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A Process for Extracting Non-Taxonomic Relationships of Ontologies from Text

Intelligent Information Management 2011年第4期3卷 119-124页

作者： ivo serra Rosario Girardi 不详

Manual construction of ontologies by domain experts and knowledge engineers is an expensive and time consuming task so, automatic and/or semiautomatic approaches are needed. Ontology learning looks for identifying ontology elements like non-taxonomic relationships from information sources. These relationships correspond to slots in a frame-based ontology. This article proposes an initial process for semiautomatic extraction of non-taxonomic relationships of ontologies from textual sources. It uses Natural Language Processing (NLP) techniques to identify good candidates of non-taxonomic relationships and a data mining technique to suggest their possible best level in the ontology hierarchy. Once the extraction of these relationships is essentially a retrieval task, the metrics of this field like recall, precision and f-measure are used to perform evaluation.

关键词： Ontology Ontology Learning Non-Taxonomic Relationships Natural Language Processing

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Feasibility Study of a Hydro PV Hybrid System Operating at a Dam for Water Supply in Southern Brazil

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Journal of Power and Energy Engineering 2015年第9期3卷 70-83页

作者： Luis E.Teixeira Johan Caux Alexandre Beluco ivo Bertoldo JoséAntonio S.Louzada Ricardo C.Eifler Instituto de Pesquisas Hidráulicas Universidade Federal do Rio Grande do SulPorto AlegreBrazil Ecole Nationale Superieure de l’Energie l’Eau et l’EnvironnementGrenoble INPGrenobleFrance Companhia Riograndense de Saneamento Santa MariaBrazil Companhia Estadual de Energia Elétrica Salto do JacuíBrazil

Dams for water supply usually represent an untapped hydroelectric potential. It is a small energetic potential, in most situations, usually requiring a particular solution to be viable. The use of pumps as power turbines often represents an alternative that enables the power generation in hydraulic structures already in operation, as is the case of dams in water supply systems. This potential can be exploited in conjunction with the implementation of PV modules on the water surface, installed on floating structures, both operating in a hydro PV hybrid system. The floating structure can also contribute to reducing the evaporation of water and providing a small increase in hydroelectric power available. This paper presents a pre-feasibility study for implementation of a hydroelectric power plant and PV modules on floating structures in the reservoir formed by the dam of Val de serra, in southern Brazil. The dam is operated to provide drinking water to about 60% of the population of the city of Santa Maria, in the state of Rio Grande do Sul, in southern Brazil. The pre-feasibility study conducted with Homer software, version Legacy, indicated that the hydroelectric plant with a capacity of 227 kW can operate together with 60 kW of PV modules. This combination will result (in one of the configurations considered) in an initial cost of USD$ 1715.83 per kW installed and a cost of energy of USD$ 0.059/kWh.

关键词： Hydro PV Hybrid System PV Floating Cover Water Supply Dam Software Homer

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