Semantic File System Research Articles

The Design and Development of a Semantic File System Ontology

The Design and Development of a Semantic File System Ontology

The Design and Development of a Semantic File System Ontology

Semantic File System (SFS) is the vision for the future of file systems where information is given with explicit meaning to be processed by machines automatically and consumed by the users easily. SFSs extend traditional file systems to organize and retrieve information according to their semantics, intent and relationships with other resources rather than their physical locations. Ontology-based file system is a step to dissolve the borders between semantic web and semantic desktop to make the desktop part of a single giant web. Unfortunately, to the best of the authors’ current knowledge, so far, no effort has been exercised to develop an ontology for SFSs. This work contributes a SFS ontology, which extends NEPOMUK information element ontology framework into the domain of SFSs. The proposed SFS ontology is freely available with full technical definitions of terms and complete class hierarchy to be used for any purpose in information technology (IT). In addition, as a proof-of-concept implementation, we deploy the proposed ontology in the 360ᵒ SFS. Finally, to get most of the benefits of the ontology, this paper also presents a semantics-aware file manager.

A Semantic Association Hardware Acceleration System for Integrated Product Data Management

Many modern products are complex systems comprised of highly integrated mechanical, electrical, electronic, and software components, which are commonly known as mechatronic systems. Similarly, product data and life-cycle management systems that support the engineering and design of mechatronic systems are becoming complex and need to store, retrieve, and process vast amounts of files associated with mechatronic products. For many years, software developers and computer architects have benefited by continuous increases in computational performance, as predicted by Moore's law. However, issues such as extreme power consumption have begun to limit certain types of performance increases such as hardware clock rates. In an effort to find new ways to increase computational performance, engineers and computer scientists have been investigating new techniques such as hardware acceleration systems, reconfigurable computing, and heterogeneous computing (HC). In light of these emerging computational paradigms, this paper introduces a semantic association hardware acceleration system for integrated product data management (PDM) based on semantic file systems. The concept of semantic path merger (SPM) is described along with a discussion of its realization as a hardware-based associative memory for accelerated semantic file retrieval. The energy and retrieval performance metrics of the proposed hardware system is given along with its comparative analysis with the industry standard content addressable memory (CAM). The goal of the proposed system is to enhance the state-of-art for the field of heterogeneous computing within the scope of computational platforms for design and engineering applications.

A semantic file system for integrated product data management

A mechatronic system is a synergistic integration of mechanical, electrical, electronic and software technologies into electromechanical systems. Unfortunately, mechanical, electrical, and software data are often handled in separate Product Data Management (PDM) systems with no automated sharing of data between them or links between their data. Presently, this is a significant drawback with regard to supporting the collaborative and integrated design of mechatronic systems. One underlying research question to be addressed is: “ How can such domain-specific PDM systems be integrated and what are the standards needed for this?” Our starting point for addressing this question is to look into how engineering data is stored today. We believe that the more intelligent and sophisticated the mechanisms for file management are, the more Computer-aided Engineering systems will benefit from them in terms of making integrated cross-disciplinary product development more efficient. However, while Computer-Aided Design and Engineering (CAD/CAE) systems and related tools such as, for example, Product Data Management (PDM), Engineering Data Management (EDM), etc. have significantly matured over the past ten years, most of their associated database systems are still based on traditional file systems and hierarchical directory structures. In light of this context, we will initially discuss a number of disadvantages of current file management systems. In the body of the paper our main contribution is presented. That is, a formal mathematical model of a new semantic file system, SIL ( Semantics Instead of Location), that allows engineers to access data based on semantic information rather than storage location is proposed. A major difference between our approach and previous related work is that we do not aim at yet another point solution and, instead, propose an approach that may be employed by next generation engineering data processing systems on a larger scale. In addition, a corresponding programming interface along with a graphical user interface used as a file browser is presented and the benefits of utilizing the proposed semantic file system for product data management in the field of integrated design of mechatronic systems are discussed.

Files are Siles

With the increasing storage capacity of personal computing devices, the problems of information overload and information fragmentation are apparent on users’ desktops. For the Web, semantic technologies solve this problem by adding a machine-interpretable information layer on top of existing resources. It has been shown that the application of these technologies to desktop environments is helpful for end users. However, certain characteristics of the Semantic Web architecture that are commonly accepted in the Web context are not desirable for desktops. To overcome these limitations, the authors propose the sile model, which combines characteristics of the Semantic Web and file systems. This model is a conceptual foundation for the Semantic Desktop and serves as underlying infrastructure on which applications and further services can be built. The authors present one service, a virtual file system based on siles, which allows users to semantically annotate files and directories and keeps full compatibility to traditional hierarchical file systems. The authors also discuss how Semantic Web vocabularies can be applied for meaningful annotation of files and present a prototypical implementation of the model and analyze the performance of typical access operations, both on the file system and metadata level.

Internet resource discovery services

An overview of resource discovery services currently available on the Internet is presented. The authors concentrate on the following discovery tools: the Wide Area Information Servers (WAIS) project, Archie, Prospero, Gopher. The World-Wide Web (WWW), Netfind, the X.500 directory, Indie, the Knowbot Information Service (KIS), Alex, Semantic File Systems, and Nomenclator. The authors summarize the surveyed tools by presenting a taxonomy of their characteristics and design decisions. They also describe where to find and how to access several of the surveyed discovery services. They conclude with a discussion of future directions in the area of resource discovery and retrieval. >

Semantic file systems

A semantic file system is an information storage system that provides flexible associative access to the system's contents by automatically extracting attributes from files with file type specific transducers . Associative access is provided by a conservative extension to existing tree-structured file system protocols, and by protocols that are designed specifically for content based access. Compatiblity with existing file system protocols is provided by introducing the concept of a virtual directory . Virtual directory names are interpreted as queries, and thus provide flexible associative access to files and directories in a manner compatible with existing software. Rapid attribute-based access to file system contents is implemented by automatic extraction and indexing of key properties of file system objects. The automatic indexing of files and directories is called "semantic" because user programmable transducers use information about the semantics of updated file system objects to extract the properties for indexing. Experimental results from a semantic file system implementation support the thesis that semantic file systems present a more effective storage abstraction than do traditional tree structured file systems for information sharing and command level programming.