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SEMANTIC NETS ARE IN THE EYE OF THE BEHOLDER [chapter]

Lenhart K. Schubert
1991 Principles of Semantic Networks  
This terminological problem is not due to lack of substance or coherence of work done under the semantic net banner, Rather, it is due to convergence of the major KR schemes: the representational and computational  ...  The term "semantic nets", in its broadest sense, has become virtually meaningless.  ...  A good deal of effort is being devoted in AI and in linguistic semantics to this profound semantic puzzle; if and when this effort succeeds, we will also know what the correct net/logic mapping for default  ... 
doi:10.1016/b978-1-4832-0771-1.50008-4 fatcat:dcb4ratdhbabpnm5z5agbmvfmm

The Form in Formal Thought Disorder: A Model of Dyssyntax in Semantic Networking

Farshad Badie, Luis M. Augusto
2022 AI  
We present a logic-based model for the syntax–semantics interface in semantic networking that can not only explain, but also diagnose, FTD.  ...  More specifically, we show how faulty logical form as defined in DL-based Conception Language (CL) impacts the semantic content of linguistic productions that are characteristic of FTD.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ai3020022 fatcat:kzcl6w5affaa5lehmzqfsvzyja

Automated Assignment of Helpdesk Email Tickets: An AI Lifecycle Case Study

Shivali Agarwal, Jayachandu Bandlamudi, Atri Mandal, Anupama Ray, Giriprasad Sridhara
2020 The AI Magazine  
While meeting this objective, it should also meet the objective of being able to operate at desired accuracy levels in the face of changing business needs by automatically adapting to the changes.  ...  The primary objective of the system is to determine the problem mentioned in an incoming email ticket and then automatically dispatch it to an appropriate resolver group with high accuracy.  ...  First, for most big companies the number of resolver groups is quite large -of the order of 500, in some cases.  ... 
doi:10.1609/aimag.v41i3.5321 fatcat:dzsomjuvkbearkxq7hsdrkhq2u

Terminology: New needs, new perspectives

Anne Condamines
1995 Terminology  
Thanks to the results of natural-language processing (NLP) and knowledge acquisition and representation in artificial intelligence (AI), new possibilities for integrating terminological data are coming  ...  By developing the notion of "deviance " (deviant behaviour of the terminological system in comparison with the expected behaviour of the lexical system), the article presents a first linguistically based  ...  on the evaluation of the reasoning process, -in many cases (if not all ), these networks constitute knowledge bases which should be linked to NLP systems such as the ones mentioned in section 4-1.  ... 
doi:10.1075/term.2.2.03con fatcat:qvyb2wyzcbavdkgn4coxqz522u

Enforcing security in semantics driven policy based networks

Palanivel Kodeswaran, Sethuram Balaji Kodeswaran, Anupam Joshi, Tim Finin
2008 2008 IEEE 24th International Conference on Data Engineering Workshop  
We propose an extensible framework that takes the semantics of the collaboration into account and uses semantics driven policies for enforcing security.  ...  We describe our policy based network that exploits packet content semantics to secure enterprise networks and the BGP routing process.  ...  Semantics driven policy based network In this section, we present our policy based network built on top of the semantic tagging architecture.  ... 
doi:10.1109/icdew.2008.4498365 dblp:conf/icde/KodeswaranKJF08 fatcat:2brc6v3e25bdbifsggtg2k2vly

Enforcing security in semantics driven policy based networks

Palanivel Kodeswaran, Sethuram Balaji Kodeswaran, Anupam Joshi, Tim Finin
2011 Computer Standards & Interfaces  
We propose an extensible framework that takes the semantics of the collaboration into account and uses semantics driven policies for enforcing security.  ...  We describe our policy based network that exploits packet content semantics to secure enterprise networks and the BGP routing process.  ...  Semantics driven policy based network In this section, we present our policy based network built on top of the semantic tagging architecture.  ... 
doi:10.1016/j.csi.2010.03.010 fatcat:sb7rpsdv4rglnf6g5awgqmuvuu

Representing and locating deduction rules in a semantic network

Stuart C. Shapiro
1977 ACM SIGART Bulletin  
As soon as the appropriate number of them are found (1 in the case. of ~, i in the case of nat , n-i to be false in the case of neiJ), the consequent is deduced.  ...  In SNAPS semantic networks i13], we distinguish three kinds of arcs: descendinE, ascendinE and auxiliary.  ...  Semantic Network Representations in Rule-Based Inference Systems Richard O. Duda, Peter E. Hart, Ntis J. Nilsson, and Georgia L.  ... 
doi:10.1145/1045343.1045350 fatcat:xljbm5ktjbdczjcvpgjvuhdi7u

To see or not to see: concept visualization in terminological knowledge bases

Juan Antonio Prieto Velasco
2009 International Conference on Terminology and Artificial Intelligence  
The cognitive shift in Terminology has affected the way lexicographers and terminologists understand and describe specialized language, promoting the inclusion of semiotic alternatives to depict knowledge  ...  Such representations and descriptions are then crucial in terminological knowledge bases, where different media coexist to enhance the multidimensional character of concepts.  ...  So far, Terminology and AI have underestimated the importance of images.  ... 
dblp:conf/tia/Velasco09 fatcat:pujfi7tgfzhnldkfng4l5ujp2u

Creation and Enrichment of a Terminological Knowledge Graph in the Legal Domain [article]

Patricia Martín Chozas
2020 Zenodo  
standards for the Semantic Web.  ...  Domain-specific terminologies are of great use in a number of contexts, such as information retrieval from text documents or supporting humans in translation tasks.  ...  Due to the lack of legal terminological resources in the web in general and in the Semantic Web in particular, we have applied this approach to the legal field, but we propose a domain independent methodology  ... 
doi:10.5281/zenodo.3898215 fatcat:ij4xyhwexzfylb5zeencyv6bti

Federating Queries in SPARQL1.1: Syntax, Semantics and Evaluation

Carlos Buil-Aranda, Marcelo Arenas, Oscar Corcho, Axel Polleres
2013 Social Science Research Network  
In this paper, we describe the syntax of that extension and formalize its semantics.  ...  Recent years have witnessed a large and constant growth in the amount of RDF data available on the Web, exposed by means of Linked Data-enabled dereferenceable URIs in various formats (such as RDF/XML,  ...  Carlos Buil-Aranda was also supported by the School of Engineering at Pontificia Universidad Cato´lica de Chile.  ... 
doi:10.2139/ssrn.3198993 fatcat:uuqzzq6tnbh5tkbbalpkzlh6bi

TEST: A Terminology Extraction System for Technology Related Terms [article]

Murhaf Hossari, Soumyabrata Dev, John D. Kelleher
2019 arXiv   pre-print
The extracted new terms can be logged as new AI technologies as they are found on-the-fly in the web. It can be subsequently classified into the relevant semantic labels and AI domains.  ...  Tracking developments in the highly dynamic data-technology landscape are vital to keeping up with novel technologies and tools, in the various areas of Artificial Intelligence (AI).  ...  The sentence containing technology term are highlighted in green colour. The extracted words are also colour-coded in terms of their semantics.  ... 
arXiv:1812.09541v2 fatcat:qniseuaoi5gqdbpvwyekydhi7y

Defying Wikidata: Validation of Terminological Relations in the Web of Data

Patricia Martín Chozas, Sina Ahmadi, Elena Montiel Ponsoda
2020 Zenodo  
The final aim is to generate a set of sound and reliable terminological resources in RDF to contribute to the population of the Linguistic Linked Open Data cloud.  ...  The validation process is supported by a second knowledge base specialised in linguistic data; in this case, CONCEPTNET.  ...  BabelNet is one of the resources that exploits the linked version of WordNet; in combination with Wikipedia it conforms a multilingual semantic network of encyclopedic and language content that covers  ... 
doi:10.5281/zenodo.3898219 fatcat:e7faabqpyfe45f7ewrmubjm4m4

Creation and Enrichment of a Terminological Knowledge Graph in the Legal Domain [article]

Patricia Martín-Chozas
2020 Zenodo  
for the Semantic Web.  ...  The expected result of this methodology is a Terminological Knowledge Graph that can be exploited by different Natural Language Processing applications.  ...  Due to the lack of legal terminological resources in the web in general and in the Semantic Web in particular, we have applied this approach to the legal field, but we propose a domain independent methodology  ... 
doi:10.5281/zenodo.3596632 fatcat:qmmusmmbvvhhtncf5gq6y4oxgq

Semantic-based resource discovery, composition and substitution in IEEE 802.11 mobile ad hoc networks

Michele Ruta, Giammarco Zacheo, Luigi Alfredo Grieco, Tommaso Di Noia, Gennaro Boggia, Eufemia Tinelli, Pietro Camarda, Eugenio Di Sciascio
2009 Wireless networks  
Key points of the proposed approach are: (1) reuse of discovery information at network layer in order to build a fully unified semantic-based discovery and routing framework; (2) use of semantic annotation  ...  In particular, the impact of the number of available services and active clients has been investigated in various mobility conditions and for several service covering threshold levels.  ...  In other words, if AI i is the available information for mr i and if we want to substitute the same mr i , the new AI i+1 = AI i E sub j has to be determined.  ... 
doi:10.1007/s11276-009-0199-5 fatcat:ky4izp2qjrdr5mvzcoeu7foma4

A mathematical theory of semantic development in deep neural networks [article]

Andrew M. Saxe, James L. McClelland, Surya Ganguli
2018 arXiv   pre-print
We address this question by mathematically analyzing the nonlinear dynamics of learning in deep linear networks.  ...  of semantic processing, changing patterns of inductive projection over development, and the conservation of semantic similarity in neural representations across species.  ...  The network, defined by the weight matrices W 1 , W 2 in the case of the deep network (or W s in the case of the shallow network), computes its output asŷ = W 2 W 1 x [ S1 ] (orŷ = W s x for the shallow  ... 
arXiv:1810.10531v1 fatcat:d7xetpuwjbhyro5v3e2v5y6c7y
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