Information Science

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  1. Michael Grüninger & Christopher Menzel (2003). The Process Specification Language: Theory and Applications. AI Magazine 24 (3):63-74.
    The Process Specification Language (PSL) has been designed to facilitate correct and complete exchange of process information among manufacturing systems, such as scheduling, process modeling, process planning, production planning, simulation, project management, work flow, and business process reengineering. We given an overview of the theories with the PSL ontology, discuss some of the design principles for the ontology, and finish with examples of process specifications that are based on the ontology.
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  2. Ken Herold, Introduction to Library Trends 52 (3) Winter 2004: The Philosophy of Information.
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  3. C. Maria Keet & Alessandro Artale (2008). Representing and Reasoning Over a Taxonomy of Part-Whole Relations. Applied ontology 3 (1-2):91-110.
    Many types of part-whole relations have been proposed in the literature to aid the conceptual modeller to choose the most appropriate type, but many of those relations lack a formal specification to give clear and unambiguous semantics to them. To remedy this, a formal taxonomy of types of mereological and meronymic part-whole relations is presented that distinguishes between transitive and intransitive relations and the kind of entity types that are related. The demand to use it effectively brings afore new requirements (...)
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  4. Christopher Menzel, Basic Semantic Integration. Semantic Interoperability and Integration, Proceedings of Dagstuhl Seminar 04391.
    The use of highly abstract mathematical frameworks is essential for building the sort of theoretical foundation for semantic integration needed to bring it to the level of a genuine engineering discipline. At the same time, much of the work that has been done by means of these frameworks assumes a certain amount of background knowledge in mathematics that a lot of people working in ontology, even at a fairly high theoretical level, lack. The major purpose of this short paper is (...)
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  5. Christopher Menzel, Formal Ontology and Philosophical Content on the Semantic Web.
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  6. Christopher Menzel & Michael Grüninger (2001). A Formal Foundation for Process Modeling. In C. Welty B. Smith (ed.), Formal Ontology and Information  Systems. ACM Press.
    Process modeling is ubiquitous in business and industry. While a great deal of effort has been devoted to the formal and philosophical investigation of processes, surprisingly little research connects this work to real world process modeling. The purpose of this paper is to begin making such a connection. To do so, we first develop a simple mathematical model of activities and their instances based upon the model theory for the NIST Process Specification Language (PSL), a simple language for describing these (...)
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  7. Christopher Menzel & Patrick Hayes, SCL: A Logic Standard for Semantic Integration. Semantic Integration, CEUR Workshop Proceedings, Vol. 82 (2003).
    The Knowledge Interchange Format (KIF) [2] is an ASCII- based framework for use in exchanging of declarative knowledge among disparate computer systems. KIF has been widely used in the fields of knowledge engineering and artificial intelligence. Due to its growing importance, there arose a renewed push to make KIF an offi- cial international standard. A central motivation behind KIF standardization is the wide variation in quality, style, and content — of logic-based frameworks being used for knowledge representation. Variations of all (...)
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  8. Andrea Scarantino & Gualtiero Piccinini (2010). Information Without Truth. Metaphilosophy 41 (3):313-330.
    Abstract: According to the Veridicality Thesis, information requires truth. On this view, smoke carries information about there being a fire only if there is a fire, the proposition that the earth has two moons carries information about the earth having two moons only if the earth has two moons, and so on. We reject this Veridicality Thesis. We argue that the main notions of information used in cognitive science and computer science allow A to have information about the obtaining of (...)
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  9. Stefan Wintein (forthcoming). Assertoric Semantics and the Computational Power of Self-Referential Truth. Journal of Philosophical Logic.
    There is no consensus as to whether a Liar sentence is meaningful or not. Still, a widespread conviction with respect to Liar sentences (and other ungrounded sentences) is that, whether or not they are meaningful, they are useless. The philosophical contribution of this paper is to put this conviction into question. Using the framework of assertoric semantics, which is a semantic valuation method for languages of self-referential truth that has been developed by the author, we show that certain computational problems, (...)
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