MS最新文献

{"title":"Relationship web: realizing the Memex vision with the help of semantic web","authors":"A. Sheth","doi":"10.1145/1290067.1290068","DOIUrl":"https://doi.org/10.1145/1290067.1290068","url":null,"abstract":"Relationship Web takes us from \"which document\" could have information I need to \"what's in the resources\" that gives me the insight and knowledge I need for decision making. Dr. Vannevar Bush outlined his vision for Memex in a 1945 Atlantic Monthly article [1]. Describing how the human brain navigates an information space in what he called trailblazing, Dr. Bush said, \"It operates by association. With one item in its grasp, it snaps instantly to the next that is suggested by the association of thoughts, in accordance with some intricate web of trails carried by the cells of the brain.\" Now that we can label content to associate semantics (meaning) to data and build information processing in which relationships rather than keywords and entities play the central role, the possibility of realizing the Memex vision seems tantalizingly close. Although through much of the recent past attention has been on search, finding a document is seldom the end goal of a human activity. Aligned with the Memex vision, human need for information is related to a desire and need for information processing that goes well beyond delivering a list of documents that matches the keywords or even the implied intent. Human information seeking is likely to be driven by more demanding activities such as interaction and entertainment, finding associations and answers, performing analysis, gaining insights, or making decisions. The Memex vision provides an interesting paradigm for supporting these objectives. Changing the computing paradigm to one that focuses on relationships is the key to realizing the Memex vision. We term our realization of Memex Relationship Web. In past work we observed the changing focus from documents to entities to relationships. We also investigated a broad variety of issues related to modeling, validating, discovering, and exploiting the many types of relationships between entities in content [2]. The first result of these efforts was the concept of Metadata Reference Links (MREFs), which proposed associating semantic metadata with hypertext links [3]. MREF faced several limitations, but recent significant advances resulting from research, standards, and technology development associated with Semantic Web provide building blocks for realizing the Relationship Web. We outline below some recent relationship-centric research to which we have had the opportunity to contribute, at the same time acknowledging extensive work in each area by many researchers and practitioners.","PeriodicalId":82053,"journal":{"name":"MS","volume":"20 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2007-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80054374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A digital rights aware similarity measure for multimedia documents","authors":"W. Allasia, F. Falchi, F. Gallo, N. Orio","doi":"10.1145/1290067.1290080","DOIUrl":"https://doi.org/10.1145/1290067.1290080","url":null,"abstract":"This paper presents a novel approach to the retrieval of multimedia documents that considers Intellectual Property Rights (IPR) metadata as a multidimensional feature in a metric space. The approach allows us to perform similarity searches on the IPR attributes of digital items and to integrate these searches in a common query-by-example paradigm. We aim at managing the metadata related to the IPR in both centralized and Peer-to-Peer systems with metric indexing capabilities. Together with content-based similarity search, IPR similarity search can help the end user to deal with a huge amount of similar items with different licenses. Moreover, content providers may be able to detect fake copies or illegal uses. Two use cases, related to the retrieval of music and images respectively, are presented to describe the possible applications of the approach.","PeriodicalId":82053,"journal":{"name":"MS","volume":"32 1","pages":"73-80"},"PeriodicalIF":0.0,"publicationDate":"2007-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84849141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards an ecosystem for semantics","authors":"A. Scherp, R. Jain","doi":"10.1145/1290067.1290069","DOIUrl":"https://doi.org/10.1145/1290067.1290069","url":null,"abstract":"Multimedia does not exhibit a unique semantics but multiple semantics that are influenced by many factors. Current approaches and systems lack from considering this problemin its entirety. What is needed is a holistic approach that describes and embraces the complex and challenging problem of multimedia semantics. Consequently, we are developing with the Semantics Ecosystem (SES) an approach that aimsat providing a \"framework\" for solving this problem. The SES defines five types of semantics and their relationships to each other and to the real world. In the paper, we present the SES and show its application to the domain of authoring multimedia albums. We show the benefits of having such a theoretical framework to handle the semantics of multimedia albums. The SES allows us to better understand, describe, and communicate the many different factors that are influencing multimedia semantics.","PeriodicalId":82053,"journal":{"name":"MS","volume":"25 1","pages":"3-12"},"PeriodicalIF":0.0,"publicationDate":"2007-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76757852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A distributed data space for music-related information","authors":"Yves Raimond, Christopher Sutton, M. Sandler","doi":"10.1145/1290067.1290081","DOIUrl":"https://doi.org/10.1145/1290067.1290081","url":null,"abstract":"In this paper, we describe how some key Semantic Web technologies can be used to gather in a single distributed knowledge environment several music-related sources of information, from digital archives to feature extractors or personal music collections. Such knowledge can then be used for a wide range of purposes, such as aggregation and information retrieval, visualisation and enriched access, or cross-repository interlinking. We also describe on-going efforts aiming at bootstrapping such a data-space, as well as preliminary results.","PeriodicalId":82053,"journal":{"name":"MS","volume":"50 1","pages":"81-89"},"PeriodicalIF":0.0,"publicationDate":"2007-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73742825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}