Dealing with Precise and Imprecise Temporal Data in Crisp Ontology

Author(s):  
Fatma Ghorbel ◽  
Fayçal Hamdi ◽  
Elisabeth Métais

This article proposes a crisp-based approach for representing and reasoning about concepts evolving in time and of their properties in terms of qualitative relations (e.g., “before”) in addition to quantitative ones, time intervals and points. It is not only suitable to handle precise time intervals and points, but also imprecise ones. It extends the 4D-fluents approach with crisp components to represent handed data. It also extends the Allen's interval algebra. This extension allows reasoning about imprecise time intervals. Compared to related work, it is based on crisp set theory. These relations preserve many properties of the original algebra. Their definitions are adapted to allow relating a time interval and a time point, and two time points. All relations can be used for temporal reasoning by means of transitivity tables. Finally, it proposes a crisp ontology that based on the extended Allen's algebra instantiates the 4D-fluents-based representation.

Author(s):  
Nassira Achich ◽  
Fatma Ghorbel ◽  
Fayçal Hamdi ◽  
Elisabeth Métais ◽  
Faiez Gargouri

Temporal data given by Alzheimer's patients are mostly uncertain. Many approaches have been proposed to handle certain temporal data and lack uncertain ones. This paper proposes an approach to represent and reason about quantitative time intervals and points and qualitative relations between them. It is suitable to handle certain and uncertain temporal data. It includes three parts. (1) The authors extend the 4D-fluents approach with certain components to represent certain and uncertain temporal data. (2) They extend the Allen's interval algebra to reason about certain and uncertain time intervals. They adapt these relations to relate a time interval and a time point, and two time points. All relations can be used for temporal reasoning by means of transitivity tables. (3) They propose a certain ontology based on the extensions. A prototype is implemented and integrated into an ontology-based memory prosthesis for Alzheimer's patients to handle uncertain data inputs. The evaluation proves the usefulness of the approach as all the inferences are well established and the precision results are promising.


1998 ◽  
Vol 07 (03) ◽  
pp. 319-339
Author(s):  
X. SEAN WANG ◽  
SUSHIL JAJODIA ◽  
SONA MOHAVNI

In order to support uniform access to heterogeneous temporal information, we introduce the concept of a temporal mediator. A temporal mediator consists of three components: (i) a repository for windowing functions and conversion functions, (ii) a time granularity thesaurus and (iii) a query interpreter. There are two types of windowing functions: one associates each time point to a set of tuples, and the other associates each tuple to a set of time points. A conversion function transforms information in terms of one time granularity into that in terms of another time granularity. The time granularity thesaurus stores the knowledge about time granularities (e.g., names of time granularities and relationships among them). Users pose queries using the windowing functions and in terms of desired time granularities. (A query language, which can be used to form such queries, is given in the paper.) To answer such a user query, the query interpreter first employs the windowing functions together with the time granularity thesaurus to retrieve needed temporal data from the underlying databases and then uses the time granularity thesaurus to select suitable conversion functions which convert the responses to the desired time granularities. Thus, a temporal mediator provides a simple interface that supports uniform accesses to heterogeneous temporal databases.


Author(s):  
Przemysław Andrzej Wałęga

Temporal reasoning constitutes one of the main topics within the field of Artificial Intelligence. Particularly interesting are interval-based methods, in which time intervals are treated as basic ontological objects, in opposite to point-based methods, where time-points are considered as basic. The former approach is more expressive and seems to be more appropriate for such applications as natural language analysis or real time processes verification. My research concerns the classical interval-based logic, namely Halpern-Shoham logic (HS). In particular, my investigation continues recently proposed search for well-behaved - i.e., expressive enough for practical applications and of low computational complexity - HS fragments obtained by imposing syntactical restrictions on the usage of propositional connectives in their languages.


Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 1342-1342
Author(s):  
Michaela Reiterova ◽  
Karolina Kramarzova ◽  
Martina Sukova ◽  
Vit Campr ◽  
Elena Vodickova ◽  
...  

Abstract Abstract 1342 Introduction. Aplastic anemia (AA) and myelodysplastic syndrome (MDS) are rare diseases in childhood. The most common subtype of MDS is refractory cytopenia (RC). Both diseases typically exhibit with overlapping features and in both disorders dysregulation of immune system variably contributes to the degree of bone marrow (BM) failure. In the diagnostic algorithm plays role also analysis of consecutive BM samples by morphology. Patients and methods. Patients diagnosed between 2005 – 2011 with at least two BM samples analyzed by flow cytometry (FC) before treatment has started and with centrally evaluated BM biopsy according to EWOG MDS criteria were included into the study. We compared first and the last available sample before treatment (immunosupression or stem cell transplantation). By FC we analyzed following parameters: cell subsets (granulocytes, monocytes, lymphoid cells, erythroid precursors), BM precursors (CD34pos, CD117pos), T cells (CD3pos, CD3pos4pos, CD3pos8pos, CD3posHLA DRpos out of all cells, HLA DRpos out of CD3pos/CD3pos4pos/CD3pos8pos cells); B cells (CD19pos, CD19pos10pos, CD19pos45dim to neg, CD19pos34posout of all cells, CD10pos and CD20pos10neg out of CD19pos). In total 22 patients with AA (12 girls, 10 boys, mean age 11 years; 1.1–18 years) and 20 patients with RC (11 girls, 9 boys, mean age 11 years; 3.7–18) were included into the study. Median of time interval between both samples was 139 (1–1343) days in RC and 15 (1–56) days in AA. WT1 expression on mRNA level was analyzed in the sample before treatment with the highest number of CD34pos precursors to avoid blood contamination. All patients were screened by FISH for changes on chromosome 7 and 8. We asked following questions: Are there differences in the parameters in both bone marrow samples between SAA and RC? Is there any different pattern between d0 and before therapy sample between AA and RC? Are there any differences in WT1 expression between AA and RC group? Results. RC and AA significantly differ in both time points. AA patients have significantly decreased precursors (CD34, CD117); the difference is more pronounced at the later time point. More lymphocytes (both B and T) and less granulocytes are present at later time point in AA patients (p<0.05, Mann-Whitney test). Activation of CD8 cytotoxic T cells according to HLA DR expression is more distinct in AA patients at later time point. The most significant different parameter between RC and AA is a ratio CD19/CD34 also with the significant trend between two time points (Two way ANOVA, p<0.05). WT1 expression is statistically higher in RC patients; the higher expression is associated with presence of monosomy 7. Conclusion. By FC statistical differences can be identified in both samples (d0 and before treatment) between RC and AA. More pronounced differences are at later time point, which can be explained by further destruction of precursor and myeloid compartment more pronounced in AA patients compared to RC. WT1 expression is typically high in patients with RC and monosomy 7. Disclosures: No relevant conflicts of interest to declare.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Ching-Yuan Cheng ◽  
Kwo-Whei Lee ◽  
Chiang-Hsuan Lee ◽  
Yeu-Sheng Tyan ◽  
Cheng-Yi Cheng ◽  
...  

Objective. To calculate the time sensitivity factor (S) for discriminating the solitary pulmonary nodule (SPN) by FDG PET at different time points.Methods. The multiple time-point FDG PET images from 41 patients for evaluating SPN seen on chest X-ray or CT were prospectively analyzed to calculate and evaluateSagainst the gold standard of tissue histology (n=38) or long term clinicoradiographic follow-up (n=3). The maximal standardized uptake values (SUV) at the 3 hourly time points were measured. TheSwas calculated usingS=d{ln⁡(SUV)}/d{ln⁡(t)}at 3 different time intervals. ROC analysis of theSparameters was performed to evaluate the optimal cut-off value and their accuracy in classifying the SPN.Results. The SUV in malignant SPN was higher than the corresponding value in benign lesions at all 3 hourly time points (P<0.003). TheSparameters using 3 different time intervals all significantly separated the two groups (P<0.0005) with an optimal cut-off point near the theoretical value of zero with a high sensitivity of 100% and specificity of 86%.Conclusion. TheScan be calculated for SPNs using multiple time-point FDG PET, providing a tumor characteristic metabolic parameter with high discrimination power using a simple positive value representing malignancy.


1963 ◽  
Vol 44 (3) ◽  
pp. 475-480 ◽  
Author(s):  
R. Grinberg

ABSTRACT Radiologically thyroidectomized female Swiss mice were injected intraperitoneally with 131I-labeled thyroxine (T4*), and were studied at time intervals of 30 minutes and 4, 28, 48 and 72 hours after injection, 10 mice for each time interval. The organs of the central nervous system and the pituitary glands were chromatographed, and likewise serum from the same animal. The chromatographic studies revealed a compound with the same mobility as 131I-labeled triiodothyronine in the organs of the CNS and in the pituitary gland, but this compound was not present in the serum. In most of the chromatographic studies, the peaks for I, T4 and T3 coincided with those for the standards. In several instances, however, such an exact coincidence was lacking. A tentative explanation for the presence of T3* in the pituitary gland following the injection of T4* is a deiodinating system in the pituitary gland or else the capacity of the pituitary gland to concentrate T3* formed in other organs. The presence of T3* is apparently a characteristic of most of the CNS (brain, midbrain, medulla and spinal cord); but in the case of the optic nerve, the compound is not present under the conditions of this study.


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