Chomsky (1968: 3) greeted the rise of computing technology with skepticism, arguing that "the kinds of structures that are realizable in terms of [computational methods ] are simply not those that must be postulated to underlie the use of language . " 55 years later, Piantadosi (2023: 15) celebrated the release of ChatGPT by directing that same criticism toward generative linguistic s: "the success of large language models is a failure for generative theories because it goes against virtually all of the principles these theories have espoused . " Chesi ( forthcoming) may not agree with Piantadosi's criticisms, but he does take them as a harbinger of scientific crisis. The minimalist program, hampered by a lack of formal and empirical rigor, has failed to produce a comprehensive, self - consistent theory of syntax. ChatG PT's apparent linguistic competence, in tandem with the success of computational accounts of gradient acceptability and online phenomena, seem to suggest that "generative linguistics no longer dictates the agenda for future linguistic challenges" ( Chesi forthcoming: 2). In order to survive, Chesi warns, generativists need to make progress towards a theory that is based on precisely stated principles and evaluated on a common set of explananda . Chesi's target paper presents the current collision of the worlds as a debate about the intellectual merits of generativist theories. According to Chesi, the success of generativism depends on generativists' ability to resolve their deficits of rigor, so that they can parry the theoretical attacks that language model s have levied against core principles of minimalism. This response argues, contrary to Chesi's framing but consistent with current consensus in the history and sociology of science (Fleck 1935; Kuhn 1962; Mullin s 1975; Latour 1984; Law & Lodge 1984), that the generativist crisis described by Piantadosi and Chesi is social in nature, and cannot be averted by intellectual means.

Due to the dynamic nature of the semantic web, ontology version control is required to capture time-varying information, most importantly for widely-used ontologies. Despite the long-standing recognition of ontology versioning (OV) as a crucial component for efficient ontology management, the growing size of ontologies and accumulating errors caused by manual labour overwhelm current OV approaches. In this paper, we propose yet another approach to performing OV using existing ontology matching (OM) techniques and systems. We introduce a unified OM4OV pipeline. From an OM perspective, we reconstruct a new task formulation, measurement, and testbed for OV tasks. Reusing the prior alignment(s) from OM, we propose a pipeline optimisation method called cross-reference (CR) mechanism to improve overall OV performance. We experimentally validate the OM4OV pipeline and the cross-reference mechanism in modified Ontology Alignment Evaluation Initiative (OAEI) datasets. We also discuss the insights on OM used for OV tasks, where some false mappings detected by OV systems are not actually false.

Ontology matching is defined as finding a relationship or correspondence between two or more entities in two or more ontologies. To solve the interoperability problem of the domain ontologies, semantically similar entities in these ontologies must be found and aligned before merging them. GraphMatcher, developed in this study, is an ontology matching system using a graph attention approach to compute higher-level representation of a class together with its surrounding terms. The GraphMatcher has obtained remarkable results in in the Ontology Alignment Evaluation Initiative (OAEI) 2022 conference track.

Simulated annealing-based ontology matching (SANOM) participates for the second time at the ontology alignment evaluation initiative (OAEI) 2019. This paper contains the configuration of SANOM and its results on the anatomy and conference tracks. In comparison to the OAEI 2017, SANOM has improved significantly, and its results are competitive with the state-of-the-art systems. In particular, SANOM has the highest recall rate among the participated systems in the conference track, and is competitive with AML, the best performing system, in terms of F-measure. SANOM is also competitive with LogMap on the anatomy track, which is the best performing system in this track with no usage of particular biomedical background knowledge. SANOM has been adapted to the HOBBIT platfrom and is now available for the registered users.

AMSTERDAM--(BUSINESS WIRE)--Arriving in Amsterdam on the 27-28 June, the second annual AI Expo Europe event will host 2 co-located events covering IoT and Blockchain, with 8,000 attendees expected to attend including CTO's, CDO's, Head's of Innovation and Technology, IT Directors, Developers & Start-Up's, OEM's, Government, Automotive, Operators, Technology Providers, Investors, VCs and many more. The AI Expo will showcase the most cutting-edge technologies from more than 300 exhibitors and provide insight from over 300 speakers sharing their unparalleled industry knowledge and real-life experiences. The event will host a dedicated start-up incubator zone where you can see the latest AI & IoT technologies and innovations in action, in addition to the vast exhibition of 300 companies who will be showcasing their products and services within the field of AI, IoT & Blockchain. Expect to see demos and booths from Microsoft, IBM, PTC, Kore, Hercules, Thales, Rutronik, Enterprise Ethereum Alliance, BPU Holdings, Start-up Amsterdam, ML6, Bottos, Ortec Data Science, Adani, NTR Labs, Prosper BI and many more. Start-ups within the incubator zone include Aiir Innovations, Botsquad, Mercury.AI, IoTify, Porter, 3D Universium, Zazu, 904 Labs, Innovation in Motion, Blockhearts, Mind Trace, Sightcorp, Cupenya, Effect.Ai, Sodaq, Amberscript, BrainCreators, Clockworks to name a few. In addition, attendees can join speakers from Aiir Innovations, Mercury.AI and BrainCreators within the AI Technologies track on day 2 (28th June) as they explore innovative artificial intelligence techniques.

LONDON--(BUSINESS WIRE)--In 2018, worldwide IT spending is predicted to hit $3.7 trillion, an increase of 4.5% from 2017 according to a recent report by Gartner. The increase in spending will be driven by emerging technologies; IoT, Blockchain and AI are projected to be the key growth areas. Many feel the game-changer for emerging technologies lies in the convergence of IoT, Blockchain and AI. Recently IoT Tech Expo speaker, Cisco's Maciej Kranz* stated that 2018 will be the time when the leading technologies of today; AI, IoT and blockchain will converge to power new solutions. And we can already see an example of this from Porsche which is currently testing IoT, AI and blockchain technology solutions for smart cars.

In 2018, worldwide IT spending is predicted to hit $3.7 trillion, an increase of 4.5% from 2017 according to a recent report by Gartner. The increase in spending will be driven by emerging technologies; IoT, Blockchain and AI are projected to be the key growth areas. Many feel the game-changer for emerging technologies lies in the convergence of IoT, Blockchain and AI. Recently IoT Tech Expo speaker, Cisco's Maciej Kranz* stated that 2018 will be the time when the leading technologies of today; AI, IoT and blockchain will converge to power new solutions. And we can already see an example of this from Porsche which is currently testing IoT, AI and blockchain technology solutions for smart cars.

The AI Expo North America event will showcase the next generation technologies and strategies from the world of artificial intelligence -- an opportunity to explore and discover the practical and successful implementation of AI in driving forward businesses in 2017 and beyond. A report by Forrester has revealed that businesses who implement artificial intelligence strategies to reveal new business insights will prosper by $1.2 trillion per annum compared to their competitors who are less informed. Industry experts and thought leaders from the likes of Google, Visa, Disney Research, Uber, and NASA will be sharing their AI knowledge and use cases at the AI Expo North America in Santa Clara, CA on November 29-30. The high-level conference will bring together forward-thinking brands, market leaders, AI evangelists, and hot startups to explore and debate the advancements in artificial intelligence and the impacts within the enterprise and consumer sectors. Topics covered include business intelligence, deep learning, machine learning, AI algorithms, data and analytics, virtual assistants and chatbots, as well as case study-based presentations proving insight into the deployment of AI across different verticals.

Utrecht is more than 1,300 years old and located in the center of the Netherlands, about 40 minutes by train from Amsterdam. School (EASSS 2005) for about 120 students, which was organized by Europe's coordination network for agent systems (AgentLink) and was as successful as previous summer schools in Utrecht, Saarbruecken, Prague, Barcelona, Bologna, and Liverpool. Overall, in the theory and practice of AAMAS 2005 had 778 academic and autonomous agents and multiagent industrial participants from 44 countries systems. AAMAS 2005 is the fourth on six continents. The main room of this can with some justification AAMAS 2005 was held on July building, in which the Treaty of claim to be one of the most active.

ITFlorida will promote the common interests of its members by leveraging their collective talent and advocating on their behalf while formulating policy recommendations to state, federal, and local government. The percent of this year's papers had international semantic web were the most extensive talk included demonstrations of authors. Pat Hayes (UWF-IHMC) gave a Beach, Florida. "view from the trenches" of the ongoing from 14 to 16 May, was sponsored by University) drew an interesting analogy a broad spectrum of research areas. The special tracks presentation themes, which ranged "frictionless brains."