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ONTOLOGY-DRIVEN SEMI-SUPERVISED MODEL FOR CONCEPTUAL ANALYSIS OF DESIGN SPECIFICATIONS

Abstract Details

2014, Master of Sciences (Engineering), Case Western Reserve University, EECS - Computer Engineering.
The integration of reusable IP blocks/cores is a common process in system-on-chip design and involves manually comparing/mapping IP specifications against system requirements. The informal nature of specification limits its automatic analysis. Ex- isting techniques fail to utilize the underlying conceptual information embedded in specifications. In this thesis, we present a methodology for specification analysis, which involves concept mining of specifications to generate domain ontologies. We employ a semi-supervised model with semantic analysis capability to create a col- laborative framework for cumulative knowledge acquisition. Our system then uses the generated ontologies to perform component retrieval and spec comparisons. We demonstrate our approach by evaluating several IP specifications.
Christos Papachristou (Advisor)
78 p.

Recommended Citations

Citations

  • Shankar, A. (2014). ONTOLOGY-DRIVEN SEMI-SUPERVISED MODEL FOR CONCEPTUAL ANALYSIS OF DESIGN SPECIFICATIONS [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1401706747

    APA Style (7th edition)

  • Shankar, Arunprasath. ONTOLOGY-DRIVEN SEMI-SUPERVISED MODEL FOR CONCEPTUAL ANALYSIS OF DESIGN SPECIFICATIONS. 2014. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1401706747.

    MLA Style (8th edition)

  • Shankar, Arunprasath. "ONTOLOGY-DRIVEN SEMI-SUPERVISED MODEL FOR CONCEPTUAL ANALYSIS OF DESIGN SPECIFICATIONS." Master's thesis, Case Western Reserve University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1401706747

    Chicago Manual of Style (17th edition)