Harvesting Wiki Consensus: Using Wikipedia Entries as Vocabulary for Knowledge Management

Hepp, Martin; Siorpaes, Katharina; Bachlechner, Daniel

doi:10.1109/mic.2007.110

Cited by 105 publications

(51 citation statements)

References 10 publications

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“…The concept of IoT was firstly proposed in 1999 (Li et al 2014c) and the exact definition is still subjective to different perspectives taken (Hepp et al 2007;ITU 2013;Li et al 2014c;Pretz 2013). The IoT is believed to be the future Internet for the new generation, which integrates various ranges of technologies, including sensory, F o r P e e r R e v i e w communication, networking, service-oriented architecture, and intelligent information processing technologies (Council 2008;Li et al 2014c;Lim et al 2013).…”

Section: Overviewmentioning

confidence: 99%

The Internet of Things: a security point of view

2016

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Purpose – The purpose of this paper is to provide an in-depth overview of the security requirements and challenges for Internet of Things (IoT) and discuss security solutions for various enabling technologies and implications to various applications. Design/methodology/approach – Security requirements and solutions are analysed based on a four-layer framework of IoT on sensing layer, network layer, service layer, and application layer. The cross-layer threats are analysed followed by the security discussion for the enabling technologies including identification and tracking technologies, WSN and RFID, communication, networks, and service management. Findings – IoT calls for new security infrastructure based on the new technical standards. As a consequence, new security design for IoT shall pay attention to these new standards. Security at both the physical devices and service-applications is critical to the operation of IoT, which is indispensable for the success of IoT. Open problems remain in a number of areas, such as security and privacy protection, network protocols, standardization, identity management, trusted architecture, etc. Practical implications – The implications to various applications including supervisory control and data acquisition, enterprise systems, social IoT are discussed. The paper will serve as a starting point for future IoT security design and management. The security strategies for IoT should be carefully designed by managing the tradeoffs among security, privacy, and utility to provide security in multi-layer architecture of IoT. Originality/value – The paper synthesizes the current security requirements for IoT and provides a clear framework of security infrastructure based on four layers. Accordingly, the security requirements and potential threats in the four-layer architecture are provided in terms of general devices security, communication security, network security, and application security.

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Section: Overviewmentioning

confidence: 99%

The Internet of Things: a security point of view

2016

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“…Similarly, inconsistencies can be discovered and resolved faster. In [4], we provide evidence for the assumption that a community can be trusted with the task of building lightweight ontologies by showing that the conceptual reliability of Wikipedia articles is very high (93% of URIs convey a stable ontological meaning, even though Wikipedia is maintained by a highly diverse group of actors).…”

Section: Motivationmentioning

confidence: 96%

Lightweight Community-Driven Ontology Evolution

Siorpaes

2007

The Semantic Web

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Abstract. Only few well-maintained domain ontologies can be found on the Web. The likely reasons for the lack of useful domain ontologies include that (1) informal means to convey intended meaning more efficiently are used for ontology specification only to a very limited extent, (2) many relevant domains of discourse show a substantial degree of conceptual dynamics, (3) ontology representation languages are hard to understand for the majority of (potential) ontology users and domain experts, and (4) the community does not have control over the ontology evolution. In this thesis, we propose to (1) ground a methodology for community-grounded ontology building on the culture and philosophy of wikis by giving users who have no or little expertise in ontology engineering the opportunity to contribute in all stages of the ontology lifecycle and (2) exploit the combination of human and computational intelligence to discover and resolve inconsistencies and align lightweight domain ontologies. The contribution of this thesis is a methodology and prototype for communitygrounded building and evolution of lightweight domain ontologies. Problem StatementEven though one can observe highly active research in the areas of ontologies and the Semantic Web, there is a lack of up-to-date domain ontologies for many fields. The complexity of reality makes building ontologies difficult in several ways: (1) Ontology engineering methodologies tend to focus on formal means for specifying ontologies. However, in order to describe the intended meaning of ontology elements, informal means are also needed. (2) Many relevant domains of discourse, such as ecommerce, show a high degree of conceptual dynamics, i.e. it is hard to keep up with the pace of change in reality [1]. (3) A prerequisite for using an ontology and thus committing to its view of the world is to be able to understand the meaning of concepts and relations [1]. This is problematic for many users, since they cannot easily figure out what they would be committing to when using a particular ontology file from the Web, as the discourse that lead to a certain specification is not available. (4) Most ontologies are built by a group of engineers and the user community does not have direct control over the evolution of the ontology. MotivationA community-oriented approach has several advantages as compared to an isolated engineering-oriented approach, where a small group of engineers carefully constructs

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“…In order to reduce noise, each property value indicating structural information of an article is treated as a whole and the similarity for the category suggestion is Exact Similarity, denoted by Sim ex (v q , v r ), where v q and v r are corresponding property values (either literal or resource values) of the query and resource graph, respectively. This similarity is defined in Equation (2).…”

Section: Similarity Measurementsmentioning

confidence: 99%

“…For example, [2] proved that the URIs of Wikipedia articles are surprisingly reliable identifiers for ontology elements; [9] extracted topics and their semantic relations from Wikipedia; [1] presented an experiment to automatically annotate several semantic relationships in Wikipedia; [4] extended Wikipedia with typed links; [10] discovered that links in Wikipedia could provide useful training examples for a named entity disambiguator; [3] presented measures for automatic filtering of strong semantic connections between Wikipedia categories; and [7] provided an extension to be integrated in Wikipedia that allows the typing of links between articles and the specification of typed data inside the articles in an easy-to-use manner. Our work is mainly motivated by [12] and [13], which pointed out that Wikipedia's authoring interface was not so convenient and smart as had been declared and that Wikipedia only had a relatively regular and small number of community members to take charge of most revision work.…”

Section: Related Workmentioning

confidence: 99%

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Making More Wikipedians: Facilitating Semantics Reuse for Wikipedia Authoring

Wang

Zhu

et al. 2007

The Semantic Web

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Abstract. Wikipedia, a killer application in Web 2.0, has embraced the power of collaborative editing to harness collective intelligence. It can also serve as an ideal Semantic Web data source due to its abundance, influence, high quality and well-structuring. However, the heavy burden of up-building and maintaining such an enormous and ever-growing online encyclopedic knowledge base still rests on a very small group of people. Many casual users may still feel difficulties in writing high quality Wikipedia articles. In this paper, we use RDF graphs to model the key elements in Wikipedia authoring, and propose an integrated solution to make Wikipedia authoring easier based on RDF graph matching, expecting making more Wikipedians. Our solution facilitates semantics reuse and provides users with: 1) a link suggestion module that suggests and auto-completes internal links between Wikipedia articles for the user; 2) a category suggestion module that helps the user place her articles in correct categories. A prototype system is implemented and experimental results show significant improvements over existing solutions to link and category suggestion tasks. The proposed enhancements can be applied to attract more contributors and relieve the burden of professional editors, thus enhancing the current Wikipedia to make it an even better Semantic Web data source.

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Harvesting Wiki Consensus: Using Wikipedia Entries as Vocabulary for Knowledge Management

Cited by 105 publications

References 10 publications

The Internet of Things: a security point of view

The Internet of Things: a security point of view

Lightweight Community-Driven Ontology Evolution

Making More Wikipedians: Facilitating Semantics Reuse for Wikipedia Authoring

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