Search results for 'Semantic Web' (try it on Scholar)

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  1.  2
    Semantic Web (2011). Ontology, Semantic Web, Creativity. In Thomas Bartscherer (ed.), Switching Codes. Chicago University Press 101.
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  2. Graham White, Semantics, Hermenutics, Statistics: Some Reflections on the Semantic Web. Proceedings of HCI2011.
    We start with the ambition -- dating back to the early days of the semantic web -- of assembling a significant portion human knowledge into a contradiction-free form using semantic web technology. We argue that this would not be desirable, because there are concepts, known as essentially contested concepts, whose definitions are contentious due to deep-seated ethical disagreements. Further, we argue that the ninetenth century hermeneutical tradition has a great deal to say, both about the ambition, and about (...)
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  3.  13
    Pompeu Casanovas (2015). Semantic Web Regulatory Models: Why Ethics Matter. Philosophy and Technology 28 (1):33-55.
    The notion of validity fulfils a crucial role in legal theory. In the emerging Web 3.0, Semantic Web languages, legal ontologies, and normative multi-agent systems are designed to cover new regulatory needs. Conceptual models for complex regulatory systems shape the characteristic features of rules, norms, and principles in different ways. This article outlines one of such multilayered governance models, designed for the CAPER platform, and offers a definition of Semantic Web Regulatory Models . It distinguishes between normative-SWRM and (...)
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  4.  12
    Catherine Legg (2007). Ontologies on the Semantic Web. Annual Review of Information Science and Technology 41:407-451.
    As an informational technology, the World Wide Web has enjoyed spectacular success. In just ten years it has transformed the way information is produced, stored, and shared in arenas as diverse as shopping, family photo albums, and high-level academic research. The “Semantic Web” was touted by its developers as equally revolutionary but has not yet achieved anything like the Web’s exponential uptake. This 17 000 word survey article explores why this might be so, from a perspective that bridges both (...)
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  5.  6
    Catherine Legg (2013). Peirce, Meaning, and the Semantic Web. Semiotica 2013 (193):119-143.
    This paper seeks an explanation for the challenges faced by Semantic Web developers in achieving their vision, compared to the staggering near-instantaneous success of the World Wide Web. To this end it contrasts two broad philosophical understandings of meaning and argues that the choice between them carries real consequences for how developers attempt to engineer the Semantic Web. The first is Rene Descartes’ ‘private’, static account of meaning (arguably dominant for the last 400 years in Western thought) which (...)
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  6.  26
    Christopher Menzel, Formal Ontology and Philosophical Content on the Semantic Web.
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  7. Pompeu Casanovas Romeu (ed.) (2007). Trends in Legal Knowledge: The Semantic Web and the Regulation of Electronic Social Systems: Papers From the B-4 Workshop on Artificial Intelligence and Law, May 25th- 27th 2005: Xxii World Congress of Philosophy Ivr '05 Granada, May 24th-29th 2005. [REVIEW] European Press Academic Pub..
  8. J. Davies, Dieter Fensel & Frank Van Harmelen (2003). Towards the Semantic Web Ontology-Driven Knowledge Management.
     
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  9.  68
    Luciano Floridi (2009). Web 2.0 Vs. The Semantic Web: A Philosophical Assessment. Episteme 6 (1):25-37.
    The paper develops some of the conclusions, reached in Floridi (2007), concerning the future developments of Information and Communication Technologies (ICTs) and their impact on our lives. The two main theses supported in that article were that, as the information society develops, the threshold between online and offline is becoming increasingly blurred, and that once there won't be any significant difference, we shall gradually re-conceptualise ourselves not as cyborgs but rather as inforgs, i.e. socially connected, informational organisms. In this paper, (...)
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  10.  23
    Mariano Rodr´Iguez, Toward Using Bio-Ontologies in the Semantic Web: Trade-Offs Between Ontology Languages.
    Ontology languages for the Semantic Web have their strengths and weaknesses, in particular in the light of deploying them for biological and medical information systems. We survey and compare the Description Logics-based OWL languages, and the DL-Lite and DLR families of languages. Language choices that an ontology developer has to make are, among others, expressivity with n-ary relations (where n > 2) and more role properties versus ontology usage for data-intensive tasks. Guidelines are suggested to facilitate choosing the language (...)
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  11.  29
    Colin Allen, Working the Crowd: Design Principles and Early Lessons From the Social-Semantic Web.
    The Indiana Philosophy Ontology (InPhO) project is presented as one of the first social-semantic web endeavors which aims to bootstrap feedback from users unskilled in ontology design into a precise representation of a specific domain. Our approach combines statistical text processing methods with expert feedback and logic programming approaches to create a dynamic semantic representation of the discipline of philosophy. We describe the basic principles and initial experimental results of our system.
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  12.  11
    Paolo Bouquet, Heiko Stoermer & Massimiliano Vignolo (2012). Web of Data and Web of Entities: Identity and Reference in Interlinked Data in the Semantic Web. Philosophy and Technology 25 (1):5-26.
    Using web standards, such as uniform resource identifiers (URIs), XML and HTTP, for naming and describing resources which are not information objects is the key difference between the Web as we know it today and the Semantic Web. Naming and interlinking this type of resources by HTTP URIs (instead of individual constants in a formal language) is the key feature which distinguishes traditional knowledge representation from web-scale knowledge representation. However, this use of URIs brought back attention to the old (...)
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  13. Stephen F. Bush (forthcoming). Reasoning About Information Assurance Policy with Uncertainty Using the Semantic Web. Annual Symposium on Information Assurance:1--7.
    This is a brief letter outlining speculative ideas for semantic web reasoning about information assurance. Much work has been done on the development of semantic web applications for reasoning about information assurance. A significant portion of this work is focused upon semantic web ontologies and reasoning about security policies and the underlying implementation of those policies. While numerous semantic web-based security policy ontologies and reasoners exist, both academically and commercially, I will briefly focus on ideas related (...)
     
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  14.  8
    Christopher Walton (2006). Agency and the Semantic Web. OUP Oxford.
    This text looks at the construction of the Semantic Web, which will enable computers to automatically and independently consume Web-based information. With numerous programming examples, it is ideal for undergraduates and graduates in mathematics, computer science and logic and researchers interested in Multi-Agent Systems and the Semantic Web.
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  15.  1
    Milton Keynes, Enrico Motta & Michele Pasin (2008). PhiloSURFical: Browse Wittgenstein’s World with the Semantic Web. In Herbert Hrachovec & Alois Pichler (eds.), Wittgenstein and the Philosophy of Information: Proceedings of the 30th International Ludwig Wittgenstein-Symposium in Kirchberg, 2007. De Gruyter 319-331.
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  16.  2
    Heiner Reviewer-Stuckenschmidt (2006). Review of Law and the Semantic Web: Legal Ontologies, Methodologies, Legal Information Retrieval, and Applications Lecture Notes in AI by Benjamins, R., Casanovas, P., Gangemi, A., Selic, B., Springer, Berlin, 2005. [REVIEW] Artificial Intelligence and Law 14 (1).
  17.  1
    Joon S. Park (2003). Towards Secure Collaboration on the Semantic Web. Acm Sigcas Computers and Society 33 (2):1.
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  18. Yu Asano & Yuzuru Tanaka (2011). A Vocabulary Building Mechanism Based on Lexicographic Semantics for Querying the Semantic Web. Transactions of the Japanese Society for Artificial Intelligence 26:248-261.
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  19. Chris Baker & Kei H. Cheung (eds.) (2006). Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences. Springer.
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  20. Nam-Deok Cho, Eun-ser Lee & Hyun-gun Park (2006). Hybrid Information Technology Using Computational Intelligence-Security Intelligence: Web Contents Security System for Semantic Web. In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer-Verlag 4252--819.
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  21. Roberto Gil Garcia (2006). IFIP WG 2.12 and WG 12.4 International Workshop on Web Semantic (SWWS)-Security, Risk and Privacy for the Semantic Web-An OWL Copyright Ontology for Semantic Digital Rights Management. [REVIEW] In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer-Verlag 1745-1754.
     
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  22. Stijn Heymans, Davy Van Nieuwenborgh & Dirk Vermeir (2007). Open Answer Set Programming for the Semantic Web. Journal of Applied Logic 5 (1):144-169.
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  23. Takahiro Kawamura, Tetsuo Hasegawa, Akihiko Ohsuga, Massimo Paolucci & Katia Sycara (2005). Public Experiment and Evaluation of Semantic Web Service Matchmaker. Transactions of the Japanese Society for Artificial Intelligence 20:426-436.
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  24. Jinhyung Jeong Kim & Yixin Baik Jing (2006). IFIP WG 2.12 and WG 12.4 International Workshop on Web Semantic (SWWS)-Applications of Semantic Web-QP-T: Query Pattern-Based RDB-to-XML Translation. [REVIEW] In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer-Verlag 1844-1853.
     
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  25. Kalliopi Kravari, Nick Bassiliades & Guido Governatori (2016). A Policy-Based B2C E-Contract Management Workflow Methodology Using Semantic Web Agents. Artificial Intelligence and Law 24 (2):93-131.
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  26. Philippe Laublet (2009). Part V. Ict to Support Pluralism of Interpretations?: 13. Semantic Web and Ontologies. In Bernard Reber & Claire Brossaud (eds.), Digital Cognitive Technologies: Epistemology and Knowledge Society. Iste Ltd
     
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  27. Rui G. Freire Pereira (2006). Applications and Services-Integration of Ontologies and Semantic Annotations with Resource Description Framework in Eclipse-Based Platforms with Editing Features for Semantic Web. In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer-Verlag 3961--902.
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  28. Donika Valcheva, Margarita Todorova & Mariyana Nikolova (2009). Improving the Quality of E-Learning by the Use of the Semantic Web Approach. Communication and Cognition. Monographies 42 (1-2):89-99.
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  29. Toshiko Wakaki, Hajime Sawamura, Taro Fukumoto, Takanori Mukai & Katsumi Nitta (2007). Integration of Semantic Web Reasoning and Argument-Based Reasoning. Transactions of the Japanese Society for Artificial Intelligence 22:322-331.
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  30. Radek Jun & Ivan Jelínek (2007). Adaptive Web Based on Semantic Model. Communication and Cognition: An Interdisciplinary Quarterly Journal 40 (3/4):225.
     
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  31.  4
    Steven Jones (2010). Using Web Data to Explore Lexico-Semantic Relations. In Petra Storjohann (ed.), Lexical-Semantic Relations: Theoretical and Practical Perspectives. John Benjamins Pub. Company 28--49.
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  32. Harry Halpin (2011). Sense and Reference on the Web. Minds and Machines 21 (2):153-178.
    We examine a crucial question for the World Wide Web: What does a Uniform Resource Identifier (URI) mean? Crucial for the next-generation Semantic Web, can it refer to things outside web-pages? The Web is a universal information space for naming and accessing information via URIs. However, the classical philosophical problems of meaning and reference that have been the source of debate within the philosophy of language return when the Web is given as the foundation for a knowledge representation with (...)
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  33.  45
    Roberto García, Rosa Gil & Jaime Delgado (2007). A Web Ontologies Framework for Digital Rights Management. Artificial Intelligence and Law 15 (2):137-154.
    In order to improve the management of copyright in the Internet, known as Digital Rights Management, there is the need for a shared language for copyright representation. Current approaches are based on purely syntactic solutions, i.e. a grammar that defines a rights expression language. These languages are difficult to put into practise due to the lack of explicit semantics that facilitate its implementation. Moreover, they are simple from the legal point of view because they are intended just to model the (...)
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  34.  12
    Ernesto William De Luca (2010). A Corpus for Evaluating Semantic Multilingual Web Retrieval Systems: The Sense Folder Corpus. Argument: Biannual Philosophical Journal 48:5.
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  35. Paolo Damiani Ceravolo & Marcello Viviani Leida (2006). IFIP WG 2.12 and WG 12.4 International Workshop on Web Semantic (SWWS)-Ontologies-OntoExtractor: A Fuzzy-Based Approach to Content and Structure-Based Metadata Extraction. [REVIEW] In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer-Verlag 1825-1834.
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  36.  17
    E. Francesconi & G. Peruginelli (2009). Integrated Access to Legal Literature Through Automated Semantic Classification. Artificial Intelligence and Law 17 (1):31-49.
    Access to legal information and, in particular, to legal literature is examined for the creation of a search and retrieval system for Italian legal literature. The design and implementation of services such as integrated access to a wide range of resources are described, with a particular focus on the importance of exploiting metadata assigned to disparate legal material. The integration of structured repositories and Web documents is the main purpose of the system: it is constructed on the basis of a (...)
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  37. David Salmen, Tatiana Malyuta, Alan Hansen, Shaun Cronen & Barry Smith (2011). Integration of Intelligence Data Through Semantic Enhancement. In Proceedings of the Conference on Semantic Technology in Intelligence, Defense and Security (STIDS). CEUR, Vol. 808
    We describe a strategy for integration of data that is based on the idea of semantic enhancement. The strategy promises a number of benefits: it can be applied incrementally; it creates minimal barriers to the incorporation of new data into the semantically enhanced system; it preserves the existing data (including any existing data-semantics) in their original form (thus all provenance information is retained, and no heavy preprocessing is required); and it embraces the full spectrum of data sources, types, models, (...)
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  38.  24
    Barry Smith, Tatiana Malyuta & Others (2012). Horizontal Integration of Warfighter Intelligence Data. A Shared Semantic Resource for the Intelligence Community. In Proceedings of the Conference on Semantic Technology in Intelligence, Defense and Security (STIDS).
    We describe a strategy that is being used for the horizontal integration of warfighter intelligence data within the framework of the US Army’s Distributed Common Ground System Standard Cloud (DSC) initiative. The strategy rests on the development of a set of ontologies that are being incrementally applied to bring about what we call the ‘semantic enhancement’ of data models used within each intelligence discipline. We show how the strategy can help to overcome familiar tendencies to stovepiping of intelligence data, (...)
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  39.  9
    Massimo Riva (2015). Change of Paradigm: From Individual to Community-Based Scholarship. Humanist Studies and the Digital Age 4 (1):35-38.
    The title does not refer to the application of knowledge through faculty engagement in community-based research, teaching and service – something that is usually understood as community-engaged scholarship. The change of paradigm referred to in the title should be understood within the broader framework of the general transformation of our participatory or convergence culture in the age of social and “spreadable” media. As the Web 2.0 evolves toward the Web 3.0, or the semantic web, community-engaged scholarship remains one of (...)
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  40.  25
    Euripidis N. Loukis (2007). An Ontology for G2g Collaboration in Public Policy Making, Implementation and Evaluation. Artificial Intelligence and Law 15 (1):19-48.
    This paper concerns the development and use of ontologies for electronically supporting and structuring the highest-level function of government: the design, implementation and evaluation of public policies for the big and complex problems that modern societies face. This critical government function usually necessitates extensive interaction and collaboration among many heterogeneous government organizations (G2G collaboration) with different backgrounds, mentalities, values, interests and expectations, so it can greatly benefit from the use of ontologies. In this direction initially an ontology of public policy (...)
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  41.  6
    Lucas Drumond & Rosario Girardi (2008). A Multi-Agent Legal Recommender System. Artificial Intelligence and Law 16 (2):175-207.
    Infonorma is a multi-agent system that provides its users with recommendations of legal normative instruments they might be interested in. The Filter agent of Infonorma classifies normative instruments represented as Semantic Web documents into legal branches and performs content-based similarity analysis. This agent, as well as the entire Infonorma system, was modeled under the guidelines of MAAEM, a software development methodology for multi-agent application engineering. This article describes the Infonorma requirements specification, the architectural design solution for those requirements, the (...)
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  42. Leo Obrst, Werner Ceusters, Inderjeet Mani, Steve Ray & Barry Smith (2006). The Evaluation of Ontologies: Toward Improved Semantic Interoperability. In Chris Baker & Kei H. Cheung (eds.), Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences. Springer 139-158.
    Recent years have seen rapid progress in the development of ontologies as semantic models intended to capture and represent aspects of the real world. There is, however, great variation in the quality of ontologies. If ontologies are to become progressively better in the future, more rigorously developed, and more appropriately compared, then a systematic discipline of ontology evaluation must be created to ensure quality of content and methodology. Systematic methods for ontology evaluation will take into account representation of individual (...)
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  43. Harry Halpin & Alexandre Monnin (eds.) (2014). Philosophical Engineering: Toward a Philosophy of the Web. Wiley-Blackwell.
    This is the first interdisciplinary exploration of the philosophical foundations of the Web, a new area of inquiry that has important implications across a range of domains. -/- Contains twelve essays that bridge the fields of philosophy, cognitive science, and phenomenology Tackles questions such as the impact of Google on intelligence and epistemology, the philosophical status of digital objects, ethics on the Web, semantic and ontological changes caused by the Web, and the potential of the Web to serve as (...)
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  44.  75
    Christopher Menzel (2011). Knowledge Representation, the World Wide Web, and the Evolution of Logic. Synthese 182 (2):269-295.
    It is almost universally acknowledged that first-order logic (FOL), with its clean, well-understood syntax and semantics, allows for the clear expression of philosophical arguments and ideas. Indeed, an argument or philosophical theory rendered in FOL is perhaps the cleanest example there is of “representing philosophy”. A number of prominent syntactic and semantic properties of FOL reflect metaphysical presuppositions that stem from its Fregean origins, particularly the idea of an inviolable divide between concept and object. These presuppositions, taken at face (...)
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  45.  41
    Leo Obrst, Patrick Cassidy, Steve Ray, Barry Smith, Dagobert Soergel, Matthew West & Peter Yim (2006). The 2006 Upper Ontology Summit Joint Communiqué. Applied Ontology 1 (2):203-211.
    On March 14-15, 2006, at the US National Institute of Standards and Technology (NIST) in Gaithersburg, MD there took place the first Upper Ontology Summit (UOS). This was a convening of custodians of several prominent upper ontologies, key technology participants, and interested other parties, with the purpose of finding a means to relate the different ontologies to each other. The result is reflected in a joint communiqué, directed to the larger ontology community and the general public, and expressing a joint (...)
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  46.  20
    Alexander Boer, Tom van Engers, Rob Peters & Radboud Winkels (2007). Separating Law From Geography in GIS-Based Egovernment Services. Artificial Intelligence and Law 15 (1):49-76.
    The Leibniz Center for Law is involved in the project Digitale Uitwisseling Ruimtelijke Plannen [DURP (http://www.vrom.nl/durp); digital exchange of spatial plans] which develops a XML-based digital exchange format for spatial regulations. Involvement in the DURP project offers new possibilities to study a legal area that hasn’t yet been studied to the extent it deserves in the field of Computer Science & Law. We studied and criticised the work of the DURP project and the Dutch Ministry of internal affairs on metadata (...)
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  47.  94
    Barry Smith (2006). Against Idiosyncrasy in Ontology Development. In Formal Ontology in Information Systems (FOIS).
    The world of ontology development is full of mysteries. Recently, ISO Standard 15926 (“Lifecycle Integration of Process Plant Data Including Oil and Gas Production Facilities”), a data model initially designed to support the integration and handover of large engineering artefacts, has been proposed by its principal custodian for general use as an upper level ontology. As we shall discover, ISO 15926 is, when examined in light of this proposal, marked by a series of quite astonishing defects, which may however provide (...)
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  48.  38
    José Saias & Paulo Quaresma (2004). A Methodology to Create Legal Ontologies in a Logic Programming Based Web Information Retrieval System. Artificial Intelligence and Law 12 (4):397-417.
    Web legal information retrieval systems need the capability to reason with the knowledge modeled by legal ontologies. Using this knowledge it is possible to represent and to make inferences about the semantic content of legal documents. In this paper a methodology for applying NLP techniques to automatically create a legal ontology is proposed. The ontology is defined in the OWL semantic web language and it is used in a logic programming framework, EVOLP+ISCO, to allow users to query the (...)
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  49.  23
    Barry Smith, Tatiana Malyuta, Ron Rudnicki, William Mandrick, David Salmen, Peter Morosoff, Danielle K. Duff, James Schoening & Kesny Parent (2013). IAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain. CEUR 1097:33-40.
    We describe on-going work on IAO-Intel, an information artifact ontology developed as part of a suite of ontologies designed to support the needs of the US Army intelligence community within the framework of the Distributed Common Ground System (DCGS-A). IAO-Intel provides a controlled, structured vocabulary for the consistent formulation of metadata about documents, images, emails and other carriers of information. It will provide a resource for uniform explication of the terms used in multiple existing military dictionaries, thesauri and metadata registries, (...)
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  50. Michael Kohlhase, Prototyping a Browser for a Listed Buildings Database with Semantic MediaWiki.
    Listed buildings, even if they are not top landmarks, are increasingly attracting visitors. People express interest in hidden gems in their neighborhood or along their travel itinerary, and in the history of the building they live in. All required data has been meticulously collected by the offices for historical monuments but is not flexibly accessible. In Bremen, the database of buildings (with location, map of the estate, construction history, architect, photos) is searchable and browsable online3, but that only helps users (...)
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