Abstract:The mathematical nature of description logics has meant that domain experts find them hard to understand. This forms a significant impediment to the creation and adoption of ontologies. This paper describes Rabbit, a Controlled Natural Language that can be translated into OWL with the aim of achieving both comprehension by domain experts and computational preciseness. We see Rabbit as complementary to OWL, extending its reach to those who need to author and understand domain ontologies but for whom descriptions logics are difficult to comprehend even when expressed in more user-friendly forms such as the Manchester Syntax.The paper outlines the main grammatical aspects of Rabbit, which can be broadly classified into declarations, concept descriptions and definitions, and elements to support interoperability between ontologies. The paper also describes the human subject testing that has been performed to date and indicates the changes currently being made to the language following this testing. Further modifications have been based on practical experience of the application of Rabbit for the development of operational ontologies in the domain of topography. Forest -and when I say thinking I mean thinking -you and I must do it." A. A. Milne

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Hydrogeologic data collected from selected wells and test holes in the Nevada Test Site area show that the measured depth to water in the area ranged from 92 to 2,467 feet below land surface. The measured altitude of the groundwater surface ranged from 2,289 to 5,913 feet above sea level. Ground water in the Nevada Test Site area is present in three major types of rocks: Quaternary sediments, Tertiary volcanics, and Paleozoic sedimentary and minor intrusive rocks. The hydrogeologic data were collected from wells and test holes ranging from 261 to 13,686 feet deep. The casing size ranged from 1.2-inch diameter in exploratory holes to 122-inch diameter in emplacement holes. Detailed geologic descriptions, selected borehole geophysical logs, aquifer-test data, and water-quality data for many of the wells and test holes can be obtained from published reports. _ 1 _ Groundwater data presented in this report are limited to selected well and test-hole data collected within the boundaries of NTS, selected data from exploratory holes used by the Nevada Nuclear Waste Storage Investigation program (NNWSI), and data from several holes in other areas adjacent to the NTS. Well and test-hole locations are shown on plate 1. A detailed description of the groundwater hydrology in the area of NTS is presented in Blankennagel and Weir (1973), Waddell (1982), Waddell and others (1984), and Winograd and Thordarson (1975). DATA SOURCE Computerized data bases, published and unpublished reports, and U.S. Geological Survey data files were used to compile the information on the 187 wells and test holes listed in this report. The unpublished reports and files are located in the U.S. Geological Survey offices in Mercury and Las Vegas, Nev., and Denver, Colo. Locations of the wells and test holes were obtained from the Lawrence Livermore National Laboratory (LLNL) data base (Howard, 1976, 1983) and construction data were obtained from Fenix & Scisson, Inc., data files located in Mercury, Nev. Data for several test holes and wells drilled prior to 1960 were obtained from Thordarson and others (1967). Water-level data were compiled from published reports, LLNL data base, and U.S. Geological Survey data files. The LLNL data base contains many water-level measurements that are not representative of the natural groundwater flow system. These nonrepresentative water levels, perhaps, resulted from the techniques used in the construction of the hole. Therefore, they reflect physical conditions in the hole at the time of the measurement, and may not represent the true static water levels in the surrounding rocks. These data have been screened to retain only representative static water levels; however, additional information could cause a reinterpretation of the static water level from field data. Any changes resulting from the reinterpretations will be entered into the GWSI data base. The geologic data were obtained from published reports of the U.S. Geological Survey, Geologic Division, and from a U.S. Geological Survey geologic data base described b...

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In this paper, we present a frame semantic analysis of a small group of Italian verbs expressing visual perception, which constitutes the first stage of a project for developing an Italian FrameNet. Our results show a close correspondence between English and Italian perception-related frames. The main element of novelty in our approach is that the creation and annotation of Lexical Units is grounded in distributional information automatically acquired from a large, dependency-parsed corpus, which is balanced against the annotator's linguistic intuition. We claim that this can help to overcome some of the shortcomings of the classical lexicographic method used to create FrameNet.