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 |
Big Data Management Using Ontologies for CPQ Solutions
مدیریت داده های بزرگ با استفاده از هستی شناسی برای راه حل های CPQ-2020 In recent years, due to a progressive complexity of handling and processing business data, proper big data management has become a challenge, especially for SMEs that have limited resources for investing in the requested business transformation process. As a solution, we suggest an ontology-based CPQ software approach, where we show how the implementation of semantic technologies and ontologies affects data integration processes. We also propose a method called “ontology-based data matching”, which allows the semiautomatic generation of alignments used to formalize the coherence between ontologies. The proposed method will ensure consistency during integration, significantly improving the productivity of enterprises.© 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)Peer-review under responsibility of the scientific committee of the 5th International Conference on System-Integrated Intelligence. Keywords: CPQ | Semantic Technologies | Ontologies | Ontology Matching | Data Quality |
مقاله انگلیسی |
2 |
The Training Data Evaluation Tool: Towards a unified ontology-based solution for industrial training evaluation
ابزار ارزیابی داده های آموزشی: به سوی راه حل مبتنی بر هستی شناسی یکپارچه برای ارزیابی آموزش های صنعتی-2018 With the increasing diffusion of the Industry 4.0 paradigm, the role of industrial training is becoming more and more relevant. Thanks to new technologies and innovative business processes now available, a great amount of data can be collected from the shop floor and elaborated in order to provide a real-time evaluation of the expertise level of the workers. In this regard, the paper aims at presenting and expanding the Training Data Evaluation Tool previously developed by the authors. Results achieved pave the way towards the final deployment of the Training Evaluation suite of Ontologies through an integrated software stack using semantic technologies for knowledge management along with a Training Analytics Model. Integration tests of the used technologies have been carried out using real industrial data showing the feasibility and robustness of the proposed solution.
Keywords : Industry 4.0 ، Ontology ، Training ، Skill ، Evaluation |
مقاله انگلیسی |
3 |
An architecture for aggregating information from distributed data nodes for industrial internet of things
یک معماری برای جمع آوری اطلاعات از گره های داده توزیع شده برای اینترنت اشیاء صنعتی -2017 The current Internet of Things (IoT) has made it very convenient to obtain information
about a product from a single data node. However, in many industrial applications, in
formation about a single product can be distributed in multiple different data nodes, and
aggregating the information from these nodes has become a common task. In this paper,
we provide a distributed service-oriented architecture for this task. In this architecture,
each manufacturer provides service for their own products, and data nodes keep the infor
mation collected by themselves. Semantic technologies are adopted to handle problems of
heterogeneity and serve as the foundation to support different applications. Finally, as an
example, we illustrate the use of this architecture to solve the problem of product tracing.
Keywords: Information aggregation | Product tracing | Industrial internet of things | Semantics | Ontology | Internet of things |
مقاله انگلیسی |
4 |
An associative engines based approach supporting collaborative analytics in the Internet of cultural things
یک رویکرد مبتنی بر موتورهای انجمنی رای پشتیبانی از تجزیه و تحلیل مشارکتی در اینترنت اشیا فرهنگی-2017 In this paper we illustrate an integrated approach combining Business Intelligence, Big Data and Internet
of Things (IoT), which is applied to information resources including structured and unstructured contents,
Geo-Spatial and Social Network data, Multimedia (MM), multiple domain vocabularies, classifiers
and ontologies. This is implemented in an information system which exploits Associative in-memory
technologies in the context of Cloud Computing, as well as Semantic technologies for merging and
analyzing information coming from heterogeneous sources. The primary aim is supporting Cultural
Heritage Asset crowdsourcing, promotion, publication, management and usage. We describe and discuss,
in particular, the application of this system for the analysis of behavior and interest of visitors in different
types of populations and visits: on-site/ad-hoc (exhibitions, museums, cultural events) and territorial
(historical downtown, archaeological or other touristic areas and routes including cultural resources).
In this way it will be possible to provide a common ICT infrastructure and a set of advanced services
for all types of subjects interested in the Cultural Heritage domain. The results of the experimentation
encourage a Business Intelligence approach which is suitable for both nonprofit, research and business
oriented organizations.
Keywords: Cultural Heritage | Big Data | Business Intelligence | Internet of Things | Semantic technologies | Social networks |
مقاله انگلیسی |
5 |
Semantic Reasoning for Context-Aware Internet of Things Applications
استدلال معنایی برای برنامه های کاربردی متن-آگاه اینترنت اشیاء -2017 Acquiring knowledge from continuous and
heterogeneous data streams is a prerequisite for Internet
of Things (IoT) applications. Semantic technologies provide
comprehensive tools and applicable methods for representing,
integrating, and acquiring knowledge. However, resourceconstraints, dynamics, mobility, scalability, and real-time
requirements introduce challenges for applying these methods
in IoT environments. We study how to utilize semantic IoT
data for reasoning of actionable knowledge by applying stateof-the-art semantic technologies. For performing these studies,
we have developed a semantic reasoning system operating in
a realistic IoT environment. We evaluate the scalability of
different reasoning approaches, including a single reasoner,
distributed reasoners, mobile reasoners, and a hybrid of them.
We evaluate latencies of reasoning introduced by different
semantic data formats. We verify the capabilities of promising
semantic technologies for IoT applications through comparing
the scalability and real-time response of different reasoning
approaches with various semantic data formats. Moreover, we
evaluate different data aggregation strategies for integrating
distributed IoT data for reasoning processes.
Index Terms: Internet of Things (IoT) | knowledge repre sentations | reasoning | resource description framework (RDF) | semantic technologies |
مقاله انگلیسی |
6 |
يكپارچه سازي داده ها مبتني بر آنتولوژي در Epnet : توليد و توزيع مواد غذايي در طول امپراطوري روم
سال انتشار: 2016 - تعداد صفحات فایل pdf انگلیسی: 18 - تعداد صفحات فایل doc فارسی: 54 تكنولوژي هاي معنايي به سرعت تحقيقات تاريخي را تغيير مي دهد. در طول دهه هاي اخير ، مقادير عظيمي از داده هاي قابل سنجش جديد جمع شده اند و در فرمت هاي بابل تعويض در دسترس هستند: در علوم اجتماعي و انساني ، امكانات جديدي براي حل سوالات قديمي و قرار دادن موارد جديد. اين مقاله چارچوبي براي دستيابي دانشمندان به داده هاي تاريخي و فرهنگي در مورد توليد مواد غذايي و سيستم تجارت بازرگاني در طول امپراطوري روم را آسان مي كند كه در سراسر منابع داده ي مختلف توزيع شده است. روش ارائه شده بر اساس الگوي دستيابي داده ي مبتني بر هستي شناسي(OBDA) است كه ديتاست هاي مختلف توسط لايه هاي مفهومي ( يك هستي شناسي) به صورت مجازي با هم تركيب مي شوند تا براي كاربر يك نقطه ي واضحي از دستيابي نظر مفهومي واحد بدون ابهام را فراهم كنند.
كلمات كليدي: فرهنگ –E | دستيابي داده بر اساس هستي شناسي | EPNET | Ontop | يكپارچگي داده بر اساس هستي شناسي | بازيايي دانش و استدلال |
مقاله ترجمه شده |
7 |
A Comprehensive Semantic Model for Smart Object Description and Request Resolution in the Internet of Things
یک مدل معنایی جامع برای توضیح و درخواست اشیا هوشمند در اینترنت اشیاء-2016 The Internet of Things is a natural continuity of the Ambient Intelligence where smart and ambient environments are built by
integrating a large number of interconnected smart objects with heterogeneous capabilities abstracted as software services. The
aim is to design cross-domain applications that compose and select most relevant services, which best match user requirements
and closely meet the specified quality-of-service level. However, semantic description and representation of such smart devices,
including their hosted services and their provided real world data, is still a challenging issue. Semantic Web technologies are seen
as a promising tool for this purpose. Indeed, applying these technologies in the Internet of Things enables smart objects to
efficiently share their data, exchange their services and cooperate to better satisfy both functional and non-functional user
requirements. In this paper, we propose a new semantic model for smart objects description and users request resolution using
ontological techniques combined with description logics. Such a model facilitates intelligent functions, including reasoning over
service data and semantic interoperability enabling among devices. A case study for smart environment monitoring has been
proposed to illustrate the effectiveness and usability of our approach.
Keywords: Internet of Things | Ambient Intelligence | Smart Environments | Semantic Model | Service and Device Description | Description Logics | Semantic Web Technologies | Ontology | QoS Evaluation | Request Description | Request Resolution |
مقاله انگلیسی |
8 |
A More Human-centric Internet of Things with Temporal and Spatial Context
اینترنت اشیاء انسان محور با زمینه های زمانی و فضایی-2016 As the Internet of Things evolves, attention has been paid to adding intelligence capabilities, some of them via semantic tech
nologies. However, many of these developments are still too device-centric and more needs to be done to make the IoT more
people-centric. One important aspect in this direction is supporting spatial constructs that are meaningful to humans. We present
the OpenThings platform as a basis to provide meaning via semantic technologies and demonstrate how it can be used to build
environments that take into account a human-centered view of temporal and spatial context. We exemplify this by building a
prototype for a system that supports proxemic interactions and time awareness.
Keywords: internet of things | human-centric | spatial context | temporal context | proxemics |
مقاله انگلیسی |