Expert Knowledge Ontology-based Semantic Search (EKOSS) System

An Expert Knowledge Ontology-based Semantic Search (EKOSS) System is a Web-based Semantic Ontology Search System that supports computer-aided sharing, discovery and integration of knowledge resources.

• AKA: Engineering or Environmental Knowledge Ontology-based Semantic Search.
• Context:
  • It was developed by Kraines et al., 2006.
  • …
• Example(s):
  • …
• Counter-Example(s):
  • BioSearch (Hu et al., 2017)
  • SemEHR (Wu et al.,2018),
  • SemSearch (Lei et al., 2006);
  • Squiggle (Celino et al., 2006)
  • Open Semantic Search,
• See: Semantic Search System, Semantic Web, Ontology Search System, Natural Language Processing, Search System.

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References

2010

• (Kraines & Guo, 2010) ⇒ Steven B. Kraines, and Weisen Guo. (2010). “Supporting Reuse of Knowledge of Failures through Ontology-based Semantic Search.” In: Proceedings of the International Conference on Knowledge Management and Information Sharing (KMIS-2010). ISBN: 978-989-8425-30-0 doi:10.5220/0003068001640169
  • QUOTE: EKOSS (expert knowledge ontology-based semantic search) is a Web-based system for supporting the computer-aided sharing, discovery and integration of knowledge resources (Kraines et al., 2006a). Building on the premise that knowledge sharing and discovery could benefit greatly if human creators of knowledge resources created computer-interpretable descriptors of those resources (Gerstein et al., 2007; Marcondes, 2004), EKOSS provides knowledge creators with tools enabling them to easily construct computer-understandable descriptors, which we call “semantic statements”, that describe their resources using ontologies based on description logics (DL) as knowledge representation languages. The semantic statement authoring tools incorporate several automatic support functions such as NLP of the source text in order to reduce the cognitive overhead for the human authors. EKOSS then uses the semantic statements to provide knowledge-intensive services such as semantic search and knowledge mining.

2006

• (Kraines et al., 2006) ⇒ Steven Kraines, Weisen Guo, Brian Kemper, and Yutaka Nakamura. (2006). “EKOSS: A Knowledge-User Centered Approach to Knowledge Sharing, Discovery, and Integration on the Semantic Web.” In: Proceedings of International Semantic Web Conference (ISWC 2006 ). ISBN:978-3-540-49029-6 doi:10.1007/11926078_60
  • QUOTE: We report an approach and software implementation, called EKOSS for expert knowledge ontology-based semantic search to support knowledge sharing by using semantic web technologies. EKOSS takes the approach of enabling the knowledge creators to construct semantic descriptions of their knowledge that are better suited for computer-based processing and matching. In this paper, we describe the basic approach and architecture of the EKOSS system.(...)

     

    

    Fig. 2. the four level architecture for knowledge sharing, discovery and integration proposed by the authors.

    The EKOSS system is intended to implement the second level of this framework. Specifically, the EKOSS system provides a web-accessible knowledge sharing platform with the following features:

    • an ontology browser for examining the available ontologies and supporting dialogue concerning ontology development.
    • a personal repository of Knowledge Projects that contain semantic descriptions and queries for representing specific expert knowledge of a user,
    • a personal repository of Search Projects that contain semantic descriptions and queries that represent knowledge interests or requirements of a user,
    • a semantic search engine based on the RacerPro DL reasoner with extensions for rule-based reasoning and datatype reasoning.

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