با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Legal ontologies over time: A systematic mapping study
هستی شناسی های قانونی با گذشت زمان: یک مطالعه نگاشت سیستماتیک-2019 Over the last 30 years, AI & Law has provided breakthroughs in studies involving case-based reasoning, rule-based reasoning, information retrieval and, most recently, conceptual models for knowledge repre- sentation and reasoning, known as Legal Ontologies. Ontologies have been widely used by legal prac- titioners, scholars, and lay people in a variety of situations, such as simulating legal actions, semantic search and indexing, and to keep up-to-date with the continual change of laws and regulations. Given the high number of legal ontologies produced, the need to summarize this research realm through a well-defined methodological procedure is urgent need. This study presents the results of a systematic mapping of the literature, aiming at categorizing legal ontologies along certain dimensions, such as pur- pose, level of generality, underlying legal theories, among other aspects. The reasons to carry out a sys- tematic mapping are twofold: in addition to explaining the maturation of the area over recent decades, it helps to avoid the old problem of reinventing the wheel. Through organizing and classifying what has already been produced, it is possible to realize that the development of legal ontologies can rise to the level of reusability where prefabricated models might be coupled with new and more complex ontologies for practical law. Keywords: Legal ontology| Systematic mapping study | Legal expert system | Legal theory | Semantic web |
مقاله انگلیسی |
2 |
Legal ontologies over time: A systematic mapping study
هستی شناسی های قانونی با گذشت زمان: یک مطالعه نگاشت منظم-2019 Over the last 30 years, AI & Law has provided breakthroughs in studies involving case-based reasoning, rule-based reasoning, information retrieval and, most recently, conceptual models for knowledge repre- sentation and reasoning, known as Legal Ontologies. Ontologies have been widely used by legal prac- titioners, scholars, and lay people in a variety of situations, such as simulating legal actions, semantic search and indexing, and to keep up-to-date with the continual change of laws and regulations. Given the high number of legal ontologies produced, the need to summarize this research realm through a well-defined methodological procedure is urgent need. This study presents the results of a systematic mapping of the literature, aiming at categorizing legal ontologies along certain dimensions, such as pur- pose, level of generality, underlying legal theories, among other aspects. The reasons to carry out a sys- tematic mapping are twofold: in addition to explaining the maturation of the area over recent decades, it helps to avoid the old problem of reinventing the wheel. Through organizing and classifying what has already been produced, it is possible to realize that the development of legal ontologies can rise to the level of reusability where prefabricated models might be coupled with new and more complex ontologies for practical law. Keywords: Legal ontology | Systematic mapping study | Legal expert system | Legal theory | Semantic web |
مقاله انگلیسی |
3 |
Ontology-Based Web Service Architecture for Retail Supply Chain Management
هستی شناسی مبتنی بر معماری-وب سرویس برای مدیریت زنجیره تامین خرده فروشی-2018 Service-oriented computing (SOC) technologies provide numerous opportunities and value-added service capabilities that global
retail business requires to remain competitive in the market. Initiative to semantic web service provision is playing a crucial role
to realize the possibility of heterogenous information systems integration in supply chain. The ability to dynamically discover
and invoke a web service is an important aspects of semantic web service-based architecture. An essential part of the service
discovery process is the ontology-based semantic web service matchmaking algorithm. This paper presents the key features of an
improved matchmaking algorithm to calculate the similarity between concepts on ontology for semantic web service. The
matchmaking is taking place in the context of OWL-S (Ontology Web Language for Services) based retail sales management.
The paper describes the Semantic Web Service Architecture-II (SWSA-II), which uses a hybrid knowledge-based system; and it
consists of Structural Case-Based Reasoning (S-CBR), Rule-Based Reasoning (RBR), and an ontological concept similarity
assessment algorithm. Finally, a business scenario is used to demonstrate the functionality of the algorithm.
Keywords: Retail Supply Chain; Service Oriented Computing; Semantic Web Services; Case-Based Reasoning; Rule-Based Reasoning; Ontology Matchmaking Algorithm |
مقاله انگلیسی |