臺灣博碩士論文加值系統

隨著資訊應用在企業經營上的重要性逐漸提高，各行各業也將資訊導入系統之中，
為的是能將顧客、商品、廠商作為統計分析的因子，提升管理與經營策略的指標。因此
在屬於服務業的最前線 POS 系統( point of sale，銷售時點情報系統）便開始廣泛應用在
零售業、餐飲業、旅館等行業，業者透過此系統來收集客源與販售資訊，更搭配後台的
ERP 系統( Enterprise Resource Planning，企業資源規劃系統 )將有效管理營運與提升經
營效率，可以說是現代零售業界經營上不可或缺的必要工具。
由於 POS 系統的導入，需要廠商與受導入端的配合，往往從幾次的教育訓練，
到客服溝通與處理皆需要一段時間的磨合，也造成客服需求的工作量相對增加；因此如
果能以智慧搜尋的方式提供受導入 POS 端的問題解決，可以在第一時間內或是無客服
時段，協助業者解決問題，也讓 POS 廠商先過濾掉一些基本問題處理。
語意網（Semantic Web）是 Web 3.0 時代的應用，它除了保留了 Web 2.0 的標籤、
微格式（micro formats）等特性，也提供了更多的功能架構。希望能藉由語意網的智慧
搜尋功能，輔助 POS 導入過程中，讓使用者獲得到他所想要的相關知識，讓廠商和使
用者達到雙贏的方式。因此本研究是透過語意網的方式，建立一套 POS 學習模組，建
立查詢、推理機制，提升使用者搜尋精準度，以縮小搜尋範圍。透過本體建立模組建立
本體關係架構，儲存於 RDF 資料庫中，以利 POS 問題處理之查詢使用。

With the importance of information use in the business management, all enterprises will
also apply some kind of information system for business trading. It can let customers,
products and vendors be able to make statistics and analyze and to promote management and
business strategy. For this reason, the POS systems (point of sale, point of sale system)begin
to be widely used in the retail , catering , hotels and other industries. The industry through this
system to collect sales information and go with ERP system to manage the operations
effectively and enhance operational efficiency, It is an indispensable tool in the modern retail
industry.
Since the introduction of the POS system into the industry, it need the contractor and
customers to work in coordination, usually through a few times to get acquaintance with
system operation and to understand each other, it made the service hard and spend a lot of
time. Therefore，we design this system to provide way of smart search to help customer to
solve problems of POS operation without service personnel in the first time, and help the
contractor to filter the basic POS questions.
The Semantic Web, can call it Web 3.0, reserving the properties of label and
micro-format for Web 2.0, and also provides a more functional structure. We hope to use the
smart search function of semantic web to assist the POS into the retail trade, allowing users to
gain knowledge of what he wants to know about POS system. It gives the users and contractor
to achieve a win-win approach. This study is the application of adopting Semantic Web
scheme, to establish a POS module for problems retrieval, establishing a way of query and
inference mechanism to improve the accuracy of user search results and to narrow the scope
of search. Through the establishment of POS ontology, we establish the relationship between
the body structure of the module, and stored POS knowledge in RDF database to facilitate the
processing of queries for people who want to facilitate a POS system

摘要 ............................................................................................................................... i
Abstract ....................................................................................................................... ii
誌 謝 ......................................................................................................................... iii
目 次 ..................................................................................................................... iv
表目錄 ......................................................................................................................... vi
圖目錄 ........................................................................................................................ vii
第一章 緒論.................................................................................................................1
1.1 研究背景 ....................................................................................................1
1.2 研究動機 ....................................................................................................2
1.3 研究目的 ....................................................................................................2
1.4 研究架構 ....................................................................................................3
第二章 文獻探討 .........................................................................................................5
2.1 語意網(Semantic Web) ...............................................................................5
2.2 本體論(Web Ontology Language) ..............................................................9
2.3 OWL ..........................................................................................................9
2.4 RDF .......................................................................................................... 11
第三章 研究方法 ...................................................................................................... 13
3.1 系統架構 .................................................................................................. 13
3.2 系統規劃 .................................................................................................. 14
3.2.1 語意搜尋元件(Semantic Search Component) ............................... 15
3.2.2 前端語意分析處理子系統(Front-End Semantic Analysis
Processing Subsystem) ................................................................................. 15
3.2.2.1 語意分析模組(Semantic Analysis Module) .................................. 15
3.2.2.2 查詢元件 Query Component (SPARQL) ...................................... 17
3.2.3 推理引擎 Inference Engine (Jena) ................................................ 18
3.2.4 本體資料維護元件 Ontology Data Maintenance Component ....... 18
3.2.5 本體資料庫 Ontology Database ................................................... 18
3.3 系統運作流程 .......................................................................................... 19
第四章 系統實作 ...................................................................................................... 21
4.1 系統開發環境 .......................................................................................... 21
4.2 知識本體建置 .......................................................................................... 22
4.3 語句分析與關鍵字提取 ........................................................................... 32
4.4 SPARQL 語法查詢 .................................................................................. 36v
4.5 Jena 推理模組 .......................................................................................... 42
4.6 使用者查詢介面 ...................................................................................... 43
第五章 系統分析與比較 .......................................................................................... 49
第六章 結論.............................................................................................................. 52
參考文獻 ................................................................................................................... 54
附錄 A POS 操作說明本體 ..................................................................................... 57

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