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Universal Networking Language
{{Advert, date=April 2021 Universal Networking Language (UNL) is a declarative formal language specifically designed to represent semantic data extracted from natural language texts. It can be used as a pivot language in interlingual machine translation systems or as a knowledge representation language in information retrieval applications. Structure In UNL, the information conveyed by the natural language is represented sentence by sentence as a hypergraph composed of a set of directed binary labeled links between nodes or hypernodes. As an example, the English sentence "The sky was blue?!" can be represented in UNL as follows: In the example above, sky(icl>natural world) and blue(icl>color), which represent individual concepts, are UW's attributes of an object directed to linking the semantic relation between the two UWs; "@def", "@interrogative", "@past", "@exclamation" and "@entry" are attributes modifying UWs. UWs are expressed in natural language to be humanly readab ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Formal Language
In logic, mathematics, computer science, and linguistics, a formal language is a set of strings whose symbols are taken from a set called "alphabet". The alphabet of a formal language consists of symbols that concatenate into strings (also called "words"). Words that belong to a particular formal language are sometimes called ''well-formed words''. A formal language is often defined by means of a formal grammar such as a regular grammar or context-free grammar. In computer science, formal languages are used, among others, as the basis for defining the grammar of programming languages and formalized versions of subsets of natural languages, in which the words of the language represent concepts that are associated with meanings or semantics. In computational complexity theory, decision problems are typically defined as formal languages, and complexity classes are defined as the sets of the formal languages that can be parsed by machines with limited computational power. In ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Institute For Advanced Study
The Institute for Advanced Study (IAS) is an independent center for theoretical research and intellectual inquiry located in Princeton, New Jersey. It has served as the academic home of internationally preeminent scholars, including Albert Einstein, J. Robert Oppenheimer, Emmy Noether, Hermann Weyl, John von Neumann, Michael Walzer, Clifford Geertz and Kurt Gödel, many of whom had emigrated from Europe to the United States. It was founded in 1930 by American educator Abraham Flexner, together with philanthropists Louis Bamberger and Caroline Bamberger Fuld. Despite collaborative ties and neighboring geographic location, the institute, being independent, has "no formal links" with Princeton University. The institute does not charge tuition or fees. Flexner's guiding principle in founding the institute was the pursuit of knowledge for its own sake.Jogalekar. The faculty have no classes to teach. There are no degree programs or experimental facilities at the institute. Research ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Computational Linguistics
Computational linguistics is an interdisciplinary field concerned with the computational modelling of natural language, as well as the study of appropriate computational approaches to linguistic questions. In general, computational linguistics draws upon linguistics, computer science, artificial intelligence, mathematics, logic, philosophy, cognitive science, cognitive psychology, psycholinguistics, anthropology and neuroscience, among others. Computational linguistics is closely related to mathematical linguistics. Origins The field overlapped with artificial intelligence since the efforts in the United States in the 1950s to use computers to automatically translate texts from foreign languages, particularly Russian scientific journals, into English. Since rule-based approaches were able to make arithmetic (systematic) calculations much faster and more accurately than humans, it was expected that lexicon, morphology, syntax and semantics can be learned using explicit rules, a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Knowledge Representation Languages
In computer science and artificial intelligence, ontology languages are formal languages used to construct ontology (information science), ontologies. They allow the Knowledge representation and reasoning, encoding of knowledge about specific Field of study, domains and often include inference rule, reasoning rules that support the processing of that knowledge. Ontology languages are usually declarative languages, are almost always generalizations of frame languages, and are commonly based on either first-order logic or on description logic. Classification of ontology languages Classification by syntax Traditional syntax ontology languages * Common Logic - and its dialects * CycL * DOGMA (Developing Ontology-Grounded Methods and Applications) * F-Logic (Frame Logic) * FO-dot (First-order logic extended with types, arithmetic, aggregates and inductive definitions) * Knowledge_Interchange_Format, KIF (Knowledge Interchange Format) ** Ontolingua based on KIF * KL-ONE * KM programmin ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Abstract Meaning Representation
Abstract Meaning Representation (AMR) is a semantic representation language. AMR graphs are rooted, labeled, directed, acyclic graphs ( DAGs), comprising whole sentences. They are intended to abstract away from syntactic representations, in the sense that sentences which are similar in meaning should be assigned the same AMR, even if they are not identically worded. By nature, the AMR language is biased towards English – it is not meant to function as an international auxiliary language. Abstract Meaning Representations have originally been introduced by Langkilde and Knight (1998) as a derivation from the Penman Sentence Plan Language, they are thus continuing a long tradition in Natural Language Generation and this has been their original domain of application. AMRs have re-gained attention since Banarescu et al. (2013), in particular, this includes the extension to novel tasks such as machine translation and natural language understanding. The modern (post-2010) AMR format p ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Semantic Unification
Semantic unification is the process of unifying lexically different concept representations that are judged to have the same semantic content (i.e., meaning). In business processes, the conceptual semantic unification is defined as "the mapping of two expressions onto an expression in an exchange format which is equivalent to the given expression". Semantic unification has since been applied to the fields of business processes and workflow management. In the early 1990s Charles Petri at Stanford University introduced the term "semantic unification" for business models, later references could be found in and later formalized in Fawsy Bendeck's dissertation. Petri introduced the term 'pragmatic semantic unification" to refer to the approaches in which the results are tested against a running application using the semantic mappings. In this pragmatic approach, the accuracy of the mapping is not as important as its usability. In general, semantic unification as used in business ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Semantic Translation
Semantic translation is the process of using semantic information to aid in the translation of data in one representation or data model to another representation or data model. Semantic translation takes advantage of semantics that associate meaning with individual data elements in one dictionary to create an equivalent meaning in a second system. An example of semantic translation is the conversion of XML data from one data model to a second data model using formal ontologies for each system such as the Web Ontology Language (OWL). This is frequently required by intelligent agents that wish to perform searches on remote computer systems that use different data models to store their data elements. The process of allowing a single user to search multiple systems with a single search request is also known as federated search. Semantic translation should be differentiated from data mapping tools that do simple one-to-one translation of data from one system to another without actu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Abstract Semantic Graph
In computer science, an abstract semantic graph (ASG) or term graph is a form of abstract syntax in which an expression of a formal or programming language is represented by a graph whose vertices are the expression's subterms. An ASG is at a higher level of abstraction than an abstract syntax tree (or AST), which is used to express the syntactic structure of an expression or program. ASGs are more complex and concise than ASTs because they may contain shared subterms (also known as "common subexpressions"). Abstract semantic graphs are often used as an intermediate representation by compilers to store the results of performing common subexpression elimination upon abstract syntax trees. ASTs are trees and are thus incapable of representing shared terms. ASGs are usually directed acyclic graphs (DAG), although in some applications graphs containing cycles may be permitted. For example, a graph containing a cycle might be used to represent the recursive expressions that are c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Semantic Network
A semantic network, or frame network is a knowledge base that represents semantic relations between concepts in a network. This is often used as a form of knowledge representation. It is a directed or undirected graph consisting of vertices, which represent concepts, and edges, which represent semantic relations between concepts, mapping or connecting semantic fields. A semantic network may be instantiated as, for example, a graph database or a concept map. Typical standardized semantic networks are expressed as semantic triples. Semantic networks are used in natural language processing applications such as semantic parsing and word-sense disambiguation. Semantic networks can also be used as a method to analyze large texts and identify the main themes and topics (e.g., of social media posts), to reveal biases (e.g., in news coverage), or even to map an entire research field. History Examples of the use of semantic networks in logic, directed acyclic graphs as a mnemonic ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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World Intellectual Property Organization
The World Intellectual Property Organization (WIPO; (OMPI)) is one of the 15 specialized agencies of the United Nations (UN). Pursuant to the 1967 Convention Establishing the World Intellectual Property Organization, WIPO was created to promote and protect intellectual property (IP) across the world by cooperating with countries as well as international organizations. It began operations on 26 April 1970 when the convention entered into force. The current Director General is Singaporean Daren Tang, former head of the Intellectual Property Office of Singapore, who began his term on 1 October 2020. WIPO's activities include: hosting forums to discuss and shape international IP rules and policies, providing global services that register and protect IP in different countries, resolving transboundary IP disputes, helping connect IP systems through uniform standards and infrastructure, and serving as a general reference database on all IP matters; this includes providing report ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Patent Cooperation Treaty
The Patent Cooperation Treaty (PCT) is an international patent law treaty, concluded in 1970. It provides a unified procedure for filing patent applications to protect inventions in each of its contracting states. A patent application filed under the PCT is called an international application, or PCT application. A single filing of a PCT application is made with a Receiving Office (RO) in one language. It then results in a search performed by an International Searching Authority (ISA), accompanied by a written opinion regarding the patentability of the invention, which is the subject of the application. It is optionally followed by a preliminary examination, performed by an International Preliminary Examining Authority (IPEA). Finally, the relevant national or regional authorities administer matters related to the examination of application (if provided by national law) and issuance of patent. A PCT application does not itself result in the grant of a patent, since there is no ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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United Nations University
The is the think tank and academic arm of the United Nations. Headquartered in Shibuya, Tokyo, Japan, with diplomatic status as a UN institution, its mission is to help resolve list of global issues, global issues related to Human development (economics), human development and welfare through collaborative research and education. In 1969, Secretary-General of the United Nations, UN Secretary-General U Thant proposed "the establishment of a United Nations university, truly international and devoted to the Charter objectives of peace and progress". Following three annual sessions discussing the matter, the United Nations General Assembly (UNGA) approved the founding of the United Nations University in December 1972. Tokyo was chosen as the main location due to the Japanese government's commitment to provide facilities and $100 million to the UNU Financial endowment, endowment fund. The United Nations University was formally inaugurated in January 1975 as the world's first inter ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |