منابع مشابه
Concept Extraction Applied to the Task of Expert Finding
The Semantic Web uses formal ontologies as a key instrument in order to add structure to the data, but building domain specific ontologies is still a difficult, time consuming and error-prone process since most information is currently available as free-text. Therefore the development of fast and cheap solutions for ontology learning from text is a key factor for the success and large scale ado...
متن کاملBizzilla: A Collaborative Task Management Environment with Expert Finding
Researchers put enormous amounts of time and effort into collaborative tasks, such as writing up research proposals or papers. Typically, for such tasks, collaborators use an ad hoc combination of different tools, from version control software, latex editors, instant messaging and emails, to keep track of the tasks status. Time is inevitably wasted in pooling together the various resources and ...
متن کاملProbabilistic Models for Expert Finding
A common task in many applications is to find persons who are knowledgeable about a given topic (i.e., expert finding). In this paper, we propose and develop a general probabilistic framework for studying expert finding problem and derive two families of generative models (candidate generation models and topic generation models) from the framework. These models subsume most existing language mo...
متن کاملFinding the Right Expert - Discriminative Models for Expert Retrieval
We tackle the problem of expert retrieval in Social Question Answering (SQA) sites. In particular, we consider the task of, given an information need in the form of a question posted in a SQA site, ranking potential experts according to the likelihood that they can answer the question. We propose a discriminative model (DM) that allows to combine different sources of evidence in a single retrie...
متن کاملThread-based Expert Finding
Identifying experts is an important part of search quality in online community sites such as forums. A number of wordbased and structure features have been used for the task of expert finding. In this paper, we focus on hierarchical structures in online community sites: posts, threads and thread structures. Through empirical comparisons on two collections, we show that thread structures can be ...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2016
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2016.070525