We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...
This paper describes hybrid search, a search method supporting both document and knowledge retrieval via the flexible combination of ontologybased search and keyword-based matching...
Ravish Bhagdev, Sam Chapman, Fabio Ciravegna, Vita...
Automated extraction of ontological knowledge from text corpora is a relevant task in Natural Language Processing. In this paper, we focus on the problem of finding hypernyms for ...
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
At the moment, enterprises require complex business models with an organizational structures, processes and systems that must be explicitly designed. The work designed by these bu...
Pedro Bonillo, Nancy Zambrano, Alecia Eleonora Aco...