. This paper introduces the semantic context underlying a set of given input concepts as defined by the relevant multiple explanation paths connecting the input concepts in a collaborative network. A pheromone-like model based on this approach is introduced for the detection and the extraction of multiple paths of explanation between seed concepts. The exploration of the online collaborative network of explanation uses a heuristic driven random walk, based on semantic proximity measures. Random walks distribute pheromone on the traversed arcs used to evaluate the relevance of concepts in the multiple explanatory paths to be extracted. Experimental results obtained on accepted datasets and contexts extracted from the Wikipedia collaborative network show that the proposed algorithm can extract contexts with high relevance degree, which outperforms other methods. The approach has a general applicability and can be extended to other explanation-based online collaborative networks. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 540 |
| Ending Page | 547 |
| File Size | 852463 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9781467396189 |
| DOI | 10.1109/WI-IAT.2015.21 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-12-06 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context Electronic publishing Heuristic Search Semantics Encyclopedias Collaborative work Internet Semantic context Web Mining Proximity Measures |
| Content Type | Text |
| Resource Type | Article |
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