Formal Language Decomposition into Semantic Primes

Fähndrich, Johannes; Ahrndt, Sebastian; Albayrak, Şahin

doi:10.14201/adcaij2014385673

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…However, if not this particular theory, then any other framework that would use primitive semantic carriers of meaning might prove successful. The work of the members of the so-called Moscow School of Semantics (see Apresjan 1992Apresjan , 2000 Mel'čuk 1981) was based on similar principles and has already received attention in practical applications within the field of IT (see Fähndrich 2014 et al). Nonetheless, the outline presented in this paper may become fruitful considering the claims of the major proponents of NSM theory, which is "arguably approaching the standard expectations of a formalized metalanguage for natural language" (Goddard 2006: 544).…”

Section: Discussionmentioning

confidence: 99%

Contronymy and Semantic Primes

Dziedziul¹

2018

Crossroads

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Contronymy, that is sense opposition invoked by one word, can pose a serious conundrum from a theoretical standpoint. Nonetheless, the prime concern of this paper is to introduce the phenomenon into a broader discussion within theoretical linguistics. To be more specific, the question at hand is: what kind of comprehensive and coherent theoretical construct can be adequate for semantic representation of contronymy? It will be demonstrated that the particular sense opposition can be classified as being linked with direct negation. A theoretical vantage point will be presented that addresses the cause of opposition via the means of the natural semantic metalanguage theory. This approach may shed some light on how to deal with the problem from a cognitive perspective. The underlying methodological assumptions of the presented framework, based on the idea of semantic primes, prove to be a coherent tool for encapsulating radical sense opposition manifested by contronyms. As an addendum to this prolegomena there will also be presented a brief discussion of some of the implications of contronymy for fields such as the theory of the human mind, natural language processing, artificial intelligence, machine translations and big data structures.

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Section: Discussionmentioning

confidence: 99%

Contronymy and Semantic Primes

Dziedziul¹

2018

Crossroads

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“…This leads to a semantic network representation (Ontology) of its denotation that represents the connectionist knowledge representation of meaning. Such a decomposition is done until semantic primes are reached, which need no further decomposition [65]. One challenge here is to select the right definitions of the word 14 from the utilised datasources to be used in the decomposition.…”

Section: A Research Challengesmentioning

confidence: 99%

Position Papers of the 2015 Federated Conference on Computer Science and Information Systems

Shulyma

Davidsson²,

Shendryk

et al. 2015

Annals of Computer Science and Information Systems

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EAR Reader, it is our pleasure to present to you Position Papers of the 2015 Federated Conference on Computer Science and Information Systems (FedCSIS), which took place in Łódź, Poland, on September 13-16, 2015. This is the third year when position papers have been introduced as a separate category of contributions. They represent emerging research papers and challenge papers. The former present preliminary research results from work-in-progress based on sound scientific approach but presenting work not completely validated as yet. The latter propose and describe research challenges in theory or practice of computer science and information systems. viii HE AAIA'15 will bring researchers, developers, practitioners, and users to present their latest research, results, and ideas in all areas of artificial intelligence. We hope that theory and successful applications presented at the AAIA'15 will be of interest to researchers and practitioners who want to know about both theoretical advances and latest applied developments in Artificial Intelligence. As such AAIA'15 will provide a forum for the exchange of ideas between theoreticians and practitioners to address the important issues. DT TOPICS Papers related to theories, methodologies, and applications in science and technology in this theme are especially solicited. Topics covering industrial issues/applications and academic research are included, but not limited to: Real-world Applications of Intelligent Systems• Rough Sets PROFESSOR ZDZISLAW PAWLAK BEST PAPER AWARDS We are proud to announce that we will continue the tradition started during the AAIA'06 Symposium and award two "Professor Zdzislaw Pawlak Best Paper Awards" for contributions which are outstanding in their scientific quality. The two award categories are:• Best Student Paper -for graduate or PhD students. Papers qualifying for this award must be marked as "Student full paper" to be eligible for consideration.• Best Paper Award for the authors of the best paper appearing at the Symposium. Candidates for the awards can come from AAiA and all workshops organized within its framework (i.e. AIMaViG, AIMA, ASIR, CEIM, LQMR, WCO).In addition to a certificate, each award carries a prize of 300 EUR provided by the Mazowsze Chapter of the Polish Information Processing Society.IFSA AWARD FOR YOUNG SCIENTIST During the Advances in Artificial Intelligence and Applications (AAIA) Symposium, the International Fuzzy Systems Association (IFSA) Best Paper Award for Young Scientist, will be presented.Candidates for the awards can come from AAiA and all workshops organized within its framework (i.e. AIMaViG, AIMA, ASIR, CEIM, LQMR, WCO). Abstract-Difficulties have been associated with accurately diagnosing patients with thyroid dysfunction (PTD); however, measuring thyroid hormone levels in all individuals is challenging. We successfully constructed a prediction model for PTD by adopting pattern recognition methods using a combination of six routine laboratory tests, and identified 21 new PTD using our screening meth...

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Proposing to Use Artificial Neural Networks for NoSQL Attack Detection

Alizadehsani

2020

Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference

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Relationships databases have enjoyed a certain boom in software worlds until now. These days, with the rise of modern applications, unstructured data production, traditional databases do not completely meet the needs of all systems. Regarding these issues, NOSQL databases have been developed and are a good alternative. But security aspects stay behind. Injection attacks are the most serious class of web attacks that are not taken seriously in NoSQL.This paper presents a Neural Network model approach for NoSQL injection. This method attempts to use the best and most effective features to identify an injection. The features used are divided into two categories, the first one based on the content of the request, and the second one independent of the request meta parameters. In order to detect attack payloads features, we work on character level analysis to obtain malicious rate of user inputs. The results demonstrate that our model has detected more attack payloads compare with models that work black list approach in keyword level. Keywords: Security Á Attack detection Á NoSQL injection Á Big data Á Feature extraction Á Deep learning Á Artificial neural network

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Formal Language Decomposition into Semantic Primes

Cited by 4 publications

References 19 publications

Contronymy and Semantic Primes

Contronymy and Semantic Primes

Position Papers of the 2015 Federated Conference on Computer Science and Information Systems

Proposing to Use Artificial Neural Networks for NoSQL Attack Detection

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