近年來(lái)，信息和通信技術(shù)的迅猛發(fā)展，使得這些領(lǐng)域的研究和開發(fā)活動(dòng)越來(lái)越跨學(xué)科。為了有效地利用廣泛網(wǎng)絡(luò)的巨大機(jī)遇，現(xiàn)代信息系統(tǒng)的設(shè)計(jì)者需要將形式語(yǔ)義的精確性與認(rèn)知透明度的需要結(jié)合起來(lái)，因?yàn)樗鼈儼嗽絹?lái)越復(fù)雜和異質(zhì)的信息內(nèi)容。最近對(duì)本體論的興趣爆發(fā)是這一趨勢(shì)的一個(gè)重要組成部分。諸如知識(shí)工程、信息系統(tǒng)建模、人工智能、形式和計(jì)算語(yǔ)言學(xué)、信息檢索、圖書館學(xué)和知識(shí)管理等學(xué)科的研究人員已經(jīng)認(rèn)識(shí)到，他們研究的堅(jiān)實(shí)基礎(chǔ)需要在本體論中進(jìn)行嚴(yán)肅的工作，被理解為一般理論。構(gòu)成其各自查詢領(lǐng)域的實(shí)體和關(guān)系的類型。在所有這些領(lǐng)域，人們的注意力已經(jīng)開始完全集中在信息的內(nèi)容上，而不僅僅集中在表示信息內(nèi)容的格式和語(yǔ)言上。應(yīng)用本體論最廣泛地關(guān)注信息內(nèi)容。正如副標(biāo)題所闡明的，我們?cè)O(shè)想了兩種廣泛的基于內(nèi)容的研究活動(dòng)：本體分析和概念建模。前者包括使用嚴(yán)格的哲學(xué)或邏輯工具研究感興趣領(lǐng)域的性質(zhì)和結(jié)構(gòu)的任何嘗試；后者涉及我們用來(lái)模擬世界的認(rèn)知和語(yǔ)言結(jié)構(gòu)，以及我們用來(lái)生成有用計(jì)算模型的各種分析工具和方法，如格式系統(tǒng)方案或知識(shí)結(jié)構(gòu)。應(yīng)用本體論是第一本在跨學(xué)科視角下明確、專攻本體分析和概念建模的期刊。它旨在通過(guò)謹(jǐn)慎地避免與學(xué)科導(dǎo)向期刊的不必要重復(fù)，在科學(xué)期刊領(lǐng)域建立一個(gè)獨(dú)特的生態(tài)位。出于這個(gè)原因，將鼓勵(lì)作者使用那些不屬于其特定專業(yè)領(lǐng)域的人也能理解的語(yǔ)言，并且審查過(guò)程將為此而量身定做。例如，鼓勵(lì)理論貢獻(xiàn)的作者展示其理論在應(yīng)用中的相關(guān)性，同時(shí)鼓勵(lì)更多技術(shù)論文的作者展示一個(gè)有根據(jù)的理論觀點(diǎn)的相關(guān)性。此外，該期刊還將發(fā)表論文，重點(diǎn)放在表達(dá)語(yǔ)言或算法上，這些語(yǔ)言或算法只能解決相關(guān)內(nèi)容問(wèn)題，無(wú)論是在實(shí)際應(yīng)用層面還是理論理解層面。同樣，只有在本體分析和概念建模的實(shí)踐中有明確的貢獻(xiàn)時(shí)，它才會(huì)發(fā)布工具或?qū)崿F(xiàn)系統(tǒng)的描述。應(yīng)用本體論旨在成為各種主題的理論和應(yīng)用研究的主要出版論壇，在研究領(lǐng)域暫時(shí)分組，其示例如下所示?；A(chǔ)問(wèn)題本體論的哲學(xué)基礎(chǔ)基本本體分類與關(guān)系本體論、認(rèn)識(shí)論和符號(hào)學(xué)專門的本體論時(shí)間、事件和過(guò)程的本體論空間地理本體論物理與物理對(duì)象的本體論生物醫(yī)學(xué)本體論精神實(shí)體的本體論代理和行為的本體論組織本體論與社會(huì)現(xiàn)實(shí)信息社會(huì)本體論商業(yè)與電子商務(wù)本體論法律本體論歷史、文化和進(jìn)化的本體論本體開發(fā)與本體驅(qū)動(dòng)的概念建模本體開發(fā)方法論本體分析對(duì)當(dāng)前建模實(shí)踐的影響最佳實(shí)踐示例和案例研究本體管理本體開發(fā)、分析和比較工具本體比較與評(píng)價(jià)本體管理、維護(hù)、版本控制本體合并、對(duì)齊和集成的方法語(yǔ)義網(wǎng)本體論與語(yǔ)言本體論與自然語(yǔ)言語(yǔ)義學(xué)本體論與詞匯資源本體論與術(shù)語(yǔ)本體學(xué)習(xí)技術(shù)及其評(píng)價(jià)本體論在自然語(yǔ)言系統(tǒng)中的作用本體論、認(rèn)知、知覺概念模式、知覺不變性和本體分類心理實(shí)驗(yàn)評(píng)價(jià)本體論范疇的認(rèn)知充分性本體論和內(nèi)容標(biāo)準(zhǔn)圖書館學(xué)知識(shí)組織博物館和文化寶庫(kù)多媒體內(nèi)容產(chǎn)品說(shuō)明流程和服務(wù)說(shuō)明生物醫(yī)學(xué)和其他科學(xué)術(shù)語(yǔ)基于本體的創(chuàng)新應(yīng)用程序摘要/索引完成學(xué)術(shù)來(lái)源美國(guó)計(jì)算機(jī)協(xié)會(huì)數(shù)字圖書館康明德DBLP書目服務(wù)器谷歌學(xué)者M(jìn)icrosoft學(xué)術(shù)搜索斯科普斯烏爾里希期刊目錄科學(xué)網(wǎng)：當(dāng)前內(nèi)容/工程科學(xué)網(wǎng)：期刊引文報(bào)告/科學(xué)版科學(xué)網(wǎng)：科學(xué)引文索引擴(kuò)展（scisearch?）

In recent years, the dramatic growth of information and communication technologies has led to an increasingly interdisciplinary approach to research and development activities in these fields. To exploit the immense opportunities of widespread networks effectively, designers of modern information systems need to combine the precision of formal semantics with the needs of cognitive transparency, as they incorporate increasingly sophisticated and heterogeneous information content. The recent explosion of interest on ontologies is an important component of this trend. Researchers in disciplines such as knowledge engineering, information systems modeling, artificial intelligence, formal and computational linguistics, information retrieval, library science, and knowledge management have come to realize that a solid foundation for their research calls for serious work in ontology, understood as a general theory of the types of entities and relations that make up their respective domains of inquiry. In all these areas, attention has started to focus squarely on the content of information, rather than on just the formats and languages used to represent that content.Applied Ontology focuses on information content in its broadest sense. As the subtitle makes clear, two broad kinds of content-based research activities are envisioned: ontological analysis and conceptual modeling. The former includes any attempt to investigate the nature and structure of a domain of interest using rigorous philosophical or logical tools; the latter concerns the cognitive and linguistic structures we use to model the world, as well as the various analysis tools and methodologies we adopt for producing useful computational models, such as information systems schemes or knowledge structures.Applied Ontology is the first journal with an explicit and exclusive focus on ontological analysis and conceptual modeling under an interdisciplinary view. It aims to establish a unique niche in the realm of scientific journals by carefully avoiding unnecessary duplication with discipline-oriented journals. For this reason, authors will be encouraged to use language that will be intelligible also to those outside their specific sector of expertise, and the review process will be tailored to this end. For example, authors of theoretical contributions will be encouraged to show the relevance of their theory for applications, while authors of more technological papers will be encouraged to show the relevance of a well-founded theoretical perspective. Moreover, the journal will publish papers focusing on representation languages or algorithms only where these address relevant content issues, whether at the level of practical application or of theoretical understanding. Similarly, it will publish descriptions of tools or implemented systems only where a contribution to the practice of ontological analysis and conceptual modeling is clearly established.Applied Ontology aims at being a major publication forum for theoretical and applied research in a variety of topics, tentatively grouped together in research areas, examples of which are indicated in the list below.Foundational issuesPhilosophical foundations of ontologyBasic ontological categories and relationsOntology, epistemology, and semioticsSpecialized ontologiesOntology of time, events and processesOntology of space and geographyOntology of physics and physical objectsOntology of biomedicineOntology of mental entitiesOntology of agents and actionsOntology of organizations and social realityOntology of the information societyOntology of business and e-commerceOntology of lawOntology of history, culture, and evolutionOntology development and ontology-driven conceptual modelingMethodologies for ontology developmentImpact of ontological analysis on current modeling practicesBest-practice examples and case studiesOntology managementTools for ontology development, analysis, and comparisonComparison and evaluation of ontologiesOntology management, maintenance, versioningMethodologies for ontology merging, alignment, and integrationSemantic WebOntology and languageOntology and natural-language semanticsOntology and lexical resourcesOntology and terminologyOntology learning techniques and their evaluationRole of ontology in natural-language systemsOntology, cognition, perceptionConceptual schemas, perceptual invariances, and ontological categorizationPsychological experiments evaluating the cognitive adequacy of ontological categoriesOntology and content standardsLibrary scienceKnowledge organizationMuseums and cultural repositoriesMultimedia contentProduct descriptionsProcess and service descriptionsBiomedical and other scientific terminologiesInnovative ontology-based applicationsAbstracted/Indexed inAcademic Source CompleteACM Digital LibraryCompendexDBLP Bibliography ServerGoogle ScholarMicrosoft Academic SearchScopusUlrich's Periodicals DirectoryWeb of Science: Current Contents/EngineeringWeb of Science: Journal Citation Reports/Science EditionWeb of Science: Science Citation Index-Expanded (SciSearch?)