description logic knowledge representation

In order to effectively represent andinference with this representation,a athematical modelis required. A list of description logic reasoners maintained by Uli Sattler Concept Languages, Terminological Languages) developed starting in the mid ’80s, with the aim of providing semantics and inference techniques to knowledge representation … The current W3C standard for Semantic Web ontology languages, OWL, is based on the knowledge representation formalism of Description Logics (DLs). Download PDF. Knowledge Representation in Description Logic. In this article, we complement IDs with the light-weight description logic (DL) EL to overcome such limitations. However, FOL has two drawbacks as a knowledge representation formalism: ease of use and practicality of implementation. This is the case for Description Logics, which have been adopted for knowledge representation on the Web and in a number of application areas. Description Logic languages are then viewed as the core of knowledge represen-tation systems, considering both the structure of a DL knowledge base and its associated reasoning services. tion to the use of logic in knowledge representation, reasoning, and planning, while also covering the essential ideas underlying practical methodologies such as production systems, description logic-based systems, and Bayesian networks. Description logics (DL) are logics serving primarily for formal description of concepts and roles (relations). Date post: 13-Dec-2015: Category: Documents: View: 212 times: Download: 0 times Next: Semantic Networks Up: Styles of Knowledge Representation Previous: Styles of Knowledge Representation. This work attempts to capture effectively the knowledge of the document using knowledge representation formalism Description Logic (DL) and represents the concepts as a DL hierarchy. knowledge representation consists of how to store and manipulate knowledge in an information system in a formal way so that it may be used by mechanisms to accomplish a given task. considered as a tool for searchers on the Arabic. useful to create a Meta-knowledge base. As the name implies, research on description logic emphasizes a careful formalization of the notions involved, and a preoccupation with precisely defined reasoning … Still, for a start, it is important to realize that modal notions have a long historical pedigree. Tableaux methods: tableaux-style proof system for ALC decision problems, extensions. Centre for Health Informatics and Multiprofessional Education, UCL, London, UK. Knowledge Representation and Reasoning Logic in Computer Science Description Logic Mathematical Logic Modal Logic Temporal Logic Spatial Reasoning Combining Logics Automated Reasoning Logics for Dynamical Systems Papers online. Although standard DLs provide considerable expressive power, they cannot express various kinds of imprecise or vague knowledge and thus cannot deal with uncertainty, an intrinsic feature of the real world and our knowledge. Spintronics. OverviewDescription Logics (DLs) is a family of KR formalisms that represent the knowledge of an application domain (the world) by. Representing knowledge symbolically in a form suitable for automated reasoning, and associated reasoning methods. They were already studied by Aristotle and then by the … ABSTRACT Description logic (DL) is a language for knowledge representation which is used to represent the terminological knowledge of an ap- plication domain in a structured and well … Implicit information, in turn, often requires reasoning to make it explicit. In order to compile and load Racer inside Common Lisp use Quicklisp or ASDF directly. practical aspects of knowledge representation and automated reasoning. A semantic network is a graphical knowledge representation technique. We focus on description logic knowledge bases with ontologies formulated in Horn-ALCI and (unions of) conjunctive queries. NPTEL AI KRR 2021 (Draft V0.2) DL notes compiled from (KRR) Knowledge Representation and … Description Logics Exercise Sheet 1 Dr. rer. Download. Machine consciousness is an emerging field that addresses … Nowadays one of the main applications is the Semantic Web. CS 2740 Knowledge Representation M. Hauskrecht Concepts, roles, constants Description logic: sentences are either true or false Three sorts of expressions: • concepts are like category nouns. Antonio Chella. artificial intelligence combination of theories complexity theory databases description logic formal languages formal logic knowledge representation knowledge-based system ontologies problem solving programming languages query languages semantic web semantics software engineering theorem proving unification World Wide Web GPU simulations. • Knowledge affects the development, efficiency, speed, and maintenance of the system. Description Logic and Faceted Knowledge Representation Uta Priss School of Library and Information Science Indiana University, Bloomington, IN 47405, USA upriss@indiana.edu 1 Introduction The term ”facet” was introduced into the field of library classification systems by Ranganathan in the 1930’s [Ranganathan, 1962]. MSc in Comp. Introduction ..... 4 2. Knowledge Representation and reasoning. View 5.Knowledge Representation.ppt from BUSINESS A 3010 at University of California, Los Angeles. Knowledge Representation and Reasoning Logics for Arti cial Intelligence Stuart C. Shapiro Department of Computer Science and Engineering and Center for Cognitive Science University at Bu alo, The State University of New York Bu alo, NY 14260-2000 shapiro@cse.buffalo.edu copyright c 1995, 2004{2010 by Stuart C. Shapiro Page 1. Racer is a knowledge representation system that implements a highly optimized tableau calculus for the description logic SRIQ(D). {Each description logic describes a language, and each language di er in expressibility vs. reasoning complexity, de ned by allowing or disallowing di erent Mammographic knowledge representation in description logic. Application examples I database designing I object methods Logic { 2017/2018 (2/99) Query answering in databasesQuerying databases and ontologiesQuery answering in Description LogicsReferencesReferences Part 3: Query answering in databases and … The 2nd edition of the Description Logic Handbook has appeared in 2007. Knowledge representation and reasoning (KR, KRR) is the part of Artificial intelligence which concerned with AI agents thinking and how thinking contributes to intelligent behavior of agents. The Description Logic Handbook. DL can be used for configuration knowledge representation, especially for the design of component type hierarchies (ontologies) and for coherence analysis. We consider a setup where DL axioms hold in some contexts, yet the actual context is uncertain. Cyber security. One of the implementations of DL is the Web Ontology Language, or OWL specifically the OWL- •  A family of logic based Knowledge Representation formalisms –  Originally descended from semantic networks and KL-ONE –  Describe domain in terms of concepts (aka classes), roles (aka properties, relationships) and individuals Symbolic AI. The greatest advantage of representing knowledge in DL is that the system is now able to handle inconsistency and Incompleteness present in the user queries. { Description logics are formal languages designed for knowledge representation and reasoning, and most of these are decidable fragments of FOL. 3 An A goal of this approach is a modular, machine-aided knowledge base design mechanism. Dog, Teenager, GraduateStudent • roles are like relational nouns E.g. What Are Description Logics? Description logic denotes a family of knowledge representation formalisms that model the application domain by defining the relevant concepts of the domain and then using these concepts to specify properties of objects and individuals occurring in the domain (Baader and Nutt 2003). Knowledge and inference are separate Propositional logic allows partial/disjunctive/negated information unlike most programming languages and databases Propositional logic is compositional: meaning of B 1,1 P 1,2 is derived from meaning of B 1,1 and of P 1,2 Meaning in propositional logic is … • Knowledge representation is key to the success of expert systems. Trustworthy systems. This is the case for Description Logics, which have been adopted for knowledge representation on the Web and in a number of application areas. As sketched in the previous chapter, Description Logics (DLs) is the most recent name1 for a family of knowledge representation (KR) formalisms that represent the knowledge of an application domain (the “world”) by first defining the relevant concepts of the domain (its terminology), and then using these concepts to specify Web-design. List of description logic constructs and their formal semantics. Summary. We represent, and reason with, uncertain knowledge in the description logic ALCHIN extended to an interval-based, norm-parameterized fuzzy logic. Share on. This paper. In this article, however, we will paint on a larger canvas and introduce the reader to what modal logic as a field has become a century hence. – Knowledge Representation & Reasoning by Brachman & Levesque (available online) • Lectures – Tuesday and Thursday, 12:50-2:05, 300-300 • Grades – Four Assignments (40%), Mid-term (25%), Final (35%) • Prerequisites – First order logic and Resolution (at the level of CS157) • There will be two tutorial sections to cover this material Rafael Peñaloza/Marcel Lippmann Winter Semester 2013/14 Exercise 1 Knowledge representation often involves information that is given only implicitly. • Knowledge affects the development, efficiency, speed, and maintenance of the system. The justification for knowledge representation is that conventional procedural code is not the best formalism to use to solve complex problems. Propositional logic. Description Logics. Inthis paper the bag of words representation of documentsis enriched with Lexical, Conceptual and Contextualrelationships. These logics were created from the attempts to formalize semantic networks and frame based systems. This. Description Logic languages are then viewed as the core of knowledge representation systems, considering both the structure of a DL knowledge base and its associated reasoning services. View NOTES-Description-Logic-draft-v02.pdf from CS 6770 at Indian Institute of Technology, Chennai. Authors: Paul Taylor. A short summary of this paper. Skip to main content Accessibility help We use cookies to distinguish you from other users and to provide you with a better experience on our websites. A facet is a viewpoint or aspect. Risk management. Knowledge can take many forms. True • A family of logic based Knowledge Representation formalisms – Descendants of semantic networks and KL-ONE [Brachman and Schmolze, 1985] – Describe domain in terms of concepts (classes), roles (relationships) and individuals • Distinguished by: – Formal semantics (typically model theoretic) Content Areas: description logics, knowledge representation Many description logics (DLs) combine knowledge representation on an abstract, logical level with an interface to “concrete” domains such as numbers and strings with built-in pred-icates such as <, +, and prefix-of. The semantics of these are captured as description logic concepts, roles, and individuals, and typically implemented as classes, properties, and individuals in the Web Ontology Language. Slide 1 LDK R Logics for Data and Knowledge Representation Description Logics: tableaux Slide 2 Tableaux Calculus The Tableaux calculus is a decision procedure to check… Keywords: Knowledge Representation and Reasoning: Computational Complexity of Reasoning . Rooted in early AI approaches, Description Logics (DLs) have developed into one of the main knowledge representation formalisms. Knowledge representation languages are frequently difficult to understand, particularly for those not trained in formal logic. T-Box stores the basic terminologies of … representation formalism of description logics. In: Proc. It departed from an attempt to relational database model) facilitate the implementation of logic and ontology in computers. Example We can say that X is a hunter by a 1-ary … This is achieved by means of the so-called concept-forming operators. The powerful knowledge. defining the relevant concepts of the domain (i.e., its terminology), and then. To illustrate this, consider the following puzzle. Potential candidate formalisms and languages … Knowledge Representation is making use of logic and ontology to construct computable models for given domains. There is a familiar pattern in knowledge representation research in which the description of a new knowledge representation technology is followed by claims that the new ideas are in fact formally equivalent to an existing technology. is providing an expressive tool which can be. • Expert systems are designed for knowledge representation based on rules of logic called inferences. Micromagnetics. Logics for Data and Knowledge Representation Resource Description Framework (RDF) -- Exercises Feroz Farazi Exercise 1 q Produce an RDF triple representation of the product, manufacturer and stock information provided in the following ID table. In this work, the enhanced interrelated set ofbag of words that is semantically lattice of words isrepresented using description logic. D. McGuinness. This research employs Description Logics in order to focus on logical description and analysis of the phenomenon of ‘concept understanding’. Two important features of DL are expressivity and decidability. Research and Applications in Description-Logic-Based Knowledge Representation. Download Full PDF Package. Knowledge Representation and Reasoning: Description Logics and Ontologies . A desired feature in a description logic is to de ne complex concepts in terms of more simpler ones. Editorships Co-editor of Proceedings of International Conference on Principles of Knowledge Representation and Reasoning, 2018 Co … Knowledge representation in Description Logics and It’s Applications Starting From Section 1. • Knowledge representation is key to the success of expert systems. Important descendants of frame-based representation formalisms are description logics that capture the declarative part of frames using a logic-based semantics. requirements needed for such a representation and the results achieved . A Description Logic allows for the specification of concepts (also known as classes), individuals (also known as objects) that are instances of these concepts, and roles (also known as properties) that are In this table, c and d always denote complex concepts, r and s denote complex roles, a denotes an individual, and n is a natural number. Racer is provided with a BSD-3 license (see the file LICENSE.txt). READ PAPER. 1 In troduc tion . DLP provides a significant degree of expressiveness, substantially greater than the RDF-Schema fragment of Description Logic. Semantic Network. 37 Full PDFs related to this paper. View Profile, Igor … We needed enough expressive power to represent the mathematical concepts on the ontology. :Age, :Parent, :AreaOfStudy • constants are like proper nouns E.g. First order logic … Description logic denotes a family of knowledge representation formalisms that model the application domain by defining the relevant concepts of the domain and then using these concepts to specify properties of objects and individuals occurring in the domain (Baader and Nutt 2003). Research and Applications in Description-Logic-Based Knowledge Representation. Knowledge Representation. Knowledge-representation is a field of artificial intelligence that focuses on designing computer representations that capture information about the world that can be used for solve complex problems. Courses » AI:Knowledge Representation and Reasoning Unit 12 - Week 8 : Description Logic reviewer4@nptel.iitm.ac.in Announcements Course Ask a Question Progress FAQ Register for Certification exam Course outline How to access the portal Week - 0 Week 1 : Introduction Week 2 : Propositional Logic Week 3 : First Order Logic Week 4 : Rule Based Systems Week 5 : Representation … add-on for ALP systems. Daniel Dresner. Computational complexity: complexity of concept satisfiability for ALC, knowledge base consistency for ALC, undecidable problems for ALC extensions . In knowledge representation and reasoning, efforts in this direction are more recent, and were usually restricted to sub-areas of KR such as AI planning and description logics. Introduction: Descriptionlogics (DLs) are afamily of knowledge representation formalisms suitable for representing the terminological knowledge ina wide range of applications.The Tableaux algorithm is a general technique for deciding theconcept satisfiability problems in description logics. To … Description Logic is a (family of) logic that focus on the description of the terms. Description logics forma family of both class-based and logic-based knowledge representation Article . The article will deal with a formal-semantic model for figuring out the underlying logical assumptions of ‘concept understanding’ in knowledge representation systems. Fedrico Chesani Introduction to Description Logic(s) part of the knowledge base can be used as an. I Logic provides the formal structure and rules of inference I Ontology defines the kinds of things I Computable models (e.g. First, the … johnSmith, chair128 It has many advantages over previous knowledge representation languages, such as semantic networks and frames [6]. A navigator for the complexity of description logics by Evgeny Zolin. Knowledge representation languages are frequently difficult to understand, particularly for those not trained in formal logic. To do so, we define a new intermediate knowledge representation (KR) contained within this intersection: Description Logic Programs (DLP), and the closely related Description Horn Logic (DHL) which is an expressive fragment of first-order logic (FOL). The development of some implemented knowledge representation systems based on Description Logics and the first applications built with such systems are then reviewed. This work looks at the difficulties experienced with Description Logics; and in particular with the widely-used Manchester … using these concepts to specify the properties of objects in the domain (i.e., the worlds description). C. Description Logic Description Logic (DL) is a very promising knowledge representation language. A list of ontology repositories at the University of Manchester. Description Logics (a.k.a. But representing something in logic may not be very natural and inferences may not be efficient. Queries over Description Logics ontologies Certain answers Complexity of query answering 4 References Diego Calvanese (unibz) ODBS { Knowledge Representation and Ontologies Eur. Historically the claim has often been phrased in terms of equivalence to logic. [EXISTS n r] Stands for the class of individuals in the domain that are related by relation r to at least n other individuals. nat. All In this work, we introduce a discussion on the appropriate formalism to carry out the task of representing mathematical knowledge, and particularly the problems for doing it with Description Logics (BAADER ET AL, 2003). OOPSLA’96 A Functional Layer for Description Logics: Knowledge Representation Meets Object-Oriented Programming by Ralf Möller Abstract: The paper motivates the facilities provided by Description Logics in an object-oriented programming scenario. The ultimate knowledge representation formalism in terms of expressive power and compactness is First Order Logic (FOL). Fedrico Chesani Introduction to Description Logic(s) Some considerations A Description Language DL Extending DL Description Logics Description Logics and SW DL vs. FOL FOL focuses on sentences FOL does not help you on reasoning on complex categories. Modal logic Symbolic AI. 5. Introduction to description logics: knowledge representation, logical formalism, introduction to the basic description logic ALC, extensions. language processing that provides a description A Description Logic Textbook has appeared in 2017. E.g. This paper has its motivation in the occurrence of uncertain knowledge in different application areas, and introduces an expressive fuzzy description logic that extends classical description logics to many-valued logics. In this chapter, we explain what description logics are and why they make good ontology languages. Knowledge representation: symbolic encoding of propositions believed ... more useful than description about actual techniques used for deciding how to move ... • Symbol level: deals with representation, inference Picking a logic has issues at each level • Knowledge level: This paper presents a definition of facets in terms of faceted knowledge representation that incorporates the traditional narrower notion of facets and potentially facilitates translation between different knowledge representation formalisms. Description logics and reasoners, which are descendants of the kl-one language, have been studied in depth in Artificial Intelligence. Description Logic: A Knowledge Representation Language Vandana Mohan Patil Assistant Professor Department of Information Technology, R.C.Patel Institute Of Technology, Shirpur, Maharashtra, INDIA. Abstract Class-based languages express knowledge in terms of objects and classes, and have inspired a huge number of formalisms in computer science. Computational Physics. description logic language OWL (Ontology Web Language) (WELTY ET AL, 2004), ... To address the problem of choosing the knowledge representation formalism and language to represent the MLP ANN, we had to consider a number of representation requirements. The logic may be different types like propositional logic, predicate logic, temporal logic, description logic etc. Description logic (DL) is a language for knowledge representation which is used to represent the terminological knowledge of an application domain in a structured and well-understood way. Logical-philosophical analysis of the usability of nominals, that are introduced by Hybrid Logic, in formal descriptions of the world is very important because nominals, as … The conceptualtaxonomy … Home Browse by Title Proceedings KR4HC'11 Mammographic knowledge representation in description logic. In particular, we introduce the description logic \(SHIQ\), which has formed the basis of several well-known ontology languages, including OWL.We argue that, without the last decade of basic research in description logics, this family of knowledge representation languages … 1. Predicate Logic. Our main contributions are characterizations, algorithms and tight complexity bounds for QBE. Languages currently used for specifying bio-ontologies fall into three kinds: vocabularies defined using natural language; object-based knowledge representation languages such as frames and UML, and languages based on predicates expressed in logic such as Description Logics. • Expert systems are designed for knowledge representation based on rules of logic called inferences. The first of these, predicate logic, involves using standard forms of logical symbolism which have been familiar to philosophers and mathematicians for many decades. Modal logic as a subject on its own started in the early twentieth century as the formal study of the philosophical notions of necessity and possibility, and this tradition is still very much alive in philosophy (Williamson 2013). After a brief introduction, we survey in this paper their application to the problems of information management, using the framework of an abstract information server equipped with several operations -- each involving one or more languages. What Are Description Logics? Introduction Syntax of Description Logics Logic-based Knowledge Representation 350 BC: roots of logic-based KR 17th century: idea to make knowledge explicit by logical computation 1930s: disillusion due to results about fundamental limits for the existence of generic algorithms adoption of computers and AI as a new area of research leads to intensi ed studies Description Logics use two types of data structures for representing knowledge viz T-Box and A-Box. Web Ontology Language Protégé (software) Christoforos Moutafis. CS 1571 Intro to AI M. Hauskrecht Knowledge-based agent • Knowledge base (KB): – Knowledge that describe facts about the world in some formal (representational) language – Domain specific • Inference engine: – A set of procedures that use the representational language The basic description logic DL presented before defines what is common to all description logics. The development of some implemented knowledge representation systems based on Description Logics and the rst applications built with such systems are then reviewed. Knowledge Representation Definition Representation schemes/formalisms Definition Knowledge. The Chambers 20th Century Dictionary provides as good a definition as any: knowledge, nol′ij, n. assured belief; that which is known; information; … In order to solve the complex problems encountered in AI, one generally needs a large amount of knowledge, and suitable mechanisms for representing and manipulating all that knowledge. Description logics (DLs) have been developed in the late 1980s and early 1990s to provide sound logical foundations for some of the semi-formal knowledge representation (KR) languages developed in AI. It can also be. Topics from: first-order logic, entailment, the resolution method, Horn clauses, procedural representations, production systems, description logics, inheritance networks, defaults and probabilities, tractable reasoning, abductive explanation, the representation of action, planning. Knowledge Representation and Description Logics Conference scheduled on June 10-11, 2021 in June 2021 in Tokyo is for the researchers, scientists, scholars, engineers, academic, scientific and university practitioners to present research activities that might want to attend events, meetings, seminars, congresses, workshops, summit, and symposiums.