LKMS – A Legal Knowledge Management System Exploiting Semantic Web Technologies

Gilardoni, Luca; Biasuzzi, Chistian; Ferraro, Massimo; Fonti, Roberto; Slavazza, Piercarlo

doi:10.1007/11574620_62

Cited by 10 publications

(4 citation statements)

References 10 publications

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“…(1) Specific KMS architecture: studies by Razmerita, Angehrn and Maedche (2003), Han and Park (2009), Zhang et al (2011), Mujadi et al (2006 and Gilardoni et al (2005) focus on the exploitation of a specific technology (ontologies or semantic web) to provide operational means to enable knowledge acquisition, storage, retrieval and reuse.…”

Section: Kms Design Methods and Guidelines: State Of The Artmentioning

confidence: 99%

A framework for the design of knowledge management systems in eco-design

Goepp

Caillaud

Rose

2013

International Journal of Production Research

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Eco-design is becoming a crucial challenge for many companies. The effective integration of environmental concerns into design is linked to the development of Knowledge Management Systems (KMS). In this context, this paper proposes a framework to support the design of KMS for eco-design. This framework consists of two complementary parts linked to the main knowledge management strategies that KMS generally support. The first part of the framework concerns codification strategy and relies on an eco-design process reference model and the related adaptation of the GAMETH ® method used to locate and evaluate crucial knowledge systematically. The second part of the framework concerns the personalisation strategy. In this paper we propose to exploit the community of practice (CoP) theory by: (1) proposing guidelines defining the structural features of CoPs and (2) adapting a tool landscape providing insight on CoP instrumentation. Both guidelines support the setting up of a specific CoP. The exploitation of the framework is illustrated on a real case study. IntroductionSustainable development is currently becoming not only a crucial social issue but also a major challenge for companies. In this context, eco-design, which aims at providing customer and business value whilst significantly decreasing environmental impacts (Jones, Stanton, and Harrison 2001), can provide a competitive advantage regarding the customers' expectations.In practice, eco-design must however not result in a longer product development process (negatively affecting the time to market) (Tukker, Haag, and Eder 2000). Moreover, the survey on which we draw also suggests that higher costs cannot be tolerated since the consumer seems unwilling to pay a significant premium for environmentally friendly products.In this sense, eco-design represents a huge challenge for many companies, which try to organise themselves in order to meet the constraints described above. One way of successfully doing so may be to design and implement specific knowledge management systems (KMS) as described in (Hesselbach, Herrmann, and Mansour 2003) and (Gunasekaran and Ngai 2007). Such systems support the creation, transfer and use of knowledge in a given organisation (Alavi and Leidner 2001). However, setting them up from scratch seems difficult, and existing methodologies and guidelines are not specifically dedicated to the eco-design field.In this context, the objective of this paper is to define generic knowledge codification and personalisation strategies for eco-design, in order to provide a complete framework for the design of KMS in this field. The paper is structured as follows. Section 2 details the eco-design concept, its success factors underlying the importance of KMS, and a review of the state of the art of the methods and guidelines dedicated to the design of such systems. Section 3 details the generic knowledge codification strategy we propose. It is based on an adaptation of the general analysis methodology called GAMETH ® (Grundstein 2009) and on a reference e...

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Section: Kms Design Methods and Guidelines: State Of The Artmentioning

confidence: 99%

A framework for the design of knowledge management systems in eco-design

Goepp

Caillaud

Rose

2013

International Journal of Production Research

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“…In another work, Gilardoni et al (2005) provided integration of keyword based search with ontology search, but with there is no capability for Boolean queries.…”

Section: Related Workmentioning

confidence: 99%

Searching and Generating Authoring Information

Aljawarneh

Alkhateeb

Maghayreh

et al. 2011

International Journal of Information Technology and Web Engineering

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In this paper, the authors propose a novel approach to search and retrieve authoring information from online authoring databases. The proposed approach combines keywords and semantic-based methods. In this approach, the user can retrieve such information considering some specified keywords and ignore how the internal semantic search is being processed. The keywords entered by the user are internally converted by the system to a semantic query that will be used to search the requested information. The authors then use (X)HTML-based templates for the automatic construction of BibTeX elements from the query results.

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“…LKMS [5] enables integration of keyword-based search and ontology-based search, but the actual functionality, the way the combination is performed, the expressive power of the formalism used and a number of details are unclear in the literature. It appears that their annotation is limited to named entities and that their form of HS reduces to searching for the presence of a concept in a document or in the metadata.…”

Section: Comparison With the State Of The Artmentioning

confidence: 99%

“…There are a number of applications and situations where coexistence of documents and metadata is actually required. One example is the legal scenario, where access to documents is the main focus and the available metadata is the means to reach a specific set of documents [5]. However it may well happen that the available metadata does not cover parts of the document that are of interest to some users because: (i) the ontology used for annotation has a different focus and does not model that part of the content or (ii) annotations can be incomplete, whether user or system provided.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Search: Effectively Combining Keywords and Semantic Searches

Bhagdev¹,

Chapman²,

Ciravegna³

et al.

Lecture Notes in Computer Science

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Abstract. This paper describes hybrid search, a search method supporting both document and knowledge retrieval via the flexible combination of ontologybased search and keyword-based matching. Hybrid search smoothly copes with lack of semantic coverage of document content, which is one of the main limitations of current semantic search methods. In this paper we define hybrid search formally, discuss its compatibility with the current semantic trends and present a reference implementation: K-Search. We then show how the method outperforms both keyword-based search and pure semantic search in terms of precision and recall in a set of experiments performed on a collection of about 18.000 technical documents. Experiments carried out with professional users show that users understand the paradigm and consider it very powerful and reliable. K-Search has been ported to two applications released at Rolls-Royce plc for searching technical documentation about jet engines.

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LKMS – A Legal Knowledge Management System Exploiting Semantic Web Technologies

Cited by 10 publications

References 10 publications

A framework for the design of knowledge management systems in eco-design

A framework for the design of knowledge management systems in eco-design

Searching and Generating Authoring Information

Hybrid Search: Effectively Combining Keywords and Semantic Searches

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