scholarly journals Coincidence-Based Scoring of Mappings in Ontology Alignment

Author(s):  
Seyed H. Haeri (Hossein) ◽  
◽  
Hassan Abolhassani ◽  
Vahed Qazvinian ◽  
Babak Bagheri Hariri

Ontology Matching (OM) which targets finding a set of alignments across two ontologies, is a key enabler for the success of Semantic Web. In this paper, we introduce a new perspective on this problem. By interpreting ontologies as Typed Graphs embedded in a Metric Space,coincidenceof the structures of the two ontologies is formulated. Having such a formulation, we define a mechanism to score mappings. This scoring can then be used to extract a good alignment among a number of candidates. To do this, this paper introduces three approaches: The first one, straightforward and capable of finding the optimum alignment, investigates all possible alignments, but its runtime complexity limits its use to small ontologies only. To overcome this shortcoming, we introduce a second solution as well which employs a Genetic Algorithm (GA) and shows a good effectiveness for some certain test collections. Based on approximative approaches, a third solution is also provided which, for the same purpose, measures random walks in each ontology versus the other.

Author(s):  
Naima El Ghandour ◽  
Moussa Benaissa ◽  
Yahia Lebbah

The Semantic Web uses ontologies to cope with the data heterogeneity problem. However, ontologies become themselves heterogeneous; this heterogeneity may occur at the syntactic, terminological, conceptual, and semantic levels. To solve this problem, alignments between entities of ontologies must be identified. This process is called ontology matching. In this paper, the authors propose a new method to extract alignment with multiple cardinalities using integer linear programming techniques. The authors conducted a series of experiments and compared them with currently used methods. The obtained results show the efficiency of the proposed method.


2021 ◽  
Vol 12 (2) ◽  
pp. 1-17
Author(s):  
Xingsi Xue ◽  
Xiaojing Wu ◽  
Junfeng Chen

Ontology provides a shared vocabulary of a domain by formally representing the meaning of its concepts, the properties they possess, and the relations among them, which is the state-of-the-art knowledge modeling technique. However, the ontologies in the same domain could differ in conceptual modeling and granularity level, which yields the ontology heterogeneity problem. To enable data and knowledge transfer, share, and reuse between two intelligent systems, it is important to bridge the semantic gap between the ontologies through the ontology matching technique. To optimize the ontology alignment’s quality, this article proposes an Interactive Compact Genetic Algorithm (ICGA)-based ontology matching technique, which consists of an automatic ontology matching process based on a Compact Genetic Algorithm (CGA) and a collaborative user validating process based on an argumentation framework. First, CGA is used to automatically match the ontologies, and when it gets stuck in the local optima, the collaborative validation based on the multi-relationship argumentation framework is activated to help CGA jump out of the local optima. In addition, we construct a discrete optimization model to define the ontology matching problem and propose a hybrid similarity measure to calculate two concepts’ similarity value. In the experiment, we test the performance of ICGA with the Ontology Alignment Evaluation Initiative’s interactive track, and the experimental results show that ICGA can effectively determine the ontology alignments with high quality.


2018 ◽  
pp. 13-38
Author(s):  
N. Ceramella

The article considers two versions of D. H. Lawrence’s essay The Theatre: the one which appeared in the English Review in September 1913 and the other one which Lawrence published in his first travel book Twilight in Italy (1916). The latter, considerably revised and expanded, contains a number of new observations and gives a more detailed account of Lawrence’s ideas.Lawrence brings to life the atmosphere inside and outside the theatre in Gargnano, presenting vividly the social structure of this small northern Italian town. He depicts the theatre as a multi-storey stage, combining the interpretation of the plays by Shakespeare, D’Annunzio and Ibsen with psychological portraits of the actors and a presentation of the spectators and their responses to the plays as distinct social groups.Lawrence’s views on the theatre are contextualised by his insights into cinema and its growing popularity.What makes this research original is the fact that it offers a new perspective, aiming to illustrate the social situation inside and outside the theatre whichLawrenceobserved. The author uses the material that has never been published or discussed before such as the handwritten lists of box-holders in Gargnano Theatre, which was offered to Lawrence and his wife Frieda by Mr. Pietro Comboni, and the photographs of the box-panels that decorated the theatre inLawrence’s time.


Author(s):  
Vered Noam

In attempting to characterize Second Temple legends of the Hasmoneans, the concluding chapter identifies several distinct genres: fragments from Aramaic chronicles, priestly temple legends, Pharisaic legends, and theodicean legends explaining the fall of the Hasmonean dynasty. The chapter then examines, by generation, how Josephus on the one hand, and the rabbis on the other, reworked these embedded stories. The Josephan treatment aimed to reduce the hostility of the early traditions toward the Hasmoneans by imposing a contrasting accusatory framework that blames the Pharisees and justifies the Hasmonean ruler. The rabbinic treatment of the last three generations exemplifies the processes of rabbinization and the creation of archetypal figures. With respect to the first generation, the deliberate erasure of Judas Maccabeus’s name from the tradition of Nicanor’s defeat indicates that they chose to celebrate the Hasmonean victory but concealed its protagonists, the Maccabees, simply because no way was found to bring them into the rabbinic camp.


2021 ◽  
pp. 016555152110221
Author(s):  
Tong Wei ◽  
Christophe Roche ◽  
Maria Papadopoulou ◽  
Yangli Jia

Cultural heritage is the legacy of physical artefacts and intangible attributes of a group or society that is inherited from past generations. Terminology is a tool for the dissemination and communication of cultural heritage. The lack of clearly identified terminologies is an obstacle to communication and knowledge sharing. Especially, for experts with different languages, it is difficult to understand what the term refers to only through terms. Our work aims to respond to this issue by implementing practices drawn from the Semantic Web and ISO Terminology standards (ISO 704 and ISO 1087-1) and more particularly, by building in a W3C format ontology as knowledge infrastructure to construct a multilingual terminology e-Dictionary. The Chinese ceramic vases of the Ming and Qing dynasties are the application cases of our work. The method of building ontology is the ‘term-and-characteristic guided method’, which follows the ISO principles of Terminology. The main result of this work is an online terminology e-Dictionary. The terminology e-Dictionary could help archaeologists communicate and understand the concepts denoted by terms in different languages and provide a new perspective based on ontology for the digital protection of cultural heritage. The e-Dictionary was published at http://www.dh.ketrc.com/e-dictionary.html .


Author(s):  
John F. McGrew

This paper discusses a case study of a design and evaluation of a change management system at a large Telecommunications Corporation. The design and evaluation were done using the facilitated genetic algorithm (a parallel design method) and user decision style analysis. During the facilitated genetic algorithm the design team followed the procedure of the genetic algorithm. Usability was evaluated by applying user decision style analysis to the designed system. The design is compared with an existing system and with one designed by an analyst. The change management system designed by the facilitated genetic algorithm took less time to design and decision style analysis indicated it would be easier to use than the other two systems.


2017 ◽  
Vol 10 (01) ◽  
pp. 27-34 ◽  
Author(s):  
K. Katz ◽  
M. Katz ◽  
D. Kerner ◽  
Y. Liokumovich

The space [Formula: see text] of matrices of positive determinant inherits an extrinsic metric space structure from [Formula: see text]. On the other hand, taking the infimum of the lengths of all paths connecting a pair of points in [Formula: see text] gives an intrinsic metric. We prove bi-Lipschitz equivalence between intrinsic and extrinsic metrics on [Formula: see text], exploiting the conical structure of the stratification of the space of [Formula: see text] matrices by rank.


POETICA ◽  
2021 ◽  
Vol 52 (3-4) ◽  
pp. 228-265
Author(s):  
Rafael Simian

Abstract Guigo II is commonly known and praised among specialists of Western mysticism for his Scala claustralium, a work that presents a spiritual program for cloistered monks. His Meditations, on the other hand, have usually been relegated to the margin of attention. The First Meditation, in particular, is generally regarded as a minor piece. The paper argues, however, that a new approach can make better sense of the First Meditation, while also enabling us to recognize its specific function and value. Seen from this new perspective, Guigo’s purpose with the text is to train and exercise his readers’ minds according to the spiritual program laid out in the Scala. The paper shows that the First Meditation realizes that goal, surprisingly, by having the same essential features that Umberto Eco found in the ‘open works’ of the Western avant-garde.


Author(s):  
Asieh Khosravanian ◽  
Mohammad Rahmanimanesh ◽  
Parviz Keshavarzi

The Social Spider Algorithm (SSA) was introduced based on the information-sharing foraging strategy of spiders to solve the continuous optimization problems. SSA was shown to have better performance than the other state-of-the-art meta-heuristic algorithms in terms of best-achieved fitness values, scalability, reliability, and convergence speed. By preserving all strengths and outstanding performance of SSA, we propose a novel algorithm named Discrete Social Spider Algorithm (DSSA), for solving discrete optimization problems by making some modifications to the calculation of distance function, construction of follow position, the movement method, and the fitness function of the original SSA. DSSA is employed to solve the symmetric and asymmetric traveling salesman problems. To prove the effectiveness of DSSA, TSPLIB benchmarks are used, and the results have been compared to the results obtained by six different optimization methods: discrete bat algorithm (IBA), genetic algorithm (GA), an island-based distributed genetic algorithm (IDGA), evolutionary simulated annealing (ESA), discrete imperialist competitive algorithm (DICA) and a discrete firefly algorithm (DFA). The simulation results demonstrate that DSSA outperforms the other techniques. The experimental results show that our method is better than other evolutionary algorithms for solving the TSP problems. DSSA can also be used for any other discrete optimization problem, such as routing problems.


2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Judea Pearl

AbstractNon-manipulable factors, such as gender or race have posed conceptual and practical challenges to causal analysts. On the one hand these factors do have consequences, and on the other hand, they do not fit into the experimentalist conception of causation. This paper addresses this challenge in the context of public debates over the health cost of obesity, and offers a new perspective, based on the theory of Structural Causal Models (SCM).


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