290 research outputs found

    TOQL: Temporal Ontology Querying Language

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    TEMPOS: A Platform for Developing Temporal Applications on Top of Object DBMS

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    This paper presents TEMPOS: a set of models and languages supporting the manipulation of temporal data on top of object DBMS. The proposed models exploit object-oriented technology to meet some important, yet traditionally neglected design criteria related to legacy code migration and representation independence. Two complementary ways for accessing temporal data are offered: a query language and a visual browser. The query language, namely TempOQL, is an extension of OQL supporting the manipulation of histories regardless of their representations, through fully composable functional operators. The visual browser offers operators that facilitate several time-related interactive navigation tasks, such as studying a snapshot of a collection of objects at a given instant, or detecting and examining changes within temporal attributes and relationships. TEMPOS models and languages have been formalized both at the syntactical and the semantical level and have been implemented on top of an object DBMS. The suitability of the proposals with regard to applications' requirements has been validated through concrete case studies

    Quality of life in adult orthodontic patients

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    OBJECTIVE: To examine Teen Oral Health-related Quality of Life (TOQL) for use in adults receiving orthodontic treatment and assess validity and reliability by age-group. METHODS: Teenagers ages 10-18 years and adults 18 years and over completed surveys at the Orthodontic Clinic at Boston University. The survey consisted of sociodemographic information, dental behavior questions, and the TOQL instrument. (Wright, Spiro, Jones, & Rich, n.d.) Malocclusion severity was assessed using the Index of Orthodontic Treatment Need (IOTN). RESULTS: 161 teens and 146 adults participated; teens had a mean age of 13 years and adults 32 years. Subjects represented both genders and diverse racial and ethnic backgrounds. In general, scores overall and by domains were higher for adults than for teens, signifying a greater effect on the quality of life. Mean TOQL scores were worse (17.55) in adults than in teens (11.92, p<0.01); emotional and social domains scores were higher for adults (p<0.001).Construct validity was supported by strong association of TOQL scores with self-reported oral health (p<0.0001). Cronbach’s alpha was higher in adults (0.75 in adults compared to 0.68 in teens) and for all the domains. CONCLUSION: Adults who come for orthodontic treatment report that they are more affected by their malocclusion as compared to teens. Total TOQL score and the emotional and social domains are significantly higher for adults than teens. The project suggests that TOQL is a valid and reliable way to measure impact of malocclusion in quality of life in both adults and teens

    Business Outlook, Vol. 14, No. 3, Spring 1998

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    Data warehouses-TOLAP-decision making

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    Data warehouses (DWH) have been established as the core of decision support systems. On top of a DWH, different applications can be realised with regard to conventional reporting. On line Analytical Processing (OLAP) has reached the maturity as an interactive and explorative way of analysing DWH data. However DWH are mostly organised as snapshot databases. For this reason important tasks like "how many times have products of a specific brand been sold in the "past?" cannot be answered successfully - in order to control the success of reshuffling the product range it is necessary to compare the sales of "old" and "new" products. The same applies in cases where the seasonality aspect for a particular range of products has to be answered. On the other hand, temporal databases allow a valid time to be assigned to data. In this manner, a past state can be reconstructed during retrieval. In this paper, we address the integration of DWH and OLAP with temporal database semantics

    Use of a CAEN digitiser for nuclear safeguards and security applications with a scintillator detector

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    The performance of a CAEN DT5751 digitiser for nuclear safeguards and security applications is discussed. The pulse shape processing firmware embedded in the digitiser was tested with a EJ-309 liquid scintillator, exposed to gamma and neutron radiation from radioactive sources and from a Van de Graaff and cyclotron-based accelerator. Software modules were developed for data acquisition and online analysis, and for more advanced off-line processing of data acquired in list mode. The potential use of a scintillator coupled to the digitiser for the detection of both gamma-rays and neutrons has been demonstrated.JRC.D.4-Standards for Nuclear Safety, Security and Safeguard

    An extension of ontology based databases to handle preferences

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    1th International Conference on Enterprise Information Systems; Milan; Italy; 6 May 2009 through 10 May 2009Ontologies have been defined to make explicit the semantics of data. With the emergence of the SemanticWeb, the amount of ontological data (or instances) available has increased. To manage such data, Ontology Based DataBases (OBDBs), that store ontologies and their instance data in the same repository have been proposed. These databases are associated with exploitation languages supporting description, querying, etc. on both ontologies and data. However, usually queries return a big amount of data that may be sorted in order to find the relevant ones. Moreover, in the current, few approaches considering user preferences when querying have been developed. Yet this problem is fundamental for many applications especially in the e-commerce domain. In this paper, we first propose an extension of an existing OBDB, called OntoDB through extension of their ontology model in order to support semantic description of preferences. Secondly, an extension of an ontology based query language, called OntoQL defined on OntoDB for querying ontological data with preferences is presented. Finally, an implementation of the proposed extensions are described

    Using neural networks and Dyna algorithm for integrated planning, reacting and learning in systems

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    The traditional AI answer to the decision making problem for a robot is planning. However, planning is usually CPU-time consuming, depending on the availability and accuracy of a world model. The Dyna system generally described in earlier work, uses trial and error to learn a world model which is simultaneously used to plan reactions resulting in optimal action sequences. It is an attempt to integrate planning, reactive, and learning systems. The architecture of Dyna is presented. The different blocks are described. There are three main components of the system. The first is the world model used by the robot for internal world representation. The input of the world model is the current state and the action taken in the current state. The output is the corresponding reward and resulting state. The second module in the system is the policy. The policy observes the current state and outputs the action to be executed by the robot. At the beginning of program execution, the policy is stochastic and through learning progressively becomes deterministic. The policy decides upon an action according to the output of an evaluation function, which is the third module of the system. The evaluation function takes the following as input: the current state of the system, the action taken in that state, the resulting state, and a reward generated by the world which is proportional to the current distance from the goal state. Originally, the work proposed was as follows: (1) to implement a simple 2-D world where a 'robot' is navigating around obstacles, to learn the path to a goal, by using lookup tables; (2) to substitute the world model and Q estimate function Q by neural networks; and (3) to apply the algorithm to a more complex world where the use of a neural network would be fully justified. In this paper, the system design and achieved results will be described. First we implement the world model with a neural network and leave Q implemented as a look up table. Next, we use a lookup table for the world model and implement the Q function with a neural net. Time limitations prevented the combination of these two approaches. The final section discusses the results and gives clues for future work

    The Art World's Concept of Negative Space Applied to System Safety Management

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    Tools from several different disciplines can improve system safety management. This paper relates the Art World with our system safety world, showing useful art schools of thought applied to system safety management, developing an art theory-system safety bridge. This bridge is then used to demonstrate relations with risk management, the legal system, personnel management and basic management (establishing priorities). One goal of this presentation/paper is simply to be a fun diversion from the many technical topics presented during the conference
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